人工智能辅助临床记录能否减轻医生的行政负担?

IF 4.3 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Journal of General Internal Medicine Pub Date : 2024-11-01 Epub Date: 2024-06-27 DOI:10.1007/s11606-024-08870-z
Henry Bundy, Jay Gerhart, Sally Baek, Crystal Danielle Connor, McKenzie Isreal, Ajay Dharod, Casey Stephens, Tsai-Ling Liu, Timothy Hetherington, Jeffery Cleveland
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引用次数: 0

摘要

背景:人工智能辅助临床文档的倡导者认为,这种新兴技术可以减轻医生的行政负担,从而减轻认知负担并防止倦怠。探索医生使用自动化文档的体验对于评估这些说法至关重要:目的:评估医生使用 DAX Copilot (DAXC) 的体验:设计:2023 年 8 月和 9 月,对 DAXC 的医生用户进行了半结构化访谈:从116名全科医生中选择了12名受访者,他们受雇于一个多站点的学术学习型医疗系统:在完成全部 12 个访谈后,由三名研究人员独立对记录誊本进行分析和编码。然后召开协调会,将三份分析报告合并为一份摘要,删除多余的编码,并将研究结果归类为主题:对于大多数受访者来说,DAXC 减少了记录会诊所花费的时间,减轻了在有时间做笔记之前必须保留重要临床细节的焦虑。DAXC 还能让医生在就诊时更加投入,从而使医患关系更加融洽。然而,一些医生在权衡这些好处的同时,也感到不安,因为如果强制使用 DAXC,受访者可能会被要求看更多的病人。医生们还注意到,该工具偶尔会想象或错误地对病人进行性别划分,提供未经请求的不恰当诊断,以及在转录时出错关键细节。少数几位对生成技术不太热衷的医生将自己描绘成习惯的产物,他们已经形成了长期的工作流程和特定的记录方法,DAXC 既无法改进也无法复制:受访医生认为,人工智能驱动的自动临床文档有可能大大减轻与特定类型的医患会面相关的管理负担。本文指出,解决这一新兴技术的成长之痛可能会使其在临床实践中得到更广泛的应用。
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Can the Administrative Loads of Physicians be Alleviated by AI-Facilitated Clinical Documentation?

Background: Champions of AI-facilitated clinical documentation have suggested that the emergent technology may decrease the administrative loads of physicians, thereby reducing cognitive burden and forestalling burnout. Explorations of physicians' experiences with automated documentation are critical in evaluating these claims.

Objective: To evaluate physicians' experiences with DAX Copilot (DAXC), a generative AI-facilitated clinical documentation tool.

Design: Semi-structured interviews were conducted in August and September of 2023 with physician-users of DAXC.

Participants: A purposive sample of 12 interviewees, selected from 116 primary care physicians, employed at a multi-site academic learning health system.

Approach: After completing all 12 interviews, three study personnel independently analyzed and coded the transcripts. Reconciliation sessions were then held to merge the three analyses into one summary, eliminating redundant codes, and grouping findings into themes.

Key results: For a majority of interviewees, DAXC reduced the amount of time spent documenting encounters, and alleviated anxieties of having to retain important clinical details until there was time to make notes. DAXC also allowed physicians to be more engaged during appointments, resulting in more personable provider-patient encounters. However, some physicians weighed these benefits against an uneasy feeling that interviewees might be asked to see more patients if DAXC was mandated. Physicians also noted that the tool would occasionally imagine or misgender patients, offer unsolicited and inappropriate diagnoses, and mistake critical details in transcription. The few physicians less enthusiastic about the generative technology portrayed themselves as creatures of habit who had cultivated long-standing workflows and particular notation practices that DAXC could neither improve upon nor reproduce.

Conclusions: According to physician interviewees, automated AI-driven clinical documentation has the potential to significantly reduce the administrative burden associated with particular types of provider-patient encounters. Addressing the growing pains of the incipient technology, identified here, may allow for a broader applicability for clinical practice.

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来源期刊
Journal of General Internal Medicine
Journal of General Internal Medicine 医学-医学:内科
CiteScore
7.70
自引率
5.30%
发文量
749
审稿时长
3-6 weeks
期刊介绍: The Journal of General Internal Medicine is the official journal of the Society of General Internal Medicine. It promotes improved patient care, research, and education in primary care, general internal medicine, and hospital medicine. Its articles focus on topics such as clinical medicine, epidemiology, prevention, health care delivery, curriculum development, and numerous other non-traditional themes, in addition to classic clinical research on problems in internal medicine.
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