Almanac Copilot: Towards Autonomous Electronic Health Record Navigation
CoRR(2024)
摘要
Clinicians spend large amounts of time on clinical documentation, and
inefficiencies impact quality of care and increase clinician burnout. Despite
the promise of electronic medical records (EMR), the transition from
paper-based records has been negatively associated with clinician wellness, in
part due to poor user experience, increased burden of documentation, and alert
fatigue. In this study, we present Almanac Copilot, an autonomous agent capable
of assisting clinicians with EMR-specific tasks such as information retrieval
and order placement. On EHR-QA, a synthetic evaluation dataset of 300 common
EHR queries based on real patient data, Almanac Copilot obtains a successful
task completion rate of 74
(95
documentation process, our findings highlight the significant potential of
autonomous agents to mitigate the cognitive load imposed on clinicians by
current EMR systems.
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