Published on in Vol 8, No 8 (2019): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13151, first published .
Evaluation of a Health Information Technology–Enabled Collective Intelligence Platform to Improve Diagnosis in Primary Care and Urgent Care Settings: Protocol for a Pragmatic Randomized Controlled Trial

Evaluation of a Health Information Technology–Enabled Collective Intelligence Platform to Improve Diagnosis in Primary Care and Urgent Care Settings: Protocol for a Pragmatic Randomized Controlled Trial

Evaluation of a Health Information Technology–Enabled Collective Intelligence Platform to Improve Diagnosis in Primary Care and Urgent Care Settings: Protocol for a Pragmatic Randomized Controlled Trial

Journals

  1. Demoly P, Demoly M, Bourrain J. AdviceMedica, une collaboration intelligente au service des patients. Revue Française d'Allergologie 2020;60(1):24 View
  2. Khoong E, Fontil V, Rivadeneira N, Hoskote M, Nundy S, Lyles C, Sarkar U. Impact of digitally acquired peer diagnostic input on diagnostic confidence in outpatient cases: A pragmatic randomized trial. Journal of the American Medical Informatics Association 2021;28(3):632 View
  3. Rogers J, Lee J, Zhou Z, Cheung Y, Hripcsak G, Weng C. Contemporary use of real-world data for clinical trial conduct in the United States: a scoping review. Journal of the American Medical Informatics Association 2021;28(1):144 View
  4. Ronzio L, Campagner A, Cabitza F, Gensini G. Unity Is Intelligence: A Collective Intelligence Experiment on ECG Reading to Improve Diagnostic Performance in Cardiology. Journal of Intelligence 2021;9(2):17 View
  5. Enayati M, Sir M, Zhang X, Parker S, Duffy E, Singh H, Mahajan P, Pasupathy K. Monitoring Diagnostic Safety Risks in Emergency Departments: Protocol for a Machine Learning Study. JMIR Research Protocols 2021;10(6):e24642 View