This paper is in the following e-collection/theme issue:

Adoption and Change Management of eHealth Systems (712) Clinical Informatics (1022) Clinical Information and Decision Making (1407) Electronic Health Records (1053)
Factors Associated With Adoption of the Electronic Health Record System Among Primary Care Physicians

Factors Associated With Adoption of the Electronic Health Record System Among Primary Care Physicians

Factors Associated With Adoption of the Electronic Health Record System Among Primary Care Physicians

Authors of this article:

Clement SK Cheung1 ;   Ellen LH Tong1 ;   Ngai Tseung Cheung1 ;   Wai Man Chan2 ;   Harry HX Wang2, 3 Author Orcid Image ;   Mandy WM Kwan2 ;   Carmen KM Fan2 ;   Kirin QL Liu2 ;   Martin CS Wong2
Article Authors Cited by (19) Tweetations Metrics

Journals

  1. Kruse C, DeShazo J, Kim F, Fulton L. Factors Associated With Adoption of Health Information Technology: A Conceptual Model Based on a Systematic Review. JMIR Medical Informatics 2014;2(1):e9 View
  2. Kawaguchi H, Koike S, Ohe K. Facility and Regional Factors Associated With the New Adoption of Electronic Medical Records in Japan: Nationwide Longitudinal Observational Study. JMIR Medical Informatics 2019;7(2):e14026 View
  3. Djalali S, Ursprung N, Rosemann T, Senn O, Tandjung R. Undirected health IT implementation in ambulatory care favors paper-based workarounds and limits health data exchange. International Journal of Medical Informatics 2015;84(11):920 View
  4. Kruse C, Kothman K, Anerobi K, Abanaka L. Adoption Factors of the Electronic Health Record: A Systematic Review. JMIR Medical Informatics 2016;4(2):e19 View
  5. Wong M, Huang J, Chan P, Lok V, Leung C, Wang J, Cheung C, Wong W, Cheung N, Ho C, Yeoh E. The Perceptions of and Factors Associated With the Adoption of the Electronic Health Record Sharing System Among Patients and Physicians: Cross-Sectional Survey. JMIR Medical Informatics 2020;8(5):e17452 View
  6. Installé A, Van den Bosch T, De Moor B, Timmerman D. Clinical Data Miner: An Electronic Case Report Form System With Integrated Data Preprocessing and Machine-Learning Libraries Supporting Clinical Diagnostic Model Research. JMIR Medical Informatics 2014;2(2):e28 View
  7. Fontainha E, Martins J, Vasconcelos A. Exploring the Determinants of PAS, EDMS, and PACS Adoption in European Hospitals. Procedia Technology 2014;16:1502 View
  8. Paré G, Raymond L, de Guinea A, Poba-Nzaou P, Trudel M, Marsan J, Micheneau T. Barriers to organizational adoption of EMR systems in family physician practices: A mixed-methods study in Canada. International Journal of Medical Informatics 2014;83(8):548 View
  9. Mondal P, Lim H, OHTN Cohort Study Team . The Effect of MSM and CD4+ Count on the Development of Cancer AIDS (AIDS-defining Cancer) and Non-cancer AIDS in the HAART Era. Current HIV Research 2019;16(4):288 View
  10. Tilahun B, Fritz F. Comprehensive Evaluation of Electronic Medical Record System Use and User Satisfaction at Five Low-Resource Setting Hospitals in Ethiopia. JMIR Medical Informatics 2015;3(2):e22 View
  11. Vázquez Martínez V, Ortega Padrón M. Uso de las tecnologías de la información y la comunicación en médicos de atención primaria. Atención Familiar 2015;23(1) View
  12. Kern R, Haase R, Eisele J, Thomas K, Ziemssen T. Designing an Electronic Patient Management System for Multiple Sclerosis: Building a Next Generation Multiple Sclerosis Documentation System. interactive Journal of Medical Research 2016;5(1):e2 View
  13. Moosavinasab S, Sezgin E, Sun H, Hoffman J, Huang Y, Lin S. DeepSuggest: Using Neural Networks to Suggest Related Keywords for a Comprehensive Search of Clinical Notes. ACI Open 2021;05(01):e1 View
  14. Rumball-Smith J, Ross K, Bates D. Late adopters of the electronic health record should move now. BMJ Quality & Safety 2020;29(3):238 View
  15. Tummers J, Tekinerdogan B, Tobi H, Catal C, Schalk B. Obstacles and features of health information systems: A systematic literature review. Computers in Biology and Medicine 2021;137:104785 View
  16. Yong See Q. Attitudes and Perceptions of General Practitioners towards the National Electronic Health Record (NEHR) in Singapore. European Medical Journal 2020:86 View
  17. Owens L, Wilda J, Hahn P, Koehler T, Fletcher J. The association between use of ambient voice technology documentation during primary care patient encounters, documentation burden, and provider burnout. Family Practice 2024;41(2):86 View
  18. Sokolov V, Kabanov P, Stepanenko A, Petrachkov S, Gusev M, Yakimov D. Medical information of technologies and electronic medical documentation. The problematic aspects of their implementation in everyday clinical work. Bulletin of the Russian Military Medical Academy 2017;19(2):240 View

Books/Policy Documents

  1. Sezgin E, Yildirim S, Yildirim S. Current and Emerging mHealth Technologies. View