Published on in Vol 24, No 1 (2022): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29367, first published .
Early Adopters of Apple Health Records at a Large Academic Medical Center: Cross-sectional Survey of Users

Early Adopters of Apple Health Records at a Large Academic Medical Center: Cross-sectional Survey of Users

Early Adopters of Apple Health Records at a Large Academic Medical Center: Cross-sectional Survey of Users

Journals

  1. Subramanian H. A Decentralized Marketplace for Patient-Generated Health Data: Design Science Approach. Journal of Medical Internet Research 2023;25:e42743 View
  2. Alsyouf A, Lutfi A, Alsubahi N, Alhazmi F, Al-Mugheed K, Anshasi R, Alharbi N, Albugami M. The Use of a Technology Acceptance Model (TAM) to Predict Patients’ Usage of a Personal Health Record System: The Role of Security, Privacy, and Usability. International Journal of Environmental Research and Public Health 2023;20(2):1347 View
  3. Liu Y, Lu H, Chen C. Which are the vital factors of mobile personal health records applications that promote continued usage? A perspective on technology fit and social capital. DIGITAL HEALTH 2023;9:205520762311812 View
  4. Machorro-Cano I, Olmedo-Aguirre J, Alor-Hernández G, Rodríguez-Mazahua L, Sánchez-Morales L, Pérez-Castro N. Cloud-Based Platforms for Health Monitoring: A Review. Informatics 2023;11(1):2 View
  5. Wang T, Wang W, Feng J, Fan X, Guo J, Lei J. A novel user-generated content-driven and Kano model focused framework to explore the impact mechanism of continuance intention to use mobile APPs. Computers in Human Behavior 2024;157:108252 View
  6. van Kessel R, Ranganathan S, Anderson M, McMillan B, Mossialos E. Exploring potential drivers of patient engagement with their health data through digital platforms: A scoping review. International Journal of Medical Informatics 2024;189:105513 View