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](https://asset.jmir.pub/assets/397f1aeaaa50e9c42cceab426f3e9ed1.png 480w,https://asset.jmir.pub/assets/397f1aeaaa50e9c42cceab426f3e9ed1.png 960w,https://asset.jmir.pub/assets/397f1aeaaa50e9c42cceab426f3e9ed1.png 1920w,https://asset.jmir.pub/assets/397f1aeaaa50e9c42cceab426f3e9ed1.png 2500w)
Journals
- 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