Published on in Vol 22, No 4 (2020): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13761, first published .
Adoption of an Electronic Patient Record Sharing Pilot Project: Cross-Sectional Survey

Adoption of an Electronic Patient Record Sharing Pilot Project: Cross-Sectional Survey

Adoption of an Electronic Patient Record Sharing Pilot Project: Cross-Sectional Survey

Journals

  1. Avdagovska M, Menon D, Stafinski T. Capturing the Impact of Patient Portals Based on the Quadruple Aim and Benefits Evaluation Frameworks: Scoping Review. Journal of Medical Internet Research 2020;22(12):e24568 View
  2. Abdelhamid M. Fitness Tracker Information and Privacy Management: Empirical Study. Journal of Medical Internet Research 2021;23(11):e23059 View
  3. Huang J, Pang W, Wong Y, Mak F, Chan F, Cheung C, Wong W, Cheung N, Wong M. Factors Associated With the Acceptance of an eHealth App for Electronic Health Record Sharing System: Population-Based Study. Journal of Medical Internet Research 2022;24(12):e40370 View
  4. Park C, Cho Y, Harvey J, Arnoldo B, Levi B. Telehealth and Burn Care: From Faxes to Augmented Reality. Bioengineering 2022;9(5):211 View
  5. Niu B, Xu H, Dai Z. Check Only Once? Health Information Exchange between Competing Private Hospitals. Omega 2022;107:102556 View
  6. Sun M, Chai Q, Ng C. Managing the quality-speed tradeoff in blockchain-supported healthcare diagnostic services. Omega 2023;120:102911 View
  7. Huang J, Wong Y, Pang W, Mak F, Guan Y, Poon J, Tong E, Cheung C, Wong W, Cheung N, Ho C, Wong M. Usage of electronic health record (eHR) viewer among healthcare professionals (HCProfs): A territory-wide study of 3972 participants. International Journal of Medical Informatics 2023;177:105137 View
  8. Shrivastava U, Han B, Daneshvar Kakhki M, Tarn J. Measuring the effects of electronic government services and corrupt practices on information exchange: a comparison of public and private hospitals. Transforming Government: People, Process and Policy 2023;17(4):488 View
  9. Leung K, Ng W, Siu Y, Hau A, Lee H. Deep learning algorithms for predicting renal replacement therapy initiation in CKD patients: a retrospective cohort study. BMC Nephrology 2024;25(1) View
  10. Köse İ, Cece S, Yener S, Seyhan S, Elmas B, Rayner J, Birinci Ş, Ülgü M, Zehir E, Gündoğdu B. Electronic Health Record Adoption in Oral and Dental Health Centres in Turkey. Journal of Health Management 2024 View