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

Usability of Apps and User Perceptions of mHealth (892) Adoption and Change Management of eHealth Systems (670)

Published on in Vol 8, No 2 (2020): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15935, first published .
Social, Organizational, and Technological Factors Impacting Clinicians’ Adoption of Mobile Health Tools: Systematic Literature Review

Social, Organizational, and Technological Factors Impacting Clinicians’ Adoption of Mobile Health Tools: Systematic Literature Review

Social, Organizational, and Technological Factors Impacting Clinicians’ Adoption of Mobile Health Tools: Systematic Literature Review

Authors of this article:

Christine Jacob1, 2 Author Orcid Image ;   Antonio Sanchez-Vazquez3 Author Orcid Image ;   Chris Ivory3 Author Orcid Image
Article Authors Cited by (131) Tweetations (159) Metrics

Journals

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  114. Groos S, Linn A, Kuiper J, van Schoor N, van der Velde N, van Weert J. Combining user-centered design and behavioral theory to enhance health technologies: A personas-based approach for a primary-care based multifactorial falls risk assessment tool. International Journal of Medical Informatics 2024;186:105420 View
  115. Bin Naeem S, Azam M, Kamel Boulos M, Bhatti R. Leveraging the TOE Framework: Examining the Potential of Mobile Health (mHealth) to Mitigate Health Inequalities. Information 2024;15(4):176 View
  116. Zettergren L, Larsson E, Hellsten L, Kosidou K, Nielsen A. Implementing digital sexual and reproductive health care services in youth clinics: a qualitative study on perceived barriers and facilitators among midwives in Stockholm, Sweden. BMC Health Services Research 2024;24(1) View
  117. Amran M, Bilitzky A, Bar-Yishay M, Adler L. The use of medical health applications by primary care physicians in Israel: a cross-sectional study. BMC Health Services Research 2024;24(1) View
  118. Guardado S, Karampela M, Isomursu M, Grundstrom C. Use of Patient-Generated Health Data From Consumer-Grade Devices by Health Care Professionals in the Clinic: Systematic Review. Journal of Medical Internet Research 2024;26:e49320 View
  119. Pettersen S, Eide H, Berg A. The role of champions in the implementation of technology in healthcare services: a systematic mixed studies review. BMC Health Services Research 2024;24(1) View
  120. Paatela S, Kyytsönen M, Saranto K, Kinnunen U, Vehko T. Experiences of Electronic Health Records’ and Client Information Systems’ Use on a Mobile Device and Factors Associated With Work Time Savings Among Practical Nurses: Cross-Sectional Study. Journal of Medical Internet Research 2024;26:e46954 View
  121. Patrickson B, Shams L, Fouyaxis J, Strobel J, Schubert K, Musker M, Bidargaddi N. Evolving Adult ADHD Care: Preparatory Evaluation of a Prototype Digital Service Model Innovation for ADHD Care. International Journal of Environmental Research and Public Health 2024;21(5):582 View
  122. Reisberger T, Reisberger P, Copuš L, Madzík P, Falát L. The Linkage Between Digital Transformation and Organizational Culture: Novel Machine Learning Literature Review Based on Latent Dirichlet Allocation. Journal of the Knowledge Economy 2024 View
  123. Oudbier S, Souget-Ruff S, Chen B, Ziesemer K, Meij H, Smets E. Implementation barriers and facilitators of remote monitoring, remote consultation and digital care platforms through the eyes of healthcare professionals: a review of reviews. BMJ Open 2024;14(6):e075833 View
  124. Chen D, Han W, Yang Y, Pan J. Doctors’ Personal Preference and Adoption of Mobile Apps to Communicate with Patients in China: Qualitative Study. JMIR mHealth and uHealth 2024;12:e49040 View

Books/Policy Documents

  1. Hilty D, Torous J, Chan S. Virtual Mental Health Care for Rural and Underserved Settings. View
  2. Chreiman K, Subramanian M, Reilly P. Management of Chest Trauma. View
  3. Hilty D, Armstrong C, Edwards-Stewart A, Luxton D. Digital Therapeutics for Mental Health and Addiction. View
  4. Gulati A. Artificial Intelligence and Machine Learning in Healthcare. View
  5. Singh B, Sharma S, Jain A. Artificial Intelligence and Machine Learning in Healthcare. View