• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

使用人工智能记录护理:商业抄写工具的比较分析

Documenting Care with AI: A Comparative Analysis of Commercial Scribe Tools.

作者信息

Arko Iv Leopold, Hudelson Carly, Kumar Jaya, Badlani Sameer, Stoffel Michelle, Markowitz Rebecca, Melton Genevieve B

机构信息

University of Minnesota, Minneapolis, MN, USA.

M Health Fairview Systems, Minneapolis, MN, USA.

出版信息

Stud Health Technol Inform. 2025 Aug 7;329:337-341. doi: 10.3233/SHTI250857.

DOI:10.3233/SHTI250857
PMID:40775875
Abstract

Clinical documentation is a leading cause of clinician burnout. Artificial intelligence (AI) scribes use ambient generative AI to create text summaries of clinical encounters. While several commercial AI scribe tools are available, there are limited comparisons of the performance of these tools. This study evaluated the quality and accuracy of notes generated by four commercially available AI scribes using two simulated internal medicine and surgical patient encounters. AI-generated notes were compared to transcripts, with errors quantified and quality assessed using the Physician Documentation Quality Instrument (PDQI), evaluating succinctness, usefulness, and comprehensiveness. Omission errors constituted 71% of the total errors, addition errors made up 19.4%, and incorrect facts accounted for 6.5% of the errors identified among vendors. Vendor A had the lowest error rate (12.2%) and balanced note length and quality. Vendor C, with the highest omission error rate (24.4%), produced the shortest notes, while Vendor B generated the longest notes with the highest addition error rate (7.3%). PDQI-9 scores ranged from 35.5 to 39.5, with Vendor C & D achieving the highest score. These findings emphasize the need for ongoing AI tool oversight and highlight future research opportunities, including the impact of AI scribes on communication, safety, and documentation quality.

摘要

临床文档记录是导致临床医生职业倦怠的主要原因。人工智能(AI)抄写员使用环境生成式人工智能来创建临床会诊的文本摘要。虽然有几种商业AI抄写员工具可供使用,但对这些工具性能的比较却很有限。本研究使用两次模拟的内科和外科患者会诊评估了四种商用AI抄写员生成的记录的质量和准确性。将AI生成的记录与抄本进行比较,使用医生文档质量工具(PDQI)对错误进行量化并评估质量,评估简洁性、有用性和全面性。遗漏错误占总错误的71%,添加错误占19.4%,错误事实占供应商中识别出的错误的6.5%。供应商A的错误率最低(12.2%),且记录长度和质量平衡。供应商C的遗漏错误率最高(24.4%),生成的记录最短,而供应商B生成的记录最长,添加错误率最高(7.3%)。PDQI-9评分范围为35.5至39.5,供应商C和D得分最高。这些发现强调了对AI工具进行持续监督的必要性,并突出了未来的研究机会,包括AI抄写员对沟通、安全和文档质量的影响。

相似文献

1
Documenting Care with AI: A Comparative Analysis of Commercial Scribe Tools.使用人工智能记录护理:商业抄写工具的比较分析
Stud Health Technol Inform. 2025 Aug 7;329:337-341. doi: 10.3233/SHTI250857.
2
Evaluating the Usability, Technical Performance, and Accuracy of Artificial Intelligence Scribes for Primary Care: Competitive Analysis.评估用于初级保健的人工智能抄写员的可用性、技术性能和准确性:竞争分析
JMIR Hum Factors. 2025 Jul 23;12:e71434. doi: 10.2196/71434.
3
AI Scribes in Health Care: Balancing Transformative Potential With Responsible Integration.医疗保健领域的人工智能抄写员:平衡变革潜力与负责任的整合
JMIR Med Inform. 2025 Aug 1;13:e80898. doi: 10.2196/80898.
4
Physician Perspectives on Ambient AI Scribes.医生对环境人工智能抄写员的看法。
JAMA Netw Open. 2025 Mar 3;8(3):e251904. doi: 10.1001/jamanetworkopen.2025.1904.
5
Evaluating the performance of artificial intelligence-based speech recognition for clinical documentation: a systematic review.评估基于人工智能的语音识别在临床文档记录中的性能:一项系统综述。
BMC Med Inform Decis Mak. 2025 Jul 1;25(1):236. doi: 10.1186/s12911-025-03061-0.
6
Assessing the Efficacy and Clinical Utility of Artificial Intelligence Scribes in Urology.评估人工智能抄写员在泌尿外科的疗效和临床实用性。
Urology. 2025 Feb;196:12-17. doi: 10.1016/j.urology.2024.11.061. Epub 2024 Nov 30.
7
Impact of using an AI scribe on clinical documentation and clinician-patient interactions in allied health private practice: perspectives of clinicians and patients.人工智能抄写员对联合健康私人诊所临床文档记录及临床医生与患者互动的影响:临床医生和患者的观点
Musculoskelet Sci Pract. 2025 Apr 19;78:103333. doi: 10.1016/j.msksp.2025.103333.
8
A Randomized-Clinical Trial of Two Ambient Artificial Intelligence Scribes: Measuring Documentation Efficiency and Physician Burnout.两种环境人工智能抄写员的随机临床试验:衡量文档记录效率和医生职业倦怠。
medRxiv. 2025 Jul 11:2025.07.10.25331333. doi: 10.1101/2025.07.10.25331333.
9
Informed Consent for Ambient Documentation Using Generative AI in Ambulatory Care.门诊护理中使用生成式人工智能进行环境记录的知情同意书。
JAMA Netw Open. 2025 Jul 1;8(7):e2522400. doi: 10.1001/jamanetworkopen.2025.22400.
10
Using ChatGPT-4 to Create Structured Medical Notes From Audio Recordings of Physician-Patient Encounters: Comparative Study.利用 ChatGPT-4 从医患对话的音频记录中创建结构化的医疗记录:比较研究。
J Med Internet Res. 2024 Apr 22;26:e54419. doi: 10.2196/54419.