Health Technology/clinical-trials

Completed Trial: Reinforcement Learning Personalises EHR Tools for Deprescribing in Older Adults — Novel Approach to Medication Safety

247 Health News Editorial

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4 Apr 2026

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4 min read

·clinical-trials

A 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. 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. 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. 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. 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. 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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