Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51003, first published .
Use of Epic Electronic Health Record System for Health Care Research: Scoping Review

Use of Epic Electronic Health Record System for Health Care Research: Scoping Review

Use of Epic Electronic Health Record System for Health Care Research: Scoping Review

Journals

  1. Nielsen V, Song G, Rocchio C, Zambarano B, Klompas M, Chen T. Electronic Health Records Versus Survey Small Area Estimates for Public Health Surveillance. American Journal of Preventive Medicine 2024;67(1):155 View
  2. Ibrahim R, Pham H, Ganatra S, Javed Z, Nasir K, Al-Kindi S. Social Phenotyping for Cardiovascular Risk Stratification in Electronic Health Registries. Current Atherosclerosis Reports 2024;26(9):485 View
  3. Shung D, Chan C, You K, Nakamura S, Saarinen T, Zheng N, Simonov M, Li D, Tsay C, Kawamura Y, Shen M, Hsiao A, Sekhon J, Laine L. Validation of an Electronic Health Record–Based Machine Learning Model Compared With Clinical Risk Scores for Gastrointestinal Bleeding. Gastroenterology 2024;167(6):1198 View
  4. Serna M, Sadang K, Vollbrecht H, Yoon C, Fiskio J, Lakin J, Dalal A, Schnipper J. Identification of Hospitalized Patients Who May Benefit from a Serious Illness Conversation Using the Readmission Risk Score Combined with the Surprise Question. The Joint Commission Journal on Quality and Patient Safety 2024;50(12):842 View
  5. Gao X, He P, Zhou Y, Qin X. Artificial Intelligence Applications in Smart Healthcare: A Survey. Future Internet 2024;16(9):308 View
  6. Serna M, Yoon C, Fiskio J, Lakin J, Dalal A, Schnipper J. Using implementation science to encourage Serious Illness Conversations on general medicine inpatient services: An interrupted time series. Journal of Hospital Medicine 2024 View
  7. Weng P, Karl J, Patel H, Allen A, Rosdahl J, Schuman S. Primary care telehealth visits are associated with earlier eye care in diabetic patients with high socioeconomic vulnerability. AJO International 2024;1(4):100077 View
  8. Goodson J, Shahbazi S. The national ambulatory medical care survey (NAMCS) at fifty: Past and future. Healthcare 2024;12(4):100754 View
  9. Hunter M, Singareddy C, Mundt K. Framing diagnostic error: an epidemiological perspective. Frontiers in Public Health 2024;12 View
  10. Kulyk A, Dahmer J, Gramlich L. Quality improvement for parenteral nutrition in hospital: Applying a gap analysis to an electronic health record to review parenteral nutrition processing. Nutrition in Clinical Practice 2024 View
  11. Naved B, Luo Y. Contrasting rule and machine learning based digital self triage systems in the USA. npj Digital Medicine 2024;7(1) View
  12. Li A, Noe M, Wafae B, Gelfand J. Validity of International Classification of Diseases, Tenth Revision Codes for Identifying Patients with Palmoplantar Pustulosis: A Retrospective Cohort Study. Journal of Investigative Dermatology 2024 View
  13. Olaker V, Fry S, Terebuh P, Davis P, Tisch D, Xu R, Miller M, Dorney I, Palchuk M, Kaelber D. With big data comes big responsibility: Strategies for utilizing aggregated, standardized, de‐identified electronic health record data for research. Clinical and Translational Science 2025;18(1) View
  14. Vernon-Platt T. Enhanced Recovery After Surgery Pathway: Addressing Facilitators and Barriers in Quality Improvement. The Journal for Nurse Practitioners 2025;21(2):105293 View
  15. Petit P, Vuillerme N. Leveraging Administrative Health Databases to Address Health Challenges in Farming Populations: Scoping Review and Bibliometric Analysis (1975-2024). JMIR Public Health and Surveillance 2025;11:e62939 View
  16. Hazra S, Bora K. Capitalization of Digital Healthcare: The Cornerstone of Emerging Medical Practices. Intelligent Pharmacy 2025 View

Books/Policy Documents

  1. Boland M. Health Analytics with R. View