Published on in Vol 12 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48128, first published .
Effectiveness of an Emergency Department–Based Machine Learning Clinical Decision Support Tool to Prevent Outpatient Falls Among Older Adults: Protocol for a Quasi-Experimental Study

Effectiveness of an Emergency Department–Based Machine Learning Clinical Decision Support Tool to Prevent Outpatient Falls Among Older Adults: Protocol for a Quasi-Experimental Study

Effectiveness of an Emergency Department–Based Machine Learning Clinical Decision Support Tool to Prevent Outpatient Falls Among Older Adults: Protocol for a Quasi-Experimental Study

Journals

  1. Barton H, Maru A, Leaf M, Hekman D, Wiegmann D, Shah M, Patterson B. Academic Detailing as a Health Information Technology Implementation Method: Supporting the Design and Implementation of an Emergency Department–Based Clinical Decision Support Tool to Prevent Future Falls. JMIR Human Factors 2024;11:e52592 View
  2. Hekman D, Barton H, Maru A, Wills G, Cochran A, Fritsch C, Wiegmann D, Liao F, Patterson B. Dashboarding to Monitor Machine-Learning-Based Clinical Decision Support Interventions. Applied Clinical Informatics 2024;15(01):164 View
  3. Afolalu O, Akpor O, Afolalu S. A systematic review of interventions for reducing and reporting adverse events in emergency departments: Multidisciplinary approaches and technological innovations. Collegian 2025;32(1):34 View
  4. Kareemi H, Yadav K, Price C, Bobrovitz N, Meehan A, Li H, Goel G, Masood S, Grant L, Ben‐Yakov M, Michalowski W, Vaillancourt C. Artificial intelligence–based clinical decision support in the emergency department: A scoping review. Academic Emergency Medicine 2025 View