health informatics thesis topics

Nursing Informatics Research Topics and Titles for Nursing students

Nursing informatics research topics are a viable way to acquire evidence-based knowledge to be used in improving the quality of healthcare. As you write about different topics, you also get to solve nursing informatics-related issues, challenges, and barriers in your area of practice or given facilities.

Before we delve into the topics, let's begin by defining nursing informatics for purposes of clarity henceforth. According to the HIMSS, nursing informatics entails the integration of nursing science with multiple analytical and information sciences to define, identify, manage, and disseminate information, data, wisdom, and knowledge in nursing practice.

One must have a BSN, MSN, or certification to take up the nursing informatics roles. The nursing roles that fall under nursing informatics include nursing informaticist, nursing informatics specialist, nursing informatics clinician, chief nurse informatics officer, or perioperative informatics nurse.

115 Nursing and Healthcare Informatics Titles and Topics

• The Impact of nursing informatics on patient outcomes and patient care efficiencies
• Electronic Health Records (EHRs) and Meaningful Use
• The benefits of Electronic Case Reporting (eCR)
• Benefits of Health Information Exchange (HIE)
• Types of Health Information Exchange
• Use of Syndrome Surveillance
• Clinical Data Registry
• Cancer Registry Reporting
• How Immunization Information Systems and informatics Promote Immunizations
• Information Management in Cancer Registries
• Role of cancer registries
• Evolution of the cancer registrar in the era of Informatics
• Interoperability of patient population-based registries
• Interoperability and EHR
• Benefits of implementing Electronic Laboratory Reporting
• Eligibility and registration for public health meaningful use
• Benefits of understanding the onboarding process for EHR systems
• Rulemaking in electronic health systems
• Ethical Issues in electronic health records
• National laws governing the implementation of electronic health records
• Privacy and security issues in electronic health information
• Value of the electronic medical record for hospital care
• HITECH Act and the implementation of EHR
• Challenges facing the implementation of electronic health records
• Risks facing electronic health records
• Barriers to implementing electronic health records
• The Health Insurance Portability and Accountability Act and implementation of health information
• Steps of implementing electronic health records in a Hospital
• How does the 21 st Century Cures Act or the Cures Act impact the implementation of electronic health records
• Role of Medicare Access and CHIP Reauthorization Act of 2015 (MACRA) in the implementation of EHR
• Importance of clinical decision-making systems (CDSS)
• How implementing electronic healthcare can solve emergency room overcrowding
• Use of artificial intelligence in electronic health systems
• Application of predictive analytics in healthcare
• Benefits of implementing clinical image capture
• Benefits of patient portals
• Benefits of implementing telemedicine
• Benefits of Telepsychiatry for remote patients
• Decision Modeling and Natural Language Processing in Healthcare
• The use of computerized provider order entry (CPOE) by providers
• How to Become a Nursing Informatics Specialist
• Role of Nursing Informatics Educator
• Importance of nursing informatics
• The advocacy role of the American Health Information Management Association (AHIMA)
• Organizations coordinating the implementation of healthcare informatics in America
• Why get the AHIMA certification
• How to Become a Registered Health Information Technician (RHIT)
• The use of Big Data and data analytics in healthcare
• How electronic health records promote evidence-based Practice
• Electronic health records and teamwork
• Hof electronic health records promote interprofessional collaboration
• Role of Leadership in healthcare systems implementation
• Measuring the use of electronic health records in primary care
• How electronic health records facilitate nursing research
• Use of electronic health records among diabetic patients
• Attitudes and readiness of healthcare workers to use electronic health records
• How Electronic Health Records influences nurse Burnout
• Physician fatigue and electronic health records
• Factors affecting the access of patients to electronic medical records
• Role of Blockchain in mental health records management
• Impacts of Emergency Department EHR on Patient care outcomes
• The usability of emergency medicine electronic health record
• Are emergency rooms too busy for electronic records?
• How EHR in emergency departments improve diagnostic accuracy
• Benefits of mHealth to patients from remote areas
• Can HER be applied for psychiatry and behavioral health?
• Telepsychiatry system providers in the USA
• How telepsychiatry improves access and Use of mental health facilities
• Barriers to integrating EHRs in the mental healthcare sector
• Requirements for Psychiatry EHR
• The use of telepsychiatry during pandemics and disasters
• The benefits of telemedicine in the context of Covid-19
• Challenges in implementing telehealth
• Telehealth for the treatment of serious mental health illnesses and substance use disorders
• The application of telepsychiatry with adolescents and children: Issues, challenges, and promises
• Telepsychiatry malpractice insurance
• Role of the American psychiatric association in the Implementation of telepsychiatry
• Factors to consider before choosing online therapy
• Role of psychiatric nurses in telehealth advocacy
• Impacts of statewide telehealth policies on implementing telepsychiatry
• Strategies to improve telehealth visits
• Impacts of CMS Expansion of Medicare on telehealth implementation
• Perceptions and attitudes of perceptions of consumers on telehealth for mental health
• How telehealth was used to meet mental health needs during the COVID-19 pandemic
• The experiences of nursing students on remote consultations during the COVID-19 pandemic
• Impacts of using online simulations on nurse students
• Laws and policies governing the implementation of telemedicine and telehealth
• Use of telehealth and Telemedicine to address opioid overdose epidemics
• Use of telemedicine to address polypharmacy
• Using patient-centered EHR to teach students
• EHR-based medication support and nurse-led medication therapy management
• Benefits of electronic health record training for nurse leaders
• Challenges and benefits of implementing electronic health records in nursing education
• Postimplementation training and EHR
• Simulation-based training for EHR in nursing education
• How to Become an HER Trainer
• Are nurses the HER superuser?
• Clinical impacts of the use of electronic health records in operation rooms
• How EHR Improves the operating room efficiency
• Impacts of implementing EHR during surgeries
• How using EHR systems can increase operation times
• How poor usability of electronic health records leads to drug errors
• Role of clinical decision support systems (CDSS) in improving patient care
• Implications of using the digitally structured format for nursing shifts
• Impacts of health information technology on patient safety
• Improving healthcare quality through the use of healthcare technologies
• Does the use of technology enhance the diagnostic outcomes of patients?
• Effectiveness of simulation-based nursing Education
• Simulation-based training and attitudes and behavior of new nurses handling complex patients
• The effectiveness of using virtual reality in Nursing Education
• Does the use of point-of-care simulation help manage acute deterioration better?
• Impacts of using clinical virtual simulation in Nursing
• Does using Shadow Health clinical simulation exercises improve nurse students' grasp of concepts?
• Can simulation replace most of the clinical hours?
• The impacts of using 3D nursing simulations for nursing students

Check out our list of nursing essay and research paper topics to select one that suits your perspective, practice area, and interests.

Final Take!

Choosing a promising technology, informatics, and electronic health topic for a nursing essay , research paper, capstone, or dissertation can be challenging. As a result, you can be confused and uncertain. However, the 115 Nursing informatics topics list can help you navigate the process and brainstorm ideas to improve your nursing papers' titles.

Related Readings:

• A list of common nursing theories
• Excellent nursing capstone project ideas and topics.
• Review of WGU RN to BSN Program.
• Nursing paper topics to write papers about
• Steps for nursing care planning
• How to write a perfect capstone project.

If you have highlighted some topics off this list, you should consult with your nurse educator, teacher, professor, or dissertation supervisor. You can then get ideas on how to approach the topic. You can also tailor the topic to the needs of your course.

Good luck as you choose. If you need help choosing the topics, order a one-page paper from our website, and our nursing writers will research 3-4 of the best topics with a few sentences of explanation on the potential focus.

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Dissertations M.Sc. in Health Informatics

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Article Contents

• CONFLICT OF INTEREST STATEMENT

Hot topics in clinical informatics

• Article contents
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Suzanne Bakken, Hot topics in clinical informatics, Journal of the American Medical Informatics Association , Volume 27, Issue 4, April 2020, Pages 503–504, https://doi.org/10.1093/jamia/ocaa025

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In my first editorial as Journal of the American Medical Informatics   Association Editor-in-Chief, entitled “Doing What Matters Most,” I called for a consequentialist approach to biomedical informatics that is tied to improving our outcome of interest—human health. 1 I further noted that this requires focusing our informatics research and its translation in practice on important health issues and the challenges facing our healthcare system. In this editorial, I highlight 4 clinical informatics articles that reflect a consequentialist perspective; 3 address an aspect of healthcare efficiency 2–4 and the fourth describes an approach for mitigating the prescription opioid epidemic. 5 In my inaugural editorial, I also noted that a consequentialist approach did not mean a lack of attention to methodological rigor. Thus, the fifth article highlighted from this issue concentrates on a methodological concern: predictive model calibration. 6

Electronic health record (EHR)–associated clinician burnout remains a hot topic in clinical informatics and beyond 7 and will be the focus of a 2021 Special Issue. See for the call for papers at https://academic.oup.com/jamia/pages/call-for-papers-clinician-burnout. Of high relevance to this topic, 2 articles in this issue address the need for standardized EHR metrics related to clinician efficiency. 2 , 3

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• v.27(4); 2020 Apr

Hot topics in clinical informatics

Suzanne bakken.

School of Nursing, Department of Biomedical Informatics, Data Science Institute, Columbia University, New York, New York, USA

In my first editorial as Journal of the American Medical Informatics   Association Editor-in-Chief, entitled “Doing What Matters Most,” I called for a consequentialist approach to biomedical informatics that is tied to improving our outcome of interest—human health. 1 I further noted that this requires focusing our informatics research and its translation in practice on important health issues and the challenges facing our healthcare system. In this editorial, I highlight 4 clinical informatics articles that reflect a consequentialist perspective; 3 address an aspect of healthcare efficiency 2–4 and the fourth describes an approach for mitigating the prescription opioid epidemic. 5 In my inaugural editorial, I also noted that a consequentialist approach did not mean a lack of attention to methodological rigor. Thus, the fifth article highlighted from this issue concentrates on a methodological concern: predictive model calibration. 6

Electronic health record (EHR)–associated clinician burnout remains a hot topic in clinical informatics and beyond 7 and will be the focus of a 2021 Special Issue. See for the call for papers at https://academic.oup.com/jamia/pages/call-for-papers-clinician-burnout . Of high relevance to this topic, 2 articles in this issue address the need for standardized EHR metrics related to clinician efficiency. 2 , 3

In a Perspective, Hron and Lourie 2 describe the challenges of using vendor metrics in the context of understanding clinician burnout. One such challenge in their experience is the use of proprietary algorithms for clinician metrics that cannot be validated by the institutions using them. In addition, they identify the lack of industry-standard metrics to analyze and report clinician time spent in the EHR as an additional challenge because of the inability to easily compare metrics across vendor EHRs. They argue for partnerships that would increase the transparency through industry standards and achieve 3 goals: improved representation of EHR-related clinician burden, increased perception that vendors are part of the solution and not just the problem, and an opening up of the possibility of cross-platform benchmarks for institutions.

Relevant to the challenges identified by Hron and Lourie, Sinsky and a team of national experts 3 propose 7 core measures of EHR use that reflect multiple dimensions of practice efficiency: total EHR time, work outside of work, time on documentation, time on prescriptions, inbox time, teamwork for orders, and an aspirational measure for the amount of undivided attention patients receive from their physicians during an encounter, undivided attention. They note as limitations that these measures are best suited for ambulatory care settings, have an initial focus on physicians, and are time-based. However, Sinsky et al argue that these measures provide an important foundation for further expansion. In addition, they delineate a set of challenges, including those related to measure implementation (eg, definitions, mapping of EHR content to work), validation of proposed measures, normalization (eg, denominators and time frames), and generalizability to other settings.

Richesson et al 4 examine efficiency from the institutional perspective in their article about assessing the feasibility of clinical decision support (CDS) implementation. Their premise is that a measure of CDS feasibility from the perspective of local data availability and readiness will enable organizations to estimate the technical effort required to implement a CDS intervention that will function effectively as intended. 4 Using 10 Choosing Wisely recommendations relevant to the emergency department setting, 8 they (1) describe key features of clinical concepts and data required to implement the recommendations as CDS; (2) assess the feasibility, data availability, and requirements for additional data collection; and (3) identify features useful for predicting feasibility of implementing automated CDS for the recommendations in EHR systems. Not surprisingly, a linear mixed model showed that the need for new data collection was predictive of lower implementation feasibility. However, the number of clinical concepts in each recommendation, need for historical data, and ambiguity of clinical concepts did not predict implementation feasibility.

A critical application domain for clinical informatics is the opioid epidemic, given its public health significance. In a simulation study, Hussain et al 5 examined how the presentation of patient information and CDS advisories influences physician opioid prescribing behavior. In a randomized controlled experiment using 4 simulated patient cases, 24 physicians were randomized to the conventional condition (tabular presentation of prescription opioid prescriptions and interruptive CDS [ie, pop-ups]) or the alternative condition (graphical opioid history, a cue to visit that history, and noninterruptive CDS). Demonstrations of the 2 designs are available online ( https://www.ics.uci.edu/∼mihussai/demos/2019-simulation-study/ ). Based on the judgments of 2 attending pain specialists, physicians in the alternative condition wrote more appropriate prescriptions and most preferred the alternative design to the conventional design.

Predictive models remain an important research topic while also gaining traction in practice. Model calibration is critical for making individual predictions, yet many studies focus only on model discrimination. Huang et al 6 provide an introductory tutorial on calibration measurements and models. Using existing R packages and custom code with real and simulated data, they demonstrate application of selected calibration measurements and models. The code is available online ( https://github.com/easonfg/cali_tutorial ). They also describe the pros and cons of the various methods and make practical suggestions on how to use them in practice.

It is vital that biomedical and health informatics researchers and practitioners concentrate efforts on what matters most, and Journal of the American Medical Informatics Association remains committed to disseminating such work.

CONFLICT OF INTEREST STATEMENT

None declared.

UCL Institute of Health Informatics

• Postgraduate taught

Dissertation in Health Informatics

All MSc students complete a dissertation or project looking at an aspect of informatics, normally related to their work. This gives students the opportunity to frame their own research questions and carry out a significant piece of research within a real clinical environment. The aim of this course is to develop the student’s ability to undertake independent research particularly in relation to:

• Critical reviewing the relevant literature
• Planning and application of one or more appropriate research techniques
• Managing time and resources to meet a deadline
• Addressing ethics issues where appropriate
• Data analysis
• Evaluation of the results
• Effective presentation of research findings

Widget Placeholder http://mediacentral.ucl.ac.uk/Player/8071

Module code

Ucl credits, course length.

2020: 20 October (Supervisor Fair), 17 November & 15 December.

2021: 19 January, 16 February. 16 March, 20 April, 18 May, 15 June & 13 July.

Assessment Dates

Project proposal submission: 25 January 2021, 4:30pm. Journal paper submission: 01 September 2021, 4:30pm

Module Organiser

Ms Pippa Bark  for further information contact [email protected]

Who can study this course?

MSc Health Informatics students

Admission requirements

Open to all UCL MSc Health Informatics students who have or are in the process of completing the eight taught modules.

Independent research project

Proposal (20%). Journal paper (80%)

Selected reading list

Dependent on project area

• Health Sciences Informatics–Research, MS

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Student blogs

Thesis topics in health informatics – a summary of previous master theses at karolinska institutet.

Our thesis semester has just started and my fellow classmates and I are in the midst of reading literature and analyzing data (ok, and also sometimes stressing about everything, but you know. That is part of the deal)

Thinking back to last October/November, I remember that some of us had struggles finding a thesis topic. Thus, I went ahead and summarized the thesis topics from the past three years (2017-2019). Maybe you find some inspiration for your research!

Disclaimers – The categories were chosen by just looking at the titles. Thus, please excuse if I put a topic in the wrong category. – Students can either write their thesis at KI or at Stockholm University (DSV). Topics concerning data science usually will be supervised by DSV (Department of Computer and System Sciences) – You may (or may not) notice a few mentions of case studies in Sweden (Hint: Karolinska Institutet is situated in Stockholm). This explains the case studies for 1177.se, Journalen and Janusmed. – Furthermore, a few of the data science topics focus on adverse drug events (ADEs). While ADEs are of course a very important research topic, these topics may have also been chosen due to the fact that at DSV one can get access to a well pre-processed ADE database. (And let me tell you, not having to be too worried about pre-processing data saves you so much time. We only have a few months to write our thesis after all)

e-Health / Digitalisation topics

• Identification of user needs and requirements for a text-mining tool, through user centered design, for users working in a medical device company call-log center
• Towards an ontology for trustful mHealth apps
• The trusted Blockchain technology: A unique chance for establishing encompassing Personal Health Records? – Prototyping Health Block Case Study
• Nursing home residents’ satisfaction: from feature selection to understanding
• Evaluation of an Ultrasound Simulator for Educational Purposes in Healthcare
• Re-engineering and Digitalisation of a Graphical Assessment Framework for Mobile Health Apps
• A unified theory of acceptance and use of technology informed evaluation of an administrative system used in healthcare management
• Expectations mismatch – The importance of healthcare experience when designing clinical decision support systems: A qualitative interview study

Tool specific topics

• A study of execution engines and languages for computerized clinical practice guidelines: Towards a re-engineering of OpenEHR Guideline Definition Language
• Evaluation of Guideline Conformity for User Interface of Medication Prescription Clinical Decision Support Systems: the case of Janus Toolbar
• What are patients’ experiences of using Journalen and what improvement suggestions do they have? An analysis of voluntary user feedback about a Swedish patient-accessible electronic health record
•  A usability study of ParkWell – a mobile application for self-tracking Parkinson´s disease
• Facilitating Technology-based Mental Health Interventions with Mobile Virtual Reality and Wearable Smartwatches
• Evaluation of the Compliance of a Knowledge-based Support for Janusmed interactions and Janusmed risk profile with Web Content Accessibility Guidelines 2.0
• Use of video consultation in primary care in Sweden: A comparison between video and physical consultation
• A qualitative study exploring hearing aid users’ experiences using the Swedish national patient portal 1177.se and eHealth service Journalen
• Evaluation of the Accessibility of an online Clinical Decision Support System by Web Content Accessibility Guidelines (WCAG) 2.0: The case study of Janusmed Knowledgebases

Country specific case studies

• Exploring Differences, Similarities of Swedish and South African eHealth Strategies and Possibilities for Creating a Draft for an Evaluation Model of Their Implementation
• Factors to consider when implementing mobile technology in hospital settings – a case study at Karolinska Hospital
• Electronic Health Record Workarounds in Team-based Care Setting – A qualitative exploratory case study at a Federally Qualified Community Health Center
• Towards a framework for eHealth evaluation and monitoring of the implementation of the Swedish national eHealth strategy
• The impact of mHealth services on workflow when delivering home care to patients living in rural areas – A comparison of case studies in Sweden and South Africa
• Should emergency care data be more visual? A remote usability evaluation of visual representation formats for Emergency Department Information Systems by American physicians
• Evaluation of how clinical content, infrastructure and implementation process affect the use of mobile health applications for clinical documentation – two case studies A comparison between South Africa and Sweden
• Design, implementation and evaluation of a deviation detection software application based on historical data in a syndromic surveillance system in Sweden: an experimental study
• Health care professionals’ experience with Patient Accessible Electronic Health Records in Swedish Psychiatric care: a mixed methodology study
• Governance of Electronic Health Records in Sweden and the United States: A Qualitative Case Study
• A qualitative study of key stakeholder perspectives on integration of electronic consultations into healthcare in Sweden

Data science topics

• Low-Dimensional Medical Concept Representation Learning from MIMIC-III database and Applications in Adverse Drug Event
• Classification of ECG signals using random shapelet forests and lazy learners.
• The correlations between the parameters of well-being and driving performance – An investigation on how predictive modelling can be used for identifying wellness factors which have an impact on driving performance
• Predictive Modelling for the Ovarian cancer diagnosis using platelet-based method
• Feature-based classification of temporal data from Electronic Health Records
• Unsupervised pre-training of a neural network to detect healthcare-acquired infections using Swedish electronic health records
• Actionable Adverse Drug Event Machine Learning Classifiers
• The importance of social media mining in pharmacovigilance: How using Natural Language Processing and Machine Learning techniques to actively monitor social media can benefit in early adverse drug events detection and pharmacovigilance
• Exploring the clinical relevance of data science predictions: A comparison of the data science features and the medical pathways that underlie adverse drug event predictions
• Distance measures for preprocessing of electronic health record data
• Application of early random shapelet forest to electrocardiograms for the identification of myocardial infarction
• Multi-scale histopathology image classification for prostate cancer using deep learning
• Feature optimization of contact map predictions based on inter-residue distances and U-Net++ architecture
• Discretization of Sparse,Multivariate TimeSeries for Detection of Adverse Drug Events
• Introducing Interpretable Machine Learning for Healthcare: Potentials and Requirements
• Segmentation of Gliomas with Gaussian Mixture Models and Saliency Maps
• Predicting Adverse Drug Events from Electronic Health Records using Heterogeneous Medical Data Sources
• Detecting subtle changes in vital signs to estimate age in pre-term neonatal population – A risk assessment for early neonatal sepsis in neonatal Intensive Care Unit (NICU): A machine learning approach
• Feasibility of Implementing Robotic Process Automation for Rule-based Decision Support upon an Electronic Health Record Application – A Study for Sepsis Detection
• Constructing physiology-based risk-scores for clinical deterioration in post-ICU patients
• Biomarker Discovery and Identification for Colorectal Cancer Regarding Sex Differences with Machine Learning Techniques
• Using large-scale electronic health record data to predict delirium in ICU units: An evidence-based machine learning approach
• Biomedical and health informatics competencies – A Delphi Study

Title Photo by Erik Flyg, 2019

• health informatics research
• Master's thesis

Anne Flint - Health Informatics (M.Sc.)

Hej! I am Anne. I am a second year student of the Health Informatics programme. I love data science in the medical field and exploring Stockholm!

Hello Admin, It is very nice that your blog is providing information regarding the program. I want to aware you towards the “Gilead Medicinal Chemistry Summer Internship”. The Application Deadline is open. For more information, you can go through – https://www.biginternships.com/gilead-medicinal-chemistry-summer-internship/ Please also check other exciting internship opportunities at https://www.biginternships.com/

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• Academic Programs

PhD in Health Sciences Informatics Program

The PhD is a campus based program only.

Directed by Hadi Kharrazi, MD, PhD, the program offers the opportunity to participate in ground breaking research projects in clinical informatics at one of the world’s finest medical schools. In keeping with the tradition of the Johns Hopkins University and the Johns Hopkins Hospital, the program seeks excellence and commitment in its students to further the prevention and management of disease through the continued exploration and development of health IT. Division resources include a highly collaborative clinical faculty committed to research at the patient, provider and system levels. The admissions process will be highly selective and finely calibrated to complement the expertise of faculty mentors.

Areas of research:

• Clinical Decision Support
• Global Health Informatics
• Health Information Exchange (HIE)
• Human Computer Interaction
• Multi-Center Real World Data
• Patient Quality & Safety
• Population Health Analytics
• Precision Medicine Analytics
• Standard Terminologies
• Telemedicine
• Translational Bioinformatics

Vivien Thomas Scholars Initiative

As diverse PhD students at Johns Hopkins, Vivien Thomas scholars will receive the academic and financial support needed to ensure their success, including up to six years of full tuition support, a stipend, health insurance and other benefits, along with significant mentorship, research, professional development and community-building opportunities.

Click here to read more.

Application Requirements for the PhD in Health Sciences Informatics

Applicants with the following degrees and qualifications will be considered:

• BA or BS, or
• BA or BS, and a minimum of five years professional experience in a relevant field, or
• MA, MLS, MD or other PhD, with no further requirements.

"Relevant fields" include medicine, dentistry, veterinary science, nursing, ancillary clinical sciences, public health, librarianship, biomedical basic science, bioengineering and pharmaceutical sciences and computer and information science. An undergraduate minor or major in information or computer science is highly desirable.

The Application Process

Applications for the class entering in academic year 2024-2025 will be accepted starting in September 1, 2023 through December 15, 2023. (The application is made available through the Johns Hopkins School of Medicine here. )

Please note that paper applications are no longer accepted. The supporting documents listed below must be received by the SOM admissions office by December 15, 2023 . Applications will not be reviewed until they are complete and we have all supporting letters and documentation. 

• Curriculum vitae
• Three letters of recommendation
• Official transcript of school record
• Certification of terminal degree
• Statement of Purpose
• You may also submit a portfolio of published research, or samples of website or system development to support your application if you wish.

This program does not require the GRE.

Important Transcript Information

It is the policy of the School of Medicine Registrar that new students have a complete set of original transcripts on file prior to matriculation showing the degree awarded and date. An official transcript is one that is addressed to the Office of Graduate Student Affairs and sent directly from the granting institution to Johns Hopkins University School of Medicine, Office of Graduate Student Affairs, 1830 East Monument Street, Ste. 620, Baltimore, MD 21287. The transcript envelope must be sealed and stamped on arrival at the OGSA office. Transcripts addressed to the student can not be accepted even if they are sent to the OGSA address above.

Program Description

Individuals wishing to prepare themselves for careers as independent researchers in health sciences informatics, with applications experience in informatics across the entire health/healthcare life cycle, should apply for admission to the doctoral program. The following are specific requirements:

• A student should plan and successfully complete a coherent program of study including the core curriculum, Oral Examination, and additional requirements of the Research Master’s program. In addition, doctoral candidates are expected to take at least two more advanced courses. In the first year, two or three research rotations are strongly encouraged. The Master’s requirements, as well as the Oral Examination, should be completed by the end of the second year in the program. Doctoral students routinely will not be receiving a Masters degree on their way to the PhD; particular exceptions will be decided on a case-by-case basis. Doctoral students are generally advanced to PhD candidacy after passing the Oral Examination. A student’s academic advisor has primary responsibility for the adequacy of the program, which is regularly reviewed by the Doctoral Study Committee (DSC) of the Health Sciences Informatics (HSI) program.
• The student must have a minimum of two consecutive semesters (four quarters) of full time enrollment and resident on campus as a graduate student
• To remain in the PhD program, each student must receive no less than an B in core courses, must attain a grade point average (GPA) as outlined above, and must pass a comprehensive exam covering introductory level graduate material in any curriculum category in which he or she fails to attain a GPA of 3.0. The student must fulfill these requirements and apply for admission to candidacy for the PhD by the end of six quarters of study (excluding summers). In addition, reasonable progress in the student’s research activities is expected of all doctoral candidates.
• During the third year of training, generally in the Winter Quarter, each doctoral student is required to present a pre-proposal seminar that describes evolving research plans and allows program faculty to assure that the student is making good progress toward the definition of a doctoral dissertation topic. By the end of nine quarters (excluding summers), each student must orally present a thesis proposal to a dissertation committee that generally includes at least one member of the Graduate Study Committee of the Health Sciences Informatics program. The committee determines whether the student’s general knowledge of the field, and the details of the planned thesis, are sufficient to justify proceeding with the dissertation.
• As part of the training for the PhD, each student is required to be a teaching assistant for two courses approved by the DHSI Executive Committee; one should be completed in the first two years of study.
• The most important requirement for the PhD degree is the dissertation. Prior to the oral dissertation proposal and defense, each student must secure the agreement of a member of the program faculty to act as dissertation advisor. The University Preliminary Oral Exam (UPO) committee must consist of five faculty members, two of whom to be from outside the program, with the chair of the UPO committee coming from outside the program. The Thesis Committee comprises the principal advisor, who must be an active member of the HSI program faculty, and other, approved non HSI faculty members. Thesis committees must meet formally at least annually. Upon completion of the thesis research, each student must then prepare a formal written thesis, based on guidelines provide by the Doctor of Philosophy Board of the University.
• No oral examination is required upon completion of the dissertation. The oral defense of the dissertation proposal satisfies the University oral examination requirement.
• The student is expected to demonstrate the ability to present scholarly material orally and present his or her research in a lecture at a formal seminar, lecture, or scientific conference.
• The dissertation must be accepted by a reading committee composed of the principal dissertation advisor, a member of the program faculty, and a third member chosen from anywhere within the University. All University guidelines for thesis preparation and final graduation must be met.
• The Executive Committee documents that all Divisional or committee requirements have been met.

Program Handbook

Details about our program's policies are provided in our handbook here .

In addition, mentoring advising and resources are provided in this appendix .

An annual discussion and planning form is provided here for your reference.

Course Offerings

The proposed curriculum is founded on four high-level principles:

• Balance between theory and research, and between breadth and depth of knowledge: By providing a mix of research and practical experiences and a mix of curricular requirements.
• Student-oriented curriculum design: By creating the curriculum around student needs, background, and goals, and aiming at long-term competence using a combination of broadly-applicable methodological knowledge, and a strong emphasis on self-learning skills.
• Teaching and research excellence: By placing emphasis on student and teaching quality rather than quantity, by concentrating on targeted areas of biomedical informatics, and by close student guidance and supervision.
• Developing leadership: By modeling professional behavior locally and nationally.

The Health Sciences Informatics Doctoral Curriculum integrates knowledge and skills from:

• Foundations of biomedical informatics: Includes the lifecycle of information systems, decision support.
• Information and computer science: E.g. computer organization, computability, complexity, operating systems, networks, compilers and formal languages, data bases, software engineering, programming languages, design and analysis of algorithms, data structures.
• Research methodology: Includes research design, epidemiology, and systems evaluation; mathematics for computer science (discrete mathematics, probability theory), mathematical statistics, applied statistics, mathematics for statistics (linear algebra, sampling theory, statistical inference theory, probability).
• Implementation sciences: Methods from the social sciences (e.g., organizational behavior and management, evaluation, ethics, health policy, communication, cognitive learning sciences, psychology, and sociological knowledge and methods.) Health economics, evidence-based practice, safety, quality.
• Specific informatics domains: Clinical informatics, public health informatics.
• Practical experience: Experience in informatics research, experience with health information technology.

To achieve in-depth learning of the above knowledge and skills we adopt a student-oriented curriculum design, whereby we identify “teaching or learning processes,” that is, structured activities geared towards learning (i.e., courses/projects/assignments, seminars, examinations, defenses, theses, teaching requirements, directed study, research, service, internships). These processes were selected, adapted, or created in order to meet a set of pre-specified learning objectives that were identified by the faculty as being important for graduates to master.

The requirements are:

• 35 quarter credits/17.5 semester credits Core Courses (9 courses + research seminar 8 quarters)
• 48 quarter credits/24 semester credits Electives (may include optional practicum/research)
• 6 quarter credits/3 semester credits ME 250.855 practicum/ research rotation
• 36 quarter credits/18 semester credits ME 250.854 Mentored Research
• 125 TOTAL quarter credits/62.5 semester credits

Students are required to be trained in HIPAA and IRB submission, and to take the Course of Research Ethics.

IRB Compliance Training:

https://www.hopkinsmedicine.org/institutional_review_board/training_req…

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Search UTHealth Houston

Phd dissertations.

Sorted by year and author.

All SBMI PhD dissertations can be requested from the Texas Medical Center Library . Full text of dissertations are available online for open access in the Digital Commons of the TMC Library . Note that recent dissertations will not be immediately available as the online collection is updated and indexed.

Yanfei Wang, MS (2023) Advancing Precision Medicine: Unveiling Disease Trajectories, Decoding Biomarkers, and Tailoring Individual Treatments PhD thesis, McWilliams School of Biomedical Informatics at UTHealth Houston.

Tavleen Kaur Ranjit Singh, MS (2023) Context-aware Content-sensitive Modeling of Online Peer Interactions in Social Media: Towards Personalized Digital Experiences for Behavior Change and Health Promotion PhD thesis, McWilliams School of Biomedical Informatics at UTHealth Houston.

Sarah May, BS, MS, MPH (2023) Automating Construction of Fair Models for HIV Risk Prediction Using Neighborhood Data PhD thesis, McWilliams School of Biomedical Informatics at UTHealth Houston.

Astrid Manuel, BSc (2023) Translational Bioinformatics Approaches for Decoding Mechanisms and Developing Drug Repositioning Strategies in Multiple Sclerosis PhD thesis, McWilliams School of Biomedical Informatics at UTHealth Houston.

Bingrui Li, BS (2023) Unveiling the Hidden Landscape of Tumors: Developing Cutting-Edge Machine Learning Approaches to Determine the Compositions of Cells and Exosomes PhD thesis, McWilliams School of Biomedical Informatics at UTHealth Houston.

Alexandra Zingg, MPH, MS (2023) Leveraging Digital Technologies for Management of Peripartum Depression to Mitigate Health Disparities PhD thesis, The University of Texas School of Biomedical Informatics at Houston.

Sarvesh Soni, B.Tech., MS (2023) Question Answering from Electronic Health Records PhD thesis, The University of Texas School of Biomedical Informatics at Houston.

Zhao Li, M.Eng. (2023) Cancer Risk Prediction and Interpretation from Electronic Health Records PhD thesis, The University of Texas School of Biomedical Informatics at Houston.

Fangfang Yan, MS (2022) Informatics Approaches for Capturing Dynamic Gene Expression and Regulation PhD thesis, The University of Texas School of Biomedical Informatics at Houston.

Su Wang, MBE (2022) Development of Enabling Technologies for Genomic Analysis PhD thesis, The University of Texas School of Biomedical Informatics at Houston.

Jingqi Wang, MS (2022) Disease Concept Normalization for Clinical Documents Using Deep Learning and Knowledge Graphs PhD thesis, The University of Texas School of Biomedical Informatics at Houston.

Nina Smith, MPH (2022) Proposing a Conceptual Model of the Unintended Consequences of Health Information Technology Policy PhD thesis, The University of Texas School of Biomedical Informatics at Houston.

Surabhi Datta, BE, MS (2022) Spatial Information Extraction from Radiology Reports PhD thesis, The University of Texas School of Biomedical Informatics at Houston.

Yi-Ching Tang, MS (2022) Utilizing Molecular Pathways to Provide Generalizable, Explainable, and Translatable Models from Cancer Drug Response Prediction PhD thesis, The University of Texas School of Biomedical Informatics at Houston.

Carlos Artuto Perez Aldana, MS (2022) Social Network Analysis of Online Support Communities for Adolescent and Young Adult Cancer Survivors PhD thesis, The University of Texas School of Biomedical Informatics at Houston.

Roni Matin, MSc (2022). Identifying Risk Factors for Anchoring Bias during Emergency Department Transitions of Care PhD thesis, The UTHealth Houston School of Biomedical Informatics

Xinyuan Zhang, MS (2022). Computer-Aided Diagnosis for Melanoma using Ontology and Deep Learning Approaches PhD thesis, The UTHealth Houston School of Biomedical Informatics

Laila Rasmy Gindy Bekhet, MS (2021). Secondary use of Structured Electronic Health Records Data: From Observational Studies to Deep Learning-based Predictive Modeling PhD thesis, The UTHealth Houston School of Biomedical Informatics

Yuqi Si, MS (2021). Enhance Representation Learning of Clinical Narrative with Neural Networks for Clinical Predictive Modeling PhD thesis, The UTHealth Houston School of Biomedical Informatics

Xiao Dong, MD, MS (2021). Standardizing New Diagnostic Tests to Facilitate Rapid Responses to The Covid-19 Pandemic PhD thesis, The University of Texas School of Biomedical Informatics at Houston.

Maryam Y. Garza, MPH, MMCi (2020). Determining the Utility of HL7 ® Fast Healthcare Interoperability Resources (FHIR ® ) Standards in Supporting EHR and EDC-agnostic eSource Implementations for Clinical Research PhD thesis, The University of Texas School of Biomedical Informatics at Houston.

Qiang Wei, MS (2020). Table-to-Text: Generating Descriptive Text for Scientific Tables from Randomized Controlled Trials PhD thesis, The University of Texas School of Biomedical Informatics at Houston.

Muhammad Amith, MS (2019). Design and Architecture of an Ontology-driven Dialogue System for HPV Vaccine Counseling PhD thesis, The University of Texas School of Biomedical Informatics at Houston.

Jingcheng Du, BS (2019). VaxInsight: an artificial intelligence system to access large-scale public perceptions of vaccination from social media PhD thesis, The University of Texas School of Biomedical Informatics at Houston.

Kang Lin Hsieh, MS (2019). Utilizing Temporal Information in The EHR for Developing a Novel Continuous Prediction Model PhD thesis, The University of Texas School of Biomedical Informatics at Houston.

Vickie Nguyen, MA, MS (2019). TURF for Teams: Considering Both the Team and I in the Work-Centered Design of Systems PhD thesis, The University of Texas School of Biomedical Informatics at Houston.

Safa Fathiamini, MD, MS (2018). Comparing Attributional and Relational Similarity as a Means to Identify Clinically Relevant Drug-gene Relationships PhD thesis, The University of Texas School of Biomedical Informatics at Houston.

Jun Li, MS (2018). Ontology-Based Clinical Information Extraction Using SNOMED CT PhD thesis, The University of Texas School of Biomedical Informatics at Houston.

Scott Malec, MLIS, MSIT (2018). Using the Literature to Identify Confounders PhD thesis, The University of Texas School of Biomedical Informatics at Houston.

Melissa P. Resnick, MLS (2018). Characterizing the Information Needs of Rural Healthcare Practitioners with Language Agnostic Automated Text Analysis PhD thesis, The University of Texas School of Biomedical Informatics at Houston.

Barbara Berkovich, MA (2017). Impact of Terminology Mapping on Population Health Cohorts PhD thesis, The University of Texas School of Biomedical Informatics at Houston.

Francis Manion (2017). A Life Cycle Approach to the Development and Validation of an Ontology of the U.S. Common Rule (45 C.F.R. § 46) PhD thesis, The University of Texas School of Biomedical Informatics at Houston.

Scott Sittig, MHI, RHIA (2017). Integrating Behavioral Trigger Messages into a mHealth System Design for Chronic Disease Management PhD thesis, The University of Texas School of Biomedical Informatics at Houston.

Zhiguo Yu, MS (2017). Understanding PubMed Search Results using Topic Models and Interactive Information Visualization PhD thesis, The University of Texas School of Biomedical Informatics at Houston.

Min Jiang, MS (2017). Improving Syntactic Parsing of Clinical Text Using Domain Knowledge PhD thesis, The University of Texas School of Biomedical Informatics at Houston.

Chen Liang, MS (2017). Understanding Patient Safety Reports via Multi-label Text Classification and Semantic Representation PhD thesis, The University of Texas School of Biomedical Informatics at Houston.

Jose Franck Diaz, MS (2016). DataGauge: A Model-Driven Framework for Systematically Assessing the Quality of Clinical Data for Secondary Use PhD thesis, The University of Texas School of Biomedical Informatics at Houston.

J. Caleb Goodwin, MS, BS (2015). Implications of computational cognitive models for information retrieval PhD thesis, The University of Texas School of Biomedical Informatics at Houston.

Deevakar Rogith, MBBS (2015). Process Mining of Medication Revisions in Electronic Health Records PhD thesis, The University of Texas School of Biomedical Informatics at Houston.

Claire Loe, BA, MPH (2015). Designing for Practice Development in a Social Learning System: Communicating Norms and Vicarious Experience PhD thesis, The University of Texas School of Biomedical Informatics at Houston.

Jianbo Lei, MD, MS, MA (2014). Named Entity Recognition in Chinese Clinical Text PhD thesis, The University of Texas School of Biomedical Informatics at Houston.

Ning Shang, MS (2014). Integrating Domain Knowledge to Improve Signal Detection from Electronic Health Records for Pharmacovigilance PhD thesis, The University of Texas School of Biomedical Informatics at Houston.

Sahiti Myneni, MSE (2013). Attributing Meaning to Online Social Network Analysis  for Tailored Socio-Behavioral Support Systems PhD thesis, The University of Texas School of Biomedical Informatics at Houston.

Sina Madani, MD, MS (2013). Development and Evaluation of an Ontology-Based Quality Metrics Extraction System PhD thesis, The University of Texas School of Biomedical Informatics at Houston.

Ashish Joshi, MD, MPH (2012). The SanaViz: Human Centered Geovisualization to Facilitate Visual Exploration of Public Health Data PhD thesis, The University of Texas School of Biomedical Informatics at Houston.

Phatak, S. S., MS (2012). Advanced Protein Modeling Method: Benchmarking and Applications in Computer-Aided Drug Discovery PhD thesis, The University of Texas School of Biomedical Informatics at Houston.

Srinivasan, A., MS (2012). A Method for representing contextualized Information (MeRCI) To Improve Situational Awareness Among Electronic Message Brokering System Dashboard Users PhD thesis, The University of Texas School of Biomedical Informatics at Houston.

Rusu, M., Meng, MS (2011). Modeling Techniques for the High-Resolution Interpretation of Cryo-Electron Microscopy Reconstructions PhD thesis, The University of Texas School of Biomedical Informatics at Houston.

McGuire, M., BS, MS (2011). Pathway Semantics: An Algebraic Data Driven Algorithm to Generate Hypotheses about Molecular Patterns Underlying Disease Progression PhD thesis, The University of Texas School of Biomedical Informatics at Houston.

Maffei, R., BS, MS(2011). Understanding and Characterizing Shared Decision-Making and Behavioral Intent in Medical Uncertainty   PhD thesis, The University of Texas School of Biomedical Informatics at Houston. 

Kennedy, C., MD, MS (2010). Time Series Analysis as Input for Predictive Modeling: Predicting Cardiac Arrest in a Pediatric Intensive Care Unit PhD thesis, The University of Texas School of Biomedical Informatics at Houston. 

Zhu, M., MD, MS(2010). Formalizing a Conceptual Framework of Work Domain Knowledge PhD thesis, The University of Texas School of Biomedical Informatics at Houston. 

Nahm, Meredith, MS (2010). Data Accuracy in Medical Record Abstraction PhD thesis, The University of Texas School of Biomedical Informatics at Houston. 

Smith, Kimberly, PhD (2010). The Effect of Proximity, Explicitness, and Representation of Basic Science Information on Student Clinical Program-Solving PhD thesis, The University of Texas School of Health Information Sciences at Houston. 

Mirhaji, Parsa, MD (2009). Biomedical Language Understanding and Extraction: A Minimal Syntactic, Semantic Method PhD thesis, The University of Texas School of Health Information Sciences at Houston.

Florez-Arango, J., MD, MS (2009). Workload and Performance Factors Associated with Multimedia Jobs Aids for Community Health Workers PhD thesis, The University of Texas School of Health Information Sciences at Houston.

McLane, S., MS, MBA, RN-BC (2009). Understanding Nurse Created Cognitive Artifacts:Personally-Created-Cognitive-Artifacts as External Representations of Distributed Cognition PhD thesis, The University of Texas School of Health Information Sciences at Houston.

Esquivel, A., MD, MS (2008). Characterizing, Assessing, and Improving Healthcare Referral Communication PhD thesis, The University of Texas School of Health Information Sciences.

Herskovic, J.R., MD, MS (2008). Unsupervised Indexing Of Medline Articles Through Graph-Based Ranking PhD thesis, The University of Texas School of Health Information Sciences.

Rankin, J., BA, MHA, MS, MPH, PHD (2008). The Multiple Location Time Weighted Index: Using Patient Activity Spaces to Calculate Primary Care Service Areas PhD thesis, The University of Texas School of Health Information Sciences at Houston.

Chen, J., DDS, MS, PhD, (2007). Developing a Method for Identifying and Reducing Functional Discrepancies of Information Systems PhD thesis, The University of Texas School of Health Information Sciences at Houston.

Bhavanne, R., MS (2006). Nanoparticle Agglomerates for Pulmonary Drug Delivery PhD thesis, The University of Texas School of Health Information Sciences at Houston.

Brixey, J.J., RN, PhD (2006). Understanding Interruptions in Healthcare: Developing a Model PhD thesis, The University of Texas School of Health Information Sciences at Houston.

Gong, Y., MD, MS (2006). The Interaction Between Internal and External Information on Relational Data Search PhD thesis, The University of Texas School of Health Information Sciences at Houston.

Walji, M.F., MS (2006). Does the Message Matter? Enhancing Patient Adherence through Persuasive Messages PhD thesis, The University of Texas School of Health Information Sciences at Houston.

Michea, Y.F., MD, MS, PhD, (2004). Cognitive Impact of Interactive Multimedia PhD thesis, The University of Texas School of Health Information Sciences at Houston.

Johnson, C.M., RN, PhD (2003). Effects of Information Display on the Construction of Clinical Mental Models PhD thesis, The University of Texas School of Health Information Sciences at Houston.

Richesson, R.L., MPH, PhD (2003). A Process for Achieving Comparable Data from Heterogeneous Databases PhD thesis, The University of Texas School of Health Information Sciences at Houston.

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90+ informatics in nursing essay topic ideas & examples, dr. wilson mn.

• April 20, 2023
• Essay Topics and Ideas , Samples

90+ Informatics in Nursing Essay Topic Ideas & Examples

Informatics in nursing refers to the use of technology and data to improve patient care outcomes and streamline healthcare processes. With the increasing use of electronic health records (EHRs) and other technological tools, informatics has become an essential component of nursing practice. In this post, we will provide several topic ideas and examples of informatics in nursing and why they are important.

Informatics in nursing is important for several reasons. First, it allows nurses to access patient information quickly and easily, leading to more efficient and effective care. Second, it promotes patient safety by reducing the risk of errors and ensuring that patients receive the right medications and treatments. Third, it can help to reduce healthcare costs by identifying areas for improvement and streamlining processes. Finally, it can improve the overall quality of care by providing nurses with the information they need to make informed decisions.

What You'll Learn

Tips for Students Writing an Essay on Informatics in Nursing

• Start with a clear and concise thesis statement that outlines the main points of your essay.
• Provide a brief overview of the history and evolution of informatics in nursing.
• Discuss the benefits of informatics in nursing, including improved patient outcomes and increased efficiency.
• Provide examples of informatics tools used in nursing practice, such as EHRs and clinical decision support systems.
• Discuss the challenges associated with implementing informatics in nursing practice, such as resistance to change and concerns about privacy and security.
• Analyze the impact of informatics on the nursing profession and healthcare as a whole.
• Conclude with a summary of your main points and a call to action for further research and implementation of informatics in nursing practice.

Informatics in nursing is an essential component of nursing practice that can improve patient outcomes, increase efficiency, and reduce healthcare costs. By using technology and data to inform decision-making and streamline processes, nurses can provide better care for their patients. When writing an essay on informatics in nursing, it is important to provide a clear thesis statement, discuss the benefits and challenges of informatics in nursing practice, and provide examples of informatics tools used in nursing practice.

Informatics in Nursing Essay Topics/Ideas:

• The Impact of Artificial Intelligence on Nursing Practice and Patient Outcomes
• The Use of Mobile Health Applications in Nursing Practice: Opportunities and Challenges
• The Role of Social Media in Promoting Health Literacy and Patient Engagement
• The Impact of Data Analytics on Nursing Research and Evidence-Based Practice
• The Use of Telemonitoring in Chronic Disease Management: A Nursing Perspective
• The Impact of Health Information Technology on Interprofessional Collaboration in Healthcare
• The Use of Patient Portals in Nursing Practice: Promoting Patient-Centered Care
• The Role of Informatics in Nursing Education: Preparing Future Nurses for the Digital Age
• The Impact of Informatics on Nursing Documentation and Workflow
• The Use of Virtual Reality in Nursing Education and Training
• The Role of Nursing Informaticians in Healthcare System Development and Implementation
• The Impact of Informatics on Nursing Leadership and Management
• The Use of Clinical Decision Support Systems in Nursing: Improving Patient Outcomes
• The Impact of Wearable Technology on Nursing Practice and Patient Care
• The Role of Nursing Informatics in Promoting Health Equity and Addressing Healthcare Disparities
• The Use of Artificial Intelligence in Nursing Education and Training
• The Impact of Informatics on Patient Safety and Quality of Care in Nursing Practice
• The Use of Robotics in Nursing Practice: Opportunities and Challenges
• The Role of Informatics in Promoting Evidence-Based Practice in Nursing
• The Impact of Telehealth on Nursing Practice and Healthcare Delivery
• The Use of Blockchain Technology in Nursing Practice: Enhancing Security and Privacy
• The Role of Nursing Informatics in Promoting Patient-Centered Care and Shared Decision-Making
• The Impact of Informatics on Nursing Research Methodologies and Approaches
• The Use of Machine Learning in Nursing Practice: Improving Diagnosis and Treatment
• The Role of Informatics in Nursing Professional Development and Lifelong Learning
• The Impact of Informatics on Nursing Workforce Diversity and Cultural Competence
• The Use of Chatbots in Nursing Practice: Enhancing Patient Communication and Engagement
• The Role of Nursing Informatics in Addressing Ethical and Legal Issues in Healthcare
• The Impact of Informatics on Nursing Practice in Rural and Underserved Communities
• The Use of Augmented Reality in Nursing Education and Simulation Training
• The Role of Nursing Informatics in Promoting Interprofessional Education and Collaboration
• The Impact of Informatics on Nursing Practice and Patient Outcomes in Developing Countries
• The Use of Data Visualization in Nursing Practice: Enhancing Data Interpretation and Communication
• The Role of Nursing Informatics in Promoting Health Information Exchange and Interoperability
• The Impact of Informatics on Nursing Practice and Patient Outcomes in Disaster and Emergency Situations

Controversial Informatics in Nursing Essay Topics:

• The Ethics of Using Artificial Intelligence in Nursing Practice
• The Controversy Surrounding the Use of Social Media in Nursing Practice
• The Impact of Health Information Technology on Nursing Job Satisfaction and Burnout
• The Controversy Surrounding the Use of Telehealth in Nursing Practice
• The Ethics of Using Patient Data for Research and Quality Improvement Purposes
• The Controversy Surrounding the Use of Wearable Technology in Nursing Practice
• The Impact of Health Information Technology on Nursing Workforce Diversity and Inclusion
• The Controversy Surrounding the Use of Clinical Decision Support Systems in Nursing Practice
• The Ethics of Using Chatbots in Nursing Practice
• The Controversy Surrounding the Use of Blockchain Technology in Nursing Practice
• The Impact of Health Information Technology on Nursing Education and Training
• The Controversy Surrounding the Use of Augmented Reality in Nursing Education and Training
• The Ethics of Using Machine Learning in Nursing Practice
• The Impact of Health Information Technology on Nursing Professionalism
• The Controversy Surrounding the Use of Data Visualization in Nursing Practice
• The Ethics of Using Robotics in Nursing Practice
• The Controversy Surrounding the Use of Virtual Reality in Nursing Education and Training
• The Impact of Health Information Technology on Nursing Autonomy
• The Controversy Surrounding the Use of Telemonitoring in Nursing Practice
• The Ethics of Using Artificial Intelligence in Nursing Education and Training
• The Controversy Surrounding the Use of Machine Learning in Nursing Research
• The Impact of Health Information Technology on Nursing Scope of Practice
• The Controversy Surrounding the Use of Chatbots in Nursing Education and Training
• The Ethics of Using Augmented Reality in Nursing Practice
• The Controversy Surrounding the Use of Data Analytics in Nursing Research

Latest Informatics in Nursing Essay Topics to Write About:

• The Impact of Artificial Intelligence on Nursing Documentation: Opportunities and Challenges
• The Use of Electronic Health Records in Nursing Practice: Enhancing Patient Safety and Quality of Care
• The Role of Nursing Informatics in Addressing Health Disparities: A Global Perspective
• The Impact of Health Information Exchange on Interprofessional Collaboration in Healthcare
• The Use of Telehealth in Nursing Practice: Challenges and Solutions
• The Impact of Health Information Technology on Nursing Education and Training: Emerging Trends and Future Directions
• The Use of Data Analytics in Nursing Research: Opportunities and Challenges
• The Role of Nursing Informatics in Promoting Health Equity and Social Justice
• The Impact of Wearable Technology on Nursing Practice and Patient Outcomes: A Systematic Review
• The Use of Augmented Reality in Nursing Education and Training: A Scoping Review
• The Role of Nursing Informatics in Promoting Interprofessional Education and Practice
• The Impact of Health Information Technology on Nursing Workforce Development and Retention
• The Use of Clinical Decision Support Systems in Nursing Practice: Improving Clinical Outcomes and Quality of Care
• The Role of Nursing Informatics in Promoting Evidence-Based Practice: From Research to Implementation
• The Impact of Telemonitoring on Chronic Disease Management: A Nursing Perspective
• The Use of Artificial Intelligence in Nursing Education and Training: Current Trends and Future Directions
• The Role of Nursing Informatics in Promoting Health Information Privacy and Security
• The Impact of Health Information Technology on Nursing Professional Development and Lifelong Learning
• The Use of Digital Health Technologies in Nursing Practice: Opportunities and Challenges

Related Article: Importance of Nursing Informatics Essay

Informatics in Nursing Research Questions:

• How does the use of electronic health records impact nursing workflow and efficiency?
• What are the key challenges associated with implementing telehealth in nursing practice, and how can they be addressed?
• How can nursing informatics promote interprofessional collaboration and teamwork in healthcare settings?
• What is the impact of health information exchange on patient safety and care coordination in nursing practice?
• How can wearable technology be used to improve patient outcomes and quality of care in nursing practice?
• What are the ethical considerations associated with using artificial intelligence in nursing practice, and how can they be addressed?
• How can nursing informatics promote health equity and social justice in healthcare settings?
• What is the role of nursing informatics in addressing healthcare disparities and promoting health equity on a global scale?
• What are the key challenges associated with using clinical decision support systems in nursing practice, and how can they be addressed?
• What is the impact of health information technology on nursing education and training, and how can it be optimized?
• What are the key benefits and challenges associated with using telemonitoring in chronic disease management, and how can they be addressed?
• What is the role of nursing informatics in promoting evidence-based practice and improving patient outcomes?
• How can nursing informatics promote health information privacy and security in healthcare settings?
• What is the impact of health information technology on nursing job satisfaction and burnout, and how can it be addressed?
• What is the role of nursing informatics in promoting patient-centered care and shared decision-making in healthcare settings?

How can nursing informatics promote lifelong learning and professional development among nurses?

• What are the key opportunities and challenges associated with using data analytics in nursing research?
• What is the impact of augmented reality on nursing education and training, and how can it be optimized?
• What is the role of nursing informatics in promoting interprofessional education and practice in healthcare settings?
• How can digital health technologies be used to enhance nursing practice and improve patient outcomes?

FAQs Related to Informatics in Nursing:

What is informatics in nursing.

Informatics in nursing refers to the use of technology and data to improve patient care outcomes and streamline healthcare processes.

How does informatics improve nursing practice?

Informatics improves nursing practice by providing nurses with access to patient information, promoting patient safety and quality of care, and streamlining healthcare processes to increase efficiency.

What are some examples of informatics tools used in nursing practice?

Examples of informatics tools used in nursing practice include electronic health records (EHRs), clinical decision support systems, telehealth technologies, wearable devices, and data analytics software.

How does informatics impact nursing education?

Informatics impacts nursing education by preparing future nurses for the digital age, promoting lifelong learning and professional development, and enhancing nursing research methodologies and approaches.

What are the challenges associated with implementing informatics in nursing practice?

Challenges associated with implementing informatics in nursing practice include resistance to change, concerns about privacy and security, lack of informatics competencies among healthcare professionals, and the need for ongoing support and training.

How can nursing informatics promote interprofessional collaboration in healthcare?

Nursing informatics can promote interprofessional collaboration in healthcare by providing a common language and framework for data exchange, promoting shared decision-making and teamwork, and enhancing communication and coordination among healthcare professionals.

What is the role of nursing informatics in promoting evidence-based practice?

The role of nursing informatics in promoting evidence-based practice involves using data and technology to inform clinical decision-making, promoting research and quality improvement initiatives, and enhancing patient outcomes and quality of care.

How can nursing informatics promote health equity and address healthcare disparities?

Nursing informatics can promote health equity and address healthcare disparities by promoting the use of data to identify and address health inequities, enhancing cultural competence and diversity in healthcare settings, and promoting patient-centered care and shared decision-making.

What are the ethical considerations associated with using informatics in nursing practice?

Ethical considerations associated with using informatics in nursing practice include maintaining patient privacy and confidentiality, ensuring data security and integrity, avoiding bias and discrimination, and promoting informed consent and patient autonomy.

Nursing informatics can promote lifelong learning and professional development among nurses by providing ongoing education and training opportunities, promoting collaboration and knowledge-sharing among healthcare professionals, and facilitating the use of technology and data to enhance nursing practice.

Conclusion:

In conclusion, informatics in nursing is an essential component of nursing practice that can improve patient outcomes, increase efficiency, and reduce healthcare costs. It is important for nurses to be knowledgeable about informatics tools and competencies in order to provide effective and high-quality care. Nursing informatics can also promote interprofessional collaboration, evidence-based practice, health equity, and lifelong learning among nurses. By embracing informatics, nurses can enhance their practice and contribute to the advancement of healthcare.

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Dissertations / Theses on the topic 'HEALTH INFORMATION MANAGEMENT'

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Consult the top 50 dissertations / theses for your research on the topic 'HEALTH INFORMATION MANAGEMENT.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

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Browse dissertations / theses on a wide variety of disciplines and organise your bibliography correctly.

Gratton, Marie-Claude I. "The management of information technologies in health promotion, the Cancer Information Service." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/mq31287.pdf.

Bekui, A. M. "A health management information system for the district health services in Ghana." Thesis, University of Leeds, 1990. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.492369.

Atueyi, Kene Chukwu. "Implementing management information systems in the National Health Service." Thesis, Sheffield Hallam University, 1991. http://shura.shu.ac.uk/4990/.

Al, Kiyumi Raniya Humaid Matar. "A road map for health information management in Oman." Thesis, Queensland University of Technology, 2019. https://eprints.qut.edu.au/130603/9/Raniya%20Humaid%20Matar%20Al%20Kiyumi%20Thesis.pdf.

Williams, Meagan Sampogna. "Perceptions Among Women on Education for Health Information Management Career Advancement." ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/5292.

Irozuru, E. C. "Information systems in district health authorities : a strategy for management." Thesis, University of Salford, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.299129.

Rowles, Gregory Thomas. "Towards health management intelligence: a case study from South Africa." Master's thesis, University of Cape Town, 2014. http://hdl.handle.net/11427/13217.

Lin, Yu-Kai. "Health Analytics and Predictive Modeling: Four Essays on Health Informatics." Diss., The University of Arizona, 2015. http://hdl.handle.net/10150/555987.

Houston, Andrea Lynn 1954. "Knowledge integration for medical informatics: An experiment on a cancer information system." Diss., The University of Arizona, 1998. http://hdl.handle.net/10150/288868.

Jacobs, Ellen Mueller Keith J. "In search of a message to promote personal health information management." Click here for access, 2009. http://www.csm.edu/Academics/Library/Institutional_Repository.

Long, Trisha L. "Medication Information Management Practices of Older Americans." Master's thesis, School of Information and Library Science, 2007. http://hdl.handle.net/1901/391.

West, Christopher E. "Technical limitations of electronic health records in community health centers: Implications on ambulatory care quality." Diss., Search in ProQuest Dissertations & Theses. UC Only, 2010. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3398890.

Thomson, Steven Michael. "A standards-based security model for health information systems." Thesis, Nelson Mandela Metropolitan University, 2008. http://hdl.handle.net/10948/718.

Kaduruwane, Indika Ranasinghe. "An empirical investigation of health information system failure in regional Sri Lanka." Thesis, Queensland University of Technology, 2012. https://eprints.qut.edu.au/50663/1/Indika_Kaduruwane_Thesis.pdf.

Tiwari, Vikram. "Information sharing and coordinated capacity management in service delivery networks." [Bloomington, Ind.] : Indiana University, 2008. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3331249.

Mahmood, Ashrafullah Khalid. "Information Security Management of Healthcare System." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4353.

Schang, Laura. "Using information on variations to improve health system performance : from measurement to management." Thesis, London School of Economics and Political Science (University of London), 2015. http://etheses.lse.ac.uk/3196/.

Nelson, Kristin Marie B. S. RHIA. "Determining Perceived Workplace Stress and Resilience among Health Information Management Department Employees." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1363089131.

Gladwin, Jean. "An informational approach to health management in low-income countries." Thesis, University of Sheffield, 1999. http://etheses.whiterose.ac.uk/3491/.

Bain, Christopher. "Developing effective hospital management information systems: A technology ecosystem perspective." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2014. https://ro.ecu.edu.au/theses/1410.

Liu, Xia. "A requirement engineering framework for assessing health care information systems." Thesis, University of Ottawa (Canada), 2010. http://hdl.handle.net/10393/28534.

Zheng, Haoran. "Contextual Affordances of Social Media, Clinical Prosess Changes and Health Service Outcomes." FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3852.

Sirmans, Eleanor Tice. "The Role of Asymmetric Information in the U.S. Health Insurance Market." Thesis, The Florida State University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10637535.

This dissertation examines several key aspects regarding health insurance policies in the United States. The development of the United States health insurance market began in the 1920s with life insurance companies selling traditional indemnity health insurance plans and hospitals offering hospital care plans on a pre-paid basis. This market has evolved over the last century into a heavily regulated market dominated by employer-sponsored, managed-care plans. Reviews in the introduction of this dissertation include the overall market, health insurer evolution, the history of managed care operations, the progression of employer-sponsored health insurance plans and regulation specific to health insurance. Analysis of health insurance market evolution can offer a better understanding of how past developments in U.S. health care can inform and shape future policy.

The second chapter of this dissertation provides an analysis of adverse selection in the U.S. health insurance market. Adverse selection is a phenomenon inherent in insurance contracting. Using a rich, unique dataset consisting of multiple insurers, across states for the years 2013–2015, I document a correlation between coverage and risk. Results show that adverse selection is present both in the individual and group markets. Additionally, I test for the presence of adverse selection by state and by insurer. I find that factors such as the health of the state population, regulatory environment, insurer competition and insurer size are not associated with the likelihood that a state or and insurer experiences the presence of adverse selection.

The third chapter of this dissertation relates adverse selection and consumer satisfaction in health insurance plans. I exploit a dataset rich with respondent demographics and health insurance plan information to evaluate the relationship between adverse selection and health insurance plan satisfaction. I find that respondents who are more likely to have adversely selected into the health insurance plan are more satisfied with their plan. This is evidence that respondents may use private information on their risk level to choose plans to their advantage.

Smith, Kane. "A Multi-Objective Framework for Information Security Public Policy: The Case of Health Informatics." VCU Scholars Compass, 2018. https://scholarscompass.vcu.edu/etd/5320.

Odom, Stephen A. "Electronic health records| Overcoming obstacles to improve acceptance and utilization for mental health clinicians." Thesis, Capella University, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10257030.

The dynamics and progress of the integration of the electronic health record (EHR) into health-care disciplines have been described and examined using theories related to technology adoption. Previous studies have examined health-care clinician resistance to the EHR in primary care, hospital, and urgent care medical settings, but few studies have been completed that pertain specifically to behavioral health-care clinicians. The study purpose was to examine the relationships that may exist between behavioral health-care clinician perceptions of usefulness and ease of use and demographic variables on adoption of the EHR. Regression analyses were performed to test the relationship between behavioral health-care clinician personal characteristics, their perceived ease of use and usefulness of EHR, and their attitudes toward adoption of the EHR. The study utilized licensed marriage and family therapists as participants. The Physician’s Survey Questionnaire Form was adapted to the needs of this study and utilized as the survey instrument. The study was embedded within the frame of Roger’s diffusion of innovations theory and the technology acceptance model. The findings of the study suggest that older clinicians are less likely to perceive the EHR as useful in their professional practice. The results also demonstrate that behavioral health clinician perceived ease of use and usefulness of EHR is positively associated with attitude toward adoption of the EHR. The findings indicate that to improve the adoption of the EHR for behavioral health clinicians, the EHR needs to be viewed as useful. Interpretation of the results and suggestions for future research are offered.

Bacigalupo, Ruth. "The information management of health visitors : with particular reference to their public health and community development activities." Thesis, University of Sheffield, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.324436.

Ellis, Nicola T. "An information based approach to clinical audit in the UK National Health Service." Thesis, University of Central Lancashire, 1997. http://clok.uclan.ac.uk/20531/.

Ölvingson, Christina. "On development of information systems with GIS functionality in public health informatics : a requirements engineering approach /." Linköping : Univ, 2003. http://www.bibl.liu.se/liupubl/disp/disp2003/tek823s.pdf.

Peng, Cong. "A Hybrid Cloud Approach for Sharing Health Information in Chronic Disease Self-Management." Thesis, Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3632.

Thomas, Maurice A. "Evaluating Electronic Health Records Interoperability Symbiotic Relationship to Information Management Governance Security Risks." Thesis, Northcentral University, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=13808526.

A major initiative in the U.S. healthcare care industry is to establish a nationwide health information network securing the sharing of information between all involved U.S. healthcare stakeholders. However, implementing an interoperability solution is a massive, complex, and enduring effort with significant challenges such as inconsistent technology and data standards, as well as complex privacy and security issues. The purpose of this qualitative, case study is to examine the impacts of interoperability initiatives involving the U.S. government and to provide an understanding of the information governance and security risk as standards that are vendor-neutral and trustworthy. This qualitative case study was conducted using federal participants who are health information management (HIM) and health information technology (HIT) professionals working in the Washington DC metropolitan area. The participants' interview data revealed nine major themes; patient identification matching, payment claims and auditing, information sharing, data stewardship, regulatory compliance, technology enhancements, training and certification, standards optimization, and value-based care. The implication of the study's themes showed interoperability is beneficial to the healthcare industry, but there is a greater need for technology and data standardization, information governance, data stewardship, and a greater understanding of federal and state data privacy and security laws. Future recommendation for practices discussed; policy and regulatory adjustments to enhance auditing and compliance, establish a healthcare data ecosystem to improve data and information governance, and technology alternatives such as master data management and white space data. Recommendation for further research included expanding the sample population to compare other federal organizations or the United Kingdom's HIT interoperability project initiative.

Murray, Mary Gregory Coffin. "An Analysis of the Implementation of a Workflow System for Health Information Management." NSUWorks, 1999. http://nsuworks.nova.edu/gscis_etd/741.

Owusu-Asamoah, Kwasi. "Modelling an information management system for the National Health Insurance Scheme in Ghana." Thesis, Loughborough University, 2014. https://dspace.lboro.ac.uk/2134/16415.

Minnis, Richard Brian. "Development of a health management information system for the mountain gorilla (Gorilla beringei)." Diss., Mississippi State : Mississippi State University, 2006. http://sun.library.msstate.edu/ETD-db/ETD-browse/browse.

Hammar, Tora. "eMedication – improving medication management using information technology." Doctoral thesis, Linnéuniversitetet, Institutionen för medicin och optometri (MEO), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-37167.

Tyali, Sinovuyo. "An integrated management system for quality and information security in healthcare." Thesis, Nelson Mandela Metropolitan University, 2012. http://hdl.handle.net/10948/d1006670.

Scott, Vera Eileen. "A health system perspective on factors influencing the use of health information for decision-making in a district health system." University of the Western Cape, 2016. http://hdl.handle.net/11394/4907.

Eccleston, Anthony L., and n/a. "Coordinating information provision in government agencies using an integrated information management strategy." University of Canberra. Information, Language & Culture Studies, 1996. http://erl.canberra.edu.au./public/adt-AUC20060404.123006.

Johnson, Kerry Allen. "Exploration of the Canadian Health Information Management Association's capacity to provide training and development." Thesis, University of Phoenix, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3577290.

The infusion of information and communication technology (ICT) as the electronic health record (EHR) requires a significant increase in the knowledge and skills of the current Canadian health information management (HIM) workforce (Prism Economics and Analysis [Prism], 2009). However, there exists a shortfall in the capacity of the Canadian Health Information Management Association (CHIMA) to provide the required training and development to the organization’s membership (Prism, 2009). This study is an exploratory qualitative case study to examine the reasons for the CHIMA’s capacity shortfall and whether or not the use of a virtual community of practice (vCoP) might be effective to address the need. Three one-hour teleconference interviews were conducted with the CHIMA leadership. Data were analyzed using the work of Senge (1990a), Rogers (2003), and Wenger (1998) as a theoretical lens, which implies that leadership has a responsibility to provide a strategy and communication channels for organizational learning and development. The study findings provide implications for the CHIMA, its membership, and related educational stakeholder organizations to make firm determinations of their role in continuing professional education (CPE) for Canadian HIM professionals. The study is significant in its contribution to understanding the CPE challenges and opportunities resultant from the EHR implementation. Future research areas include (a) engagement of the CHIMA membership in the association, (b) awareness of Canadian HIM professionals of the changing profession (c) visibility of the Canadian HIM profession, and (d) the role of vCoPs in the Canadian HIM setting.

Harmse, Magda Susanna. "Physicians' perspectives on personal health records: a descriptive study." Thesis, Nelson Mandela Metropolitan University, 2016. http://hdl.handle.net/10948/6876.

zhang, peng. "An Empirical Study of Health Information Exchange Success Factors." FIU Digital Commons, 2017. https://digitalcommons.fiu.edu/etd/3537.

Williams, Gary L. "Exploring Management Practices of the Health Care System for Contractors." ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/4952.

Adeyeye, Adebisi. "Health care professionals' perceptions of the use of electronic medical records." Thesis, University of Phoenix, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10011612.

Price, Todd. "Patient Satisfaction Management in Office Visits and Telehealth in Health Care Technology." ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/5032.

Malone, Kathrynmay. "Menstrual Management: Strategies and Sources of Information in Adult Menstruators." University of Cincinnati / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1623166026629723.

Md-Ulang, Norhidayah. "Communication of construction health and safety information in design." Thesis, Loughborough University, 2012. https://dspace.lboro.ac.uk/2134/9817.

Andrews, Kathy M. "Best practices to establish successful mobile health service in a healthcare setting." Thesis, Pepperdine University, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10251009.

Alternative healthcare programs have been steadily flooding the health care market, with the most notable being mobile health. Mobile health, more popularly known as mHealth, is expected to generate upward of $59 billion dollars. This is astonishing, considering the mHealth market is still in its infancy as an alternative healthcare model. Still, there are over 100,000 mHealth smartphone applications and platforms on the market. The concept of offering affordable medical services that are accessible to anyone, at any time and in any place appeals to the mission and purpose of healthcare organizations. However, a large number of the studies and publications on mHealth are associated with the technologies behind mHealth and provide very little information on the practices and challenges associated with implementing mHealth, especially within a medical facility. For this reason, it was important to learn from executive health IT professionals who have successfully implemented mHealth services within the US healthcare system. Accordingly, the purpose of this study was to identify the practices used and challenges faced by CIOs in implementing mHealth technologies. The study also obtained recommendations CIOs believe are associated with successful mHealth services.

This was a qualitative study that used a phenomenology lens focused on the viewpoint of CIOs and the growing phenomenon of mHealth as a part of the U.S. healthcare system. This approach allowed the research to obtain data on the lived experiences of seven CIOs through semi-structured interviews who were identified as top experts by Becker Hospital Review publications. The analysis of their experiences revealed 13 best practices for mobile health implementation. The findings in this study aimed to identify how mHealth services could expand access to medical services by outlining key considerations and resources required for successful implementation.

Gray, C. J. "Electronic health record systems in a centralized computing services environment| critical success factors for implementation." Thesis, Robert Morris University, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3628910.

In 2009 the American Recovery and Reinvestment Act (ARRA) was signed into law. As part of ARRA, the HITECH Act set aside $29 billion in Medicare and Medicaid incentives for healthcare organizations. To collect these incentives, healthcare organizations must install an electronic health record (EHR) system and achieve meaningful use. Implementation of an EHR must be completed by 2015 in order to acquire any of the incentives available. Small medical practices consisting of one to five physicians are finding it easier to implement a cloud-based EHR system due to minimal upfront costs and no need for technical capabilities within the medical practice. This study was done using a modified Delphi technique developed by Roy Schmidt to find critical success factors for the implementation of electronic health record systems within a centralized computing services structure. For purposes of this study a centralized computing services structure was considered a cloud or cloud-based environment.

This study found that the top five critical success factors for the implementation were the following: (1) EHR Training – implementing a strong training / education process for EHR users; (2) Usability – practical application of EHR features in a real medical office setting; (3) Reliability – Specifically high levels of redundancy and system availability. If the system is down, patient safety is a risk, and that is an unacceptable norm; (4) Strong clinical representation in the project to ensure workflows, processes and education needs are met; (5) Support services such as deployment / implementation services, help desk, and online support. Of these five factors, four are actually related to usability of the system, and not necessarily strictly based on implementation. This leads us to believe that the success of an implementation is reliant upon user perception based on system usage.

Boiani, Filippo. "Blockchain Based Electronic Health Record Management For Mass Crisis Scenarios : A Feasibility Study." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254875.

Gopalakrishna-Remani, Venugopal. "Information Supply Chain System for Managing Rare Infectious Diseases." Kent State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=kent1341245050.

Davalos, Eugenia. "Competencies Required for Healthcare Information Technology to Be an Effective Strategic Business Change Partner." Thesis, Benedictine University, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=3574691.

One of the core strategies to transform the United States national healthcare system is the implementation of key technologies such as the electronic patient medical record. Such key technologies improve patient care and help the organization gain competitive advantage. With a high demand for strategic and operational change, healthcare providers are turning to their own internal Healthcare Information Technology (HIT) for integrated technology solutions (e.g., clinical systems, robotics, infrastructure) in order to reduce costs, improve patient care, and unlock new value through innovation. Due to the overreliance on advanced technology solutions for revamping the US Healthcare System, the role of internal HIT needs to evolve into that of an effective strategic business change partner. As such, the purpose of this study was to test an a priori conceptual model of five competencies that would enable HIT to be an effective strategic business change partner. An on-line survey instrument was used to collect data from hospitals across the country and the data was analyzed through quantitative methods. Results suggest that the perception of internal healthcare information technology (HIT) organizations as an effective strategic business change partner is determined by its competence as a Healthcare Strategists, Change Driver, Collaborator, Agile Leader, and Technology Service Provider.

Health Information Administration Research Guide

• How to Use this Guide
• Research health information management topics
• Research medical/disease topics
• Introduction to Research in HIA / HIM
• Evaluate health/medical information
• Get Full Text
• Search Techniques
• HIM 150 activities
• HIM150 videos

Introduction

This page will lead you to sources for finding credible information on health information management., continue below for these four (4) sections:.

• Find in-depth information in monographs (books) and find non-print material such as videos, audios, software, and multimedia .
• Find current information in magazine and journal articles and reports.
• Find federal and state rules and regulations, statutory law, and case law .

Find definitions, facts, statistics

Find in-depth information in monographs (books) and find non-print material such as videos, audios, software, and multimedia, find books and e-books with the following research databases. .

The first research database will also lead to video and audio materials.

• Bookshelf Growing collection of biomedical books that can be searched directly by typing a concept into the search box. Much of the content is accessible online. Bookshelf is provided by the U.S. National Center for Biotechnology Information (NCBI). Searches of PubMed include the material in Bookshelf.

Find current information in magazine and journal articles and reports

Search for articles & reports using the following databases or websites..

SPECIAL NOTE: Not every health database will index the key journals for health information management. Your key professional journal Journal of AHIMA and other core professional journals (for example, Joint Commission Perspectives and Hospitals and Health Networks ) may be found by searching PubMed .

• Medline Plus This link opens in a new window MedlinePlus is an online health information resource for patients and their families and friends. It is a service of the National Library of Medicine (NLM), the world's largest medical library, which is part of the National Institutes of Health (NIH). PubMed citations and abstracts include the fields of biomedicine and health, covering portions of the life sciences, behavioral sciences, chemical sciences, and bioengineering. PubMed citations often include links to the full-text article on the publishers' Web sites and/or in PubMed Central and the Bookshelf. [MEDLINE is the largest subset of PubMed. You may limit your PubMed search retrieval to MEDLINE citations by restricting your search to the MeSH controlled vocabulary or by using the Journal Categories filter called MEDLINE.]
• AHIMA publications online Web site provides access to articles and reports in "Journal of AHIMA" (including practice briefs, coding notes, plugged in, etc.) and other AHIMA publications. NOTE: Explore the "HIM Trends and Topics" tab at top
• CMS (Centers for Medicare & Medicaid Services) Web site provides statistics, reports and regulatory news (including links to rules & proposed rules in Federal Register) on Medicare, Medicaid & Child Health Insurance Programs. CMS is the federal agency that administers the Medicare, Medicaid and Child Health Insurance Programs.For regulations for different types of facilities such as Ambulatory Surgical, Home Health Agencies, etc., link to "Regulations and Guidance" and scan down to find the section "Provider Type."
• Joint Commission on Accreditation of Healthcare Organizations The Joint Commission evaluates and accredits more than 18,000 health care organizations in the United States, including hospitals, health care networks, managed care organizations, and health care organizations that provide home care, long term care, behavioral health care, laboratory, and ambulatory care services. It publishes standards, etc.

Find federal and state rules and regulations, statutory law, and case law.

Find legal information  .

To successfully find legal information, you will need to select research databases and sources appropriate for finding the legal information you need.  This means choosing a resource that provides the correct:

1. category of law ( regulatory , judicial , or statutory )

• Regulatory law = rules and regulations developed by governmental agencies and departments in order for them to carry out the laws passed by legislatures.
• Judicial law = case law, that is laws arising from decisions made in courts.
• Statutory law = laws enacted by legislatures.

2. level of government ( federal or state )

Links to these legal research tools are further below :

For Federal REGULATIONS , use the following:

• Code of Federal Regulations
• Federal Register . 
• LexisNexis Academic includes the content of both the Code of Federal Regulations and the Federal Register.  Use the "search by content type" dropdown menu to select "Federal Statutes & Regulations."
• The Centers for Medicare and Medicaid Services (CMS) website provides links to health care regulatory information published in the Federal Register and elsewhere.  On the CMS website, choose "Regulations & Guidance."

For State REGULATIONS , use the following:

• LexisNexis Academic includes the content of South Dakota Administrative Rules and South Dakota Register .  In LexisNexis use the "search by content type" dropdown menu to select "State Statutes & Regulations."
• Legislative Research Council of the South Dakota Legislature.  For rules and regulations, choose "Administrative Rules" and find rules using either the "Rules Search" or "Rules List."

For Federal CASE LAW , use:

• LexisNexis Academic . Use the "search by content type" dropdown menu to select "Federal & State Cases"

For State CASE LAW , use:

For Federal STATUTORY LAW , use: 

• LexisNexis Academic . Use the "search by content type" dropdown menu to select "Federal Statutes & Regulations." {Note: statutory laws may be found as "Public Laws" (that is, found by public law number which is a consecutive numbering system of laws during a given legislative session) or in the "U.S. Code" (that is, found in the codified laws in which laws related to a particular topic are grouped together}.

For State STATUTORY LAW , use:

• LexisNexis Academic . Use the "search by content type" dropdown menu to select "State Statutes & Regulations."
• Legislative Research Council of the South Dakota Legislature.  For statutory law, choose "Laws."
• Code of Federal Regulations (CFR) The CFR codifies (arranges numerically) the detailed rules and regulations used for carrying out the laws passed by the U. S. Congress. These regulations are devised by federal departments and agencies. So, the CFR is a comprehensive collection of all the rules and regulations in effect in the various agencies of the U.S. Government. Rules first appear in the daily publication called the Federal Register. After being finalized, they are incorporated into the CFR. Therefore, after searching the Code of Federal Regulations (CFR), search the Federal Register for any new or changed federal rules that have not yet been added to the CFR.
• Federal Register (FR) Use the Federal Register (FR) to find new federal regulations that have been proposed or that have been published in final form in the Federal Register but have not yet been added to the Code of Federal Regulations. Rules and regulations are devised by federal departments and agencies to carry out the laws passed by the U.S. Congress. FR provides the text of proposed, final, interim, and temporary rules and is published daily, Monday - Friday. Provided by the U.S. Government Printing Office.
• Legislative Research Council (South Dakota) The Legislative Research Council of the South Dakota Legislature provides administrative rules and statutory laws. For rules and regulations, choose "Administrative Rules" and find rules using either the "Rules Search" or "Rules List." For statutory law, choose "Laws."

Statistics and Other Information about Hospitals and Physicians

The following sources provide a range of factual information and statistics about hospitals and physicians

• Agency for Healthcare Research and Quality (AHRQ) Has a "Research Tools & Data" section that includes MEPS (Medical Expenditure Panel Survey), HCUP (Healthcare Cost & Utilization Project), HCUPnet ( Interactive Tool for Hospital Statistics), HIV & AIDS Costs & Use, and more. HCUPnet is a tool for identifying, tracking, analyzing, and comparing statistics on hospitals at the national, regional, and State level. AHRQ is part of the U.S. Department of Health and Human Services.
• AMA Doctor Finder This directory contains information on virtually every licensed physician in the United States (and its possessions), including more than 650,000 doctors of medicine (MD) and doctors of osteopathy or osteopathic medicine (DO). All physician credential data have been verified for accuracy and authenticated by accrediting agencies, medical schools, residency training programs, licensing and certifying boards, and other data sources.
• American Board of Medical Specialties This directory may be used to verify the certification status of any physician certified by one or more of the 24 member boards of the American Board of Medical Specialties (ABMS). Click on "Is Your Doctor Certified."
• HRET: Health Research & Educational Trust Provides information about hospitals, health care agencies, quality/cost/disparities, data analysis, payment reform, and much more.
• National Center for Health Statistics (NCHS) NCHS is the primary Federal organization responsible for the collection, analyses, and dissemination of health statistics. The intent of this site is to provide users access to the health information that NCHS produces.

PRINT SOURCES IN LIBRARY:

• AHA Hospital Statistics Call Number: RA981.A2 A6234 Publication Date: annual This is a compilation of data compiled from AHA Annual Survey of Hospitals and is a print book in the Mundt Library. Note: Distance students may request the Library to copy and email specific sections.
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• Last Updated: Feb 22, 2024 3:22 PM
• URL: https://library.dsu.edu/him