The use of predictive fall models for older adults receiving aged care, using routinely collected electronic health record data: a systematic review

The use of predictive fall models for older adults receiving aged care, using routinely collected electronic health record data: a systematic review

Abstract Background Falls in older adults remain a pressing health concern. With advancements in data analytics and increasing uptake of electronic health records, developing comprehensive predictive models for fall risk is now possible. We aimed to systematically identify studies involving the deve...

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Bibliographic Details
Main Authors: Karla Seaman, Kristiana Ludlow, Nasir Wabe, Laura Dodds, Joyce Siette, Amy Nguyen, Mikaela Jorgensen, Stephen R. Lord, Jacqueline C. T. Close, Libby O’Toole, Caroline Lin, Annaliese Eymael, Johanna Westbrook
Format: Article
Language:English
Published: BMC 2022-03-01
Series:BMC Geriatrics
Subjects:
Older adults
Falls
Aged care
Predictive modelling
Fall risk
Health informatics
Online Access:https://doi.org/10.1186/s12877-022-02901-2

Internet

https://doi.org/10.1186/s12877-022-02901-2

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