Easing the burden: A pilot study evaluating AI-generated In-Basket message drafts to streamline perioperative endocrine surgical care.

IF 2.7 2区 医学 Q1 SURGERY
Surgery Pub Date : 2025-10-06 DOI:10.1016/j.surg.2025.109700
Katherine R Whitehouse, Ryan T Heslin, Alexis Desir, Rajam Raghunathan, Ana K Islam, Sarah Lallky, Priscilla Philip, Nicole Reedy, Ankeeta Mehta, Megan Parmer, Marlen V Piersall, Sarah C Oltmann, Alan P B Dackiw, Naim M Maalouf, Vivek R Sant
{"title":"Easing the burden: A pilot study evaluating AI-generated In-Basket message drafts to streamline perioperative endocrine surgical care.","authors":"Katherine R Whitehouse, Ryan T Heslin, Alexis Desir, Rajam Raghunathan, Ana K Islam, Sarah Lallky, Priscilla Philip, Nicole Reedy, Ankeeta Mehta, Megan Parmer, Marlen V Piersall, Sarah C Oltmann, Alan P B Dackiw, Naim M Maalouf, Vivek R Sant","doi":"10.1016/j.surg.2025.109700","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Artificial intelligence can generate accurate and empathetic responses to patient questions about endocrine diseases, but its ability to reduce health care provider (HCP) clinical burden remains unmeasured. We evaluated how artificial intelligence-generated draft messages impact health care provider workload in answering common perioperative endocrine surgery questions.</p><p><strong>Methods: </strong>Health care providers completed a timed survey responding to 20 randomized perioperative endocrine patient In-Basket messages, 10 with blank drafts and 10 with artificial intelligence-generated drafts using GPT-4. Participants could use some, all, or none of the provided draft. Response times were recorded, and text similarity ratio (1.0 = identical) was used to measure the extent of editing. Cognitive load was assessed using raw NASA Task Load Index, and provider satisfaction was elicited.</p><p><strong>Results: </strong>11 health care providers participated. Response time averaged 49 ± 67 seconds per question with artificial intelligence drafts vs 137 ± 115 seconds with a blank draft (P < .001). Artificial intelligence-generated drafts required minimal edits (similarity ratio 0.88 ± 0.24). Mean Task Load Index was lower with artificial intelligence drafts (3.2 ± 1.5 vs 4.4 ± 1.3, P < .001), particularly in mental (P = .02) and temporal (P < .01) demand. Frustration levels were similar (P = .49). Sixty-four percent of respondents were satisfied or extremely satisfied, and 82% wished to integrate this tool into clinical practice. Feedback highlighted the importance of personalization and its usefulness for questions with expected routine responses.</p><p><strong>Conclusion: </strong>Artificial intelligence-generated draft responses to common perioperative patient questions reduced health care provider response time and cognitive load, required minimal edits, and were associated with enhanced health care provider satisfaction and minimal frustration.</p>","PeriodicalId":22152,"journal":{"name":"Surgery","volume":" ","pages":"109700"},"PeriodicalIF":2.7000,"publicationDate":"2025-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Surgery","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.surg.2025.109700","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SURGERY","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Artificial intelligence can generate accurate and empathetic responses to patient questions about endocrine diseases, but its ability to reduce health care provider (HCP) clinical burden remains unmeasured. We evaluated how artificial intelligence-generated draft messages impact health care provider workload in answering common perioperative endocrine surgery questions.

Methods: Health care providers completed a timed survey responding to 20 randomized perioperative endocrine patient In-Basket messages, 10 with blank drafts and 10 with artificial intelligence-generated drafts using GPT-4. Participants could use some, all, or none of the provided draft. Response times were recorded, and text similarity ratio (1.0 = identical) was used to measure the extent of editing. Cognitive load was assessed using raw NASA Task Load Index, and provider satisfaction was elicited.

Results: 11 health care providers participated. Response time averaged 49 ± 67 seconds per question with artificial intelligence drafts vs 137 ± 115 seconds with a blank draft (P < .001). Artificial intelligence-generated drafts required minimal edits (similarity ratio 0.88 ± 0.24). Mean Task Load Index was lower with artificial intelligence drafts (3.2 ± 1.5 vs 4.4 ± 1.3, P < .001), particularly in mental (P = .02) and temporal (P < .01) demand. Frustration levels were similar (P = .49). Sixty-four percent of respondents were satisfied or extremely satisfied, and 82% wished to integrate this tool into clinical practice. Feedback highlighted the importance of personalization and its usefulness for questions with expected routine responses.

Conclusion: Artificial intelligence-generated draft responses to common perioperative patient questions reduced health care provider response time and cognitive load, required minimal edits, and were associated with enhanced health care provider satisfaction and minimal frustration.

减轻负担:一项评估人工智能生成的In-Basket信息草稿以简化围手术期内分泌外科护理的试点研究。
背景:人工智能可以对患者有关内分泌疾病的问题产生准确和感同身受的反应,但其减轻卫生保健提供者(HCP)临床负担的能力仍未得到衡量。我们评估了人工智能生成的草稿信息如何影响医疗保健提供者在回答常见围手术期内分泌手术问题时的工作量。方法:卫生保健提供者完成了一项定时调查,对20名随机围手术期内分泌患者的In-Basket信息进行了回应,其中10名使用空白草稿,10名使用GPT-4使用人工智能生成草稿。参与者可以使用部分、全部或不使用所提供的草稿。记录响应时间,并使用文本相似率(1.0 =相同)来衡量编辑程度。认知负荷被评估使用原始NASA任务负荷指数,和提供者满意度引发。结果:11名卫生保健提供者参与。人工智能草稿的平均回答时间为49±67秒,而空白草稿的平均回答时间为137±115秒(P < 0.001)。人工智能生成的草稿需要最少的编辑(相似比0.88±0.24)。人工智能草案的平均任务负荷指数较低(3.2±1.5 vs 4.4±1.3,P < 0.001),特别是在精神(P = 0.02)和时间(P < 0.01)需求方面。挫折程度相似(P = 0.49)。64%的受访者表示满意或非常满意,82%的受访者希望将该工具整合到临床实践中。反馈强调了个性化的重要性,以及它对预期例行答复的问题的有用性。结论:人工智能生成的围手术期患者常见问题的回复草稿减少了医疗保健提供者的响应时间和认知负荷,所需的编辑最少,并与提高医疗保健提供者满意度和减少沮丧有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Surgery
Surgery 医学-外科
CiteScore
5.40
自引率
5.30%
发文量
687
审稿时长
64 days
期刊介绍: For 66 years, Surgery has published practical, authoritative information about procedures, clinical advances, and major trends shaping general surgery. Each issue features original scientific contributions and clinical reports. Peer-reviewed articles cover topics in oncology, trauma, gastrointestinal, vascular, and transplantation surgery. The journal also publishes papers from the meetings of its sponsoring societies, the Society of University Surgeons, the Central Surgical Association, and the American Association of Endocrine Surgeons.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信