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

Design and Usability of Clinical Software and EHRs (268) Clinical Information and Decision Making (1407) Falls Prevention in the Elderly (69) Falls and Emergency Detection with Sensors and other Technologies (36) Decision Support for Health Professionals (1185) Geroinformatics and Electronic Clinical Information/Decision Making in Geriatrics (20) Adoption and Change Management of eHealth Systems (712) Clinical Informatics (1022) Design of Processes and Workflows (102) Focus Groups and Qualitative Research for Human Factors Research (851)

Published on in Vol 11 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52592, first published .
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

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

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

Authors of this article:

Hanna J Barton1 Author Orcid Image ;   Apoorva Maru1 Author Orcid Image ;   Margaret A Leaf2 Author Orcid Image ;   Daniel J Hekman1 Author Orcid Image ;   Douglas A Wiegmann3 Author Orcid Image ;   Manish N Shah1 Author Orcid Image ;   Brian W Patterson1, 3 Author Orcid Image
Article Authors Cited by (1) Tweetations (11) Metrics

Journals

  1. Sokołowska B, Świderski W, Smolis-Bąk E, Sokołowska E, Sadura-Sieklucka T. A machine learning approach to evaluate the impact of virtual balance/cognitive training on fall risk in older women. Frontiers in Computational Neuroscience 2024;18 View