Published on in Vol 23, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25192, first published .
Developing and Demonstrating the Viability and Availability of the Multilevel Implementation Strategy for Syncope Optimal Care Through Engagement (MISSION) Syncope App: Evidence-Based Clinical Decision Support Tool

Developing and Demonstrating the Viability and Availability of the Multilevel Implementation Strategy for Syncope Optimal Care Through Engagement (MISSION) Syncope App: Evidence-Based Clinical Decision Support Tool

Developing and Demonstrating the Viability and Availability of the Multilevel Implementation Strategy for Syncope Optimal Care Through Engagement (MISSION) Syncope App: Evidence-Based Clinical Decision Support Tool

Journals

  1. Vandenberk B, Chew D, Prasana D, Gupta S, Exner D. Successes and challenges of artificial intelligence in cardiology. Frontiers in Digital Health 2023;5 View
  2. Wohlgemut J, Pisirir E, Kyrimi E, Stoner R, Marsh W, Perkins Z, Tai N. Methods used to evaluate usability of mobile clinical decision support systems for healthcare emergencies: a systematic review and qualitative synthesis. JAMIA Open 2023;6(3) View
  3. Yusuf H, Hillman A, Stegeman J, Cameron A, Badger S. Expanding access to veterinary clinical decision support in resource-limited settings: a scoping review of clinical decision support tools in medicine and antimicrobial stewardship. Frontiers in Veterinary Science 2024;11 View