Completed Trial: Reinforcement Learning Personalises EHR Tools for Deprescribing in Older Adults — Novel Approach to Medication Safety
247 Health News Editorial
·4 Apr 2026
·4 min read
·clinical-trialsA completed cluster randomised trial tested reinforcement learning algorithms to personalise EHR deprescribing tools for high-risk medications in older adults. The study involved 70 primary care providers and 1,249 patients, representing a novel approach to medication safety in geriatric care.
Originally reported by ClinicalTrials.gov
References
- 1.Brigham and Women's Hospital. (2024). Using Reinforcement Learning to Personalize Electronic Health Record Tools to Facilitate Deprescribing. ClinicalTrials.gov. NCT06660979. https://clinicaltrials.gov/study/NCT06660979
- 2.Kantor, E. D., Rehm, C. D., Haas, J. S., Chan, A. T., & Giovannucci, E. L. (2015). Trends in prescription drug use among adults in the United States from 1999-2012. JAMA, 314(17), 1818-1831. https://doi.org/10.1001/jama.2015.13766
- 3.Masnoon, N., Shakib, S., Kalisch-Ellett, L., & Caughey, G. E. (2017). What is polypharmacy? A systematic review of definitions. BMC Geriatrics, 17(1), 230. https://doi.org/10.1186/s12877-017-0621-2
- 4.Reeve, E., Gnjidic, D., Long, J., & Hilmer, S. (2015). A systematic review of the emerging definition of 'deprescribing' with network analysis. British Journal of Clinical Pharmacology, 80(6), 1254-1268. https://doi.org/10.1111/bcp.12732
- 5.Scott, I. A., Hilmer, S. N., Reeve, E., Potter, K., Le Couteur, D., Rigby, D., ... & Martin, J. H. (2015). Reducing inappropriate polypharmacy: the process of deprescribing. JAMA Internal Medicine, 175(5), 827-834. https://doi.org/10.1001/jamainternmed.2015.0324
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247 Health News Editorial
247 Health News is a medical intelligence platform delivering evidence-based research appraisals, clinical trial monitoring, and health technology news for healthcare professionals.
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