Clinical Trial: Using Reinforcement Learning to Personalize Electronic Health Record Tools to Facilitate Deprescribing
Study Status: COMPLETED
Recruit Status: COMPLETED
Condition: Aging
Study Type: INTERVENTIONAL
Official Title: Using Reinforcement Learning to Personalize Electronic Health Record Tools to Facilitate Deprescribing
Brief Summary:
The overall goal of the proposed research is to refine and adapt and perform efficacy testing of a novel reinforcement learning-based approach to personalizing EHR-based tools for PCPs on deprescribing of high-risk medications for older adults.The trial will be conducted at Atrius Health, an integrated delivery network in Massachusetts, and will intervene upon primary care providers.The investigators will conduct a cluster randomized trial using reinforcement learning to adapt electronic health record (EHR) tools…
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