Jasmine Balloch, Shankar Sridharan, Geralyn Oldham, Jo Wray, Paul Gough, Robert Robinson, Neil J Sebire, Saleh Khalil, Elham Asgari, Christopher Tan, Andrew Taylor, Dominic Pimenta
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引用次数: 0
摘要
背景：电子健康记录（EHR）增加了临床医生的工作量。环境人工智能（AI）工具提供了潜在的解决方案，旨在简化临床文档并减轻医疗服务提供者的认知压力：评估环境人工智能工具在提高问诊体验和完成临床文档方面的临床实用性：方法：模拟演员和临床医生进行门诊会诊，将人工智能工具与标准电子病历做法进行比较。文件记录由谢菲尔德信函评估工具（SAIL）进行评估。临床医师的经验则通过问卷调查和 NASA 任务负荷指数来衡量：结果：人工智能生成的文档获得了更高的 SAIL 分数，会诊时间平均缩短了 26.3%，且不会影响与患者的互动时间。临床医生表示，他们的就诊体验得到了改善，任务负荷也有所减轻：结论：人工智能工具大大提高了模拟会诊的文档质量和操作效率。临床医生认识到该工具在改进记录流程方面的潜力，这表明它有望融入医疗实践。
Use of an ambient artificial intelligence tool to improve quality of clinical documentation.
Background: Electronic health records (EHRs) have contributed to increased workloads for clinicians. Ambient artificial intelligence (AI) tools offer potential solutions, aiming to streamline clinical documentation and alleviate cognitive strain on healthcare providers.
Objective: To assess the clinical utility of an ambient AI tool in enhancing consultation experience and the completion of clinical documentation.
Methods: Outpatient consultations were simulated with actors and clinicians, comparing the AI tool against standard EHR practices. Documentation was assessed by the Sheffield Assessment Instrument for Letters (SAIL). Clinician experience was measured through questionnaires and the NASA Task Load Index.
Results: AI-produced documentation achieved higher SAIL scores, with consultations 26.3% shorter on average, without impacting patient interaction time. Clinicians reported an enhanced experience and reduced task load.
Conclusions: The AI tool significantly improved documentation quality and operational efficiency in simulated consultations. Clinicians recognised its potential to improve note-taking processes, indicating promise for integration into healthcare practices.
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