Published on in Vol 3, No 3 (2015): Jul-Sep

Meaningful Use of Electronic Health Records: Experiences From the Field and Future Opportunities

Meaningful Use of Electronic Health Records: Experiences From the Field and Future Opportunities

Meaningful Use of Electronic Health Records: Experiences From the Field and Future Opportunities

Journals

  1. Palojoki S, Pajunen T, Saranto K, Lehtonen L. Electronic Health Record-Related Safety Concerns: A Cross-Sectional Survey of Electronic Health Record Users. JMIR Medical Informatics 2016;4(2):e13 View
  2. DiAngi Y, Stevens L, Halpern – Felsher B, Pageler N, Lee T. Electronic health record (EHR) training program identifies a new tool to quantify the EHR time burden and improves providers’ perceived control over their workload in the EHR. JAMIA Open 2019;2(2):222 View
  3. McEvoy D, Sittig D, Hickman T, Aaron S, Ai A, Amato M, Bauer D, Fraser G, Harper J, Kennemer A, Krall M, Lehmann C, Malhotra S, Murphy D, O’Kelley B, Samal L, Schreiber R, Singh H, Thomas E, Vartian C, Westmorland J, McCoy A, Wright A. Variation in high-priority drug-drug interaction alerts across institutions and electronic health records. Journal of the American Medical Informatics Association 2016:ocw114 View
  4. Brown C, Reygate K, Slee A, Coleman J, Pontefract S, Bates D, Husband A, Watson N, Slight S. A literature review of the training offered to qualified prescribers to use electronic prescribing systems: why is it so important?. International Journal of Pharmacy Practice 2017;25(3):195 View
  5. Drago K, Sharpe J, De Lima B, Alhomod A, Eckstrom E. Safer Prescribing for Hospitalized Older Adults with an Electronic Health Records‐Based Prescribing Context. Journal of the American Geriatrics Society 2020;68(9):2123 View
  6. Wolfson A, Zhou L, Li Y, Phadke N, Chow O, Blumenthal K. Drug Reaction with Eosinophilia and Systemic Symptoms (DRESS) Syndrome Identified in the Electronic Health Record Allergy Module. The Journal of Allergy and Clinical Immunology: In Practice 2019;7(2):633 View
  7. Légat L, Van Laere S, Nyssen M, Steurbaut S, Dupont A, Cornu P. Clinical Decision Support Systems for Drug Allergy Checking: Systematic Review. Journal of Medical Internet Research 2018;20(9):e258 View
  8. Antonio M, Petrovskaya O, Lau F. Is research on patient portals attuned to health equity? A scoping review. Journal of the American Medical Informatics Association 2019;26(8-9):871 View
  9. Murphy A, Phelan H, Haslam S, Martin-Misener R, Kutcher S, Gardner D. Community pharmacists’ experiences in mental illness and addictions care: a qualitative study. Substance Abuse Treatment, Prevention, and Policy 2016;11(1) View
  10. Abbott P, Weinger M. Health information technology:Fallacies and Sober realities – Redux A homage to Bentzi Karsh and Robert Wears. Applied Ergonomics 2020;82:102973 View
  11. Alkureishi M, Lee W, Webb S, Arora V. Integrating Patient-Centered Electronic Health Record Communication Training into Resident Onboarding: Curriculum Development and Post-Implementation Survey Among Housestaff. JMIR Medical Education 2018;4(1):e1 View
  12. Hanauer D, Branford G, Greenberg G, Kileny S, Couper M, Zheng K, Choi S. Two-year longitudinal assessment of physicians’ perceptions after replacement of a longstanding homegrown electronic health record: does a J-curve of satisfaction really exist?. Journal of the American Medical Informatics Association 2017;24(e1):e157 View
  13. Shanafelt T, Dyrbye L, Sinsky C, Hasan O, Satele D, Sloan J, West C. Relationship Between Clerical Burden and Characteristics of the Electronic Environment With Physician Burnout and Professional Satisfaction. Mayo Clinic Proceedings 2016;91(7):836 View
  14. Tavares J, Oliveira T. Electronic Health Record Portal Adoption: a cross country analysis. BMC Medical Informatics and Decision Making 2017;17(1) View
  15. Lambert B, Schroeder S, Galanter W. Does Tall Man lettering prevent drug name confusion errors? Incomplete and conflicting evidence suggest need for definitive study. BMJ Quality & Safety 2016;25(4):213 View
  16. Brown C, Mulcaster H, Triffitt K, Sittig D, Ash J, Reygate K, Husband A, Bates D, Slight S. A systematic review of the types and causes of prescribing errors generated from using computerized provider order entry systems in primary and secondary care. Journal of the American Medical Informatics Association 2017;24(2):432 View
  17. Macedonia C, Johnson C, Rajapakse I. Advanced Research and Data Methods in Women's Health. Obstetrics & Gynecology 2017;129(2):249 View
  18. Seoane-Vazquez E, Rodriguez-Monguio R, Alqahtani S, Schiff G. Exploring the potential for using drug indications to prevent look-alike and sound-alike drug errors. Expert Opinion on Drug Safety 2017;16(10):1103 View
  19. Anderson C, Kaul M, Edberg D. Increasing affordance potency through process improvement: case study of a healthcare system. Journal of Information Technology Case and Application Research 2019;21(3-4):124 View
  20. Cresswell K, Sheikh A, Franklin B, Krasuska M, Nguyen H, Hinder S, Lane W, Mozaffar H, Mason K, Eason S, Potts H, Williams R. Theoretical and methodological considerations in evaluating large-scale health information technology change programmes. BMC Health Services Research 2020;20(1) View
  21. Esdar M, Hüsers J, Weiß J, Rauch J, Hübner U. Diffusion dynamics of electronic health records: A longitudinal observational study comparing data from hospitals in Germany and the United States. International Journal of Medical Informatics 2019;131:103952 View
  22. Tavares J, Goulão A, Oliveira T. Electronic Health Record Portals adoption: Empirical model based on UTAUT2. Informatics for Health and Social Care 2018;43(2):109 View
  23. Parrish, II R. Positioning a Paediatric Compounded Non-Sterile Product Electronic Repository (pCNPeRx) within the Health Information Technology Infrastructure. Pharmacy 2015;4(1):2 View
  24. Temple M, Sisk B, Krams L, Schneider J, Kirkendall E, Lehmann C. Trends in Use of Electronic Health Records in Pediatric Office Settings. The Journal of Pediatrics 2019;206:164 View
  25. Kaufman D, Sheehan B, Stetson P, Bhatt A, Field A, Patel C, Maisel J. Natural Language Processing–Enabled and Conventional Data Capture Methods for Input to Electronic Health Records: A Comparative Usability Study. JMIR Medical Informatics 2016;4(4):e35 View
  26. Xia Z, Gao W, Wei X, Peng Y, Ran H, Wu H, Liu C. Perceived Value of Electronic Medical Records in Community Health Services: A National Cross-Sectional Survey of Primary Care Workers in Mainland China. International Journal of Environmental Research and Public Health 2020;17(22):8510 View
  27. Gadhiya K, Zamora E, Saiyed S, Friedlander D, Kaelber D. Drug Alert Experience and Salience during Medical Residency at Two Healthcare Institutions. Applied Clinical Informatics 2021;12(02):355 View
  28. Powell N, Elkhalifa S, Guyer A, Garcez T, Sandoe J, Zhou L. Addressing the Challenges of Penicillin Allergy Delabeling With Electronic Health Records and Mobile Applications. The Journal of Allergy and Clinical Immunology: In Practice 2023;11(2):414 View
  29. Collins B, Lepore S, Winickoff J, Nair U, Moughan B, Bryant-Stephens T, Davey A, Taylor D, Fleece D, Godfrey M. An Office-Initiated Multilevel Intervention for Tobacco Smoke Exposure: A Randomized Trial. Pediatrics 2018;141(Supplement_1):S75 View
  30. Kesler K, Wynn M, Pugely A. Time and Clerical Burden Posed by the Current Electronic Health Record for Orthopaedic Surgeons. Journal of the American Academy of Orthopaedic Surgeons 2021 View
  31. Marcolin B, Saunders C, Aubert B. Persuasive Technologies and Social Interactions in Professional Environments: Embedded Qualitative Case Study. JMIR Formative Research 2022;6(2):e32613 View
  32. Wald J, Haque S, Rizk S, Webb J, Brown S, Ebron S, Lehmann C, Frisse M, Shorte V, Lomotan E, Dailey B, Johnson K. Enhancing Health IT Functionality for Children: The 2015 Children’s EHR Format. Pediatrics 2018;141(4) View
  33. Acholonu R, Raphael J. The Influence of the Electronic Health Record on Achieving Equity and Eliminating Health Disparities for Children. Pediatric Annals 2022;51(3) View
  34. Hou J, Zhao R, Gronsbell J, Lin Y, Bonzel C, Zeng Q, Zhang S, Beaulieu-Jones B, Weber G, Jemielita T, Wan S, Hong C, Cai T, Wen J, Ayakulangara Panickan V, Liaw K, Liao K, Cai T. Generate Analysis-Ready Data for Real-world Evidence: Tutorial for Harnessing Electronic Health Records With Advanced Informatic Technologies. Journal of Medical Internet Research 2023;25:e45662 View
  35. Westbrook J, Li L, Raban M, Baysari M, Mumford V, Prgomet M, Georgiou A, Kim T, Lake R, McCullagh C, Dalla-Pozza L, Karnon J, O'Brien T, Ambler G, Day R, Cowell C, Gazarian M, Worthington R, Lehmann C, White L, Barbaric D, Gardo A, Kelly M, Kennedy P. Stepped-wedge cluster randomised controlled trial to assess the effectiveness of an electronic medication management system to reduce medication errors, adverse drug events and average length of stay at two paediatric hospitals: a study protocol. BMJ Open 2016;6(10):e011811 View
  36. Dufendach K, Lehmann C, Spooner S, Suresh S, Chaparro J, Cheek K, Harper M, Kennedy B, Lourie E, O’Donnell H, Stevens L, Van Cain M, Wiesenthal A, Chartash D, Chan F, Krams L. Special Requirements of Electronic Health Record Systems in Pediatrics: Clinical Report. Pediatrics 2024;154(4) View

Books/Policy Documents

  1. Datta S, Saleem T, Barati M, López M, Furgala M, Vanegas D, Santucci G, Khargonekar P, McLamore E. Big Data Analytics for Internet of Things. View