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% (n = 221 tasks) with a mean score of 2.45 over 3 (95% CI:2.34-2.56). By automating routine tasks and streamlining the documentation process, our findings highlight the significant potential of autonomous agents to mitigate the cognitive load imposed on clinicians by current EMR systems.

翻译：临床医生在临床文档记录上花费大量时间，效率低下会影响护理质量并加剧医生职业倦怠。尽管电子病历（EMR）具有诸多前景，但从纸质记录转向电子记录却与医生健康呈负相关，部分原因在于用户体验不佳、文档记录负担加重以及警报疲劳。在本研究中，我们提出Almanac Copilot，一种能够协助医生完成EMR特定任务（如信息检索和医嘱下单）的自主智能体。在EHR-QA（一个基于真实患者数据的300个常见电子健康档案查询合成评估数据集）上，Almanac Copilot取得了74%（n=221个任务）的成功任务完成率，平均得分为2.45（满分3分，95%置信区间：2.34-2.56）。通过自动化常规任务并简化文档记录流程，我们的研究结果表明，自主智能体在缓解当前EMR系统给临床医生带来的认知负荷方面具有巨大潜力。