人工智能作为创建患者就诊摘要的工具:勃起功能障碍诊所的范围审查和实施指南。

IF 2.5 2区 医学 Q2 UROLOGY & NEPHROLOGY
Supanut Lumbiganon, Elia Abou Chawareb, Muhammed A Moukhtar Hammad, Babak Azad, Dillan Shah, Faysal A Yafi
{"title":"人工智能作为创建患者就诊摘要的工具:勃起功能障碍诊所的范围审查和实施指南。","authors":"Supanut Lumbiganon, Elia Abou Chawareb, Muhammed A Moukhtar Hammad, Babak Azad, Dillan Shah, Faysal A Yafi","doi":"10.1007/s11934-024-01237-1","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose of review: </strong>In modern healthcare, the integration of artificial intelligence (AI) has revolutionized clinical practices, particularly in data management and patient visit summary creation. Manual creation of patient summary is repetitive, time-consuming, prone to errors, and increases clinicians' workload. AI, through voice recognition and Natural Language Processing (NLP), can automate this task more accurately and efficiently. Erectile dysfunction (ED) clinics, which deal with specific pattern of conditions together with an involvement of broader systemic issues, can greatly benefit from AI-driven patient summary. This scoping review examined the evidence on AI-generated patient summary and evaluated their implementation in ED clinics.</p><p><strong>Recent findings: </strong>A total of 381 articles were initially identified, 11 studies were included for the analysis. These studies showcased various methodologies, such as AI-assisted clinical notes and NLP algorithms. Most studies have demonstrated the ability of AI to be used in real life clinical scenarios. Major electronic health record platforms are also integrating AI to their system. However, to date, no studies have specifically addressed AI for patient summary creation in ED clinics.</p>","PeriodicalId":11112,"journal":{"name":"Current Urology Reports","volume":"26 1","pages":"20"},"PeriodicalIF":2.5000,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial Intelligence as a Tool for Creating Patient Visit Summary: A Scoping Review and Guide to Implementation in an Erectile Dysfunction Clinic.\",\"authors\":\"Supanut Lumbiganon, Elia Abou Chawareb, Muhammed A Moukhtar Hammad, Babak Azad, Dillan Shah, Faysal A Yafi\",\"doi\":\"10.1007/s11934-024-01237-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose of review: </strong>In modern healthcare, the integration of artificial intelligence (AI) has revolutionized clinical practices, particularly in data management and patient visit summary creation. Manual creation of patient summary is repetitive, time-consuming, prone to errors, and increases clinicians' workload. AI, through voice recognition and Natural Language Processing (NLP), can automate this task more accurately and efficiently. Erectile dysfunction (ED) clinics, which deal with specific pattern of conditions together with an involvement of broader systemic issues, can greatly benefit from AI-driven patient summary. This scoping review examined the evidence on AI-generated patient summary and evaluated their implementation in ED clinics.</p><p><strong>Recent findings: </strong>A total of 381 articles were initially identified, 11 studies were included for the analysis. These studies showcased various methodologies, such as AI-assisted clinical notes and NLP algorithms. Most studies have demonstrated the ability of AI to be used in real life clinical scenarios. Major electronic health record platforms are also integrating AI to their system. However, to date, no studies have specifically addressed AI for patient summary creation in ED clinics.</p>\",\"PeriodicalId\":11112,\"journal\":{\"name\":\"Current Urology Reports\",\"volume\":\"26 1\",\"pages\":\"20\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2024-11-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current Urology Reports\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s11934-024-01237-1\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"UROLOGY & NEPHROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Urology Reports","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s11934-024-01237-1","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"UROLOGY & NEPHROLOGY","Score":null,"Total":0}
引用次数: 0

摘要

审查目的:在现代医疗保健领域,人工智能(AI)的整合给临床实践带来了革命性的变化,尤其是在数据管理和患者就诊摘要创建方面。人工创建病人就诊摘要重复、耗时、容易出错,而且增加了临床医生的工作量。人工智能通过语音识别和自然语言处理(NLP),可以更准确、更高效地自动完成这项任务。勃起功能障碍(ED)诊所在处理特定病症模式的同时,还涉及更广泛的系统性问题,因此人工智能驱动的患者摘要可使其受益匪浅。本范围综述研究了有关人工智能生成患者摘要的证据,并评估了其在 ED 诊所的实施情况:最初共确定了 381 篇文章,其中 11 项研究被纳入分析。这些研究展示了各种方法,如人工智能辅助临床笔记和 NLP 算法。大多数研究都证明了人工智能在实际临床场景中的应用能力。主要的电子病历平台也正在将人工智能集成到其系统中。然而,迄今为止,还没有研究专门针对在急诊室创建病人摘要的人工智能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial Intelligence as a Tool for Creating Patient Visit Summary: A Scoping Review and Guide to Implementation in an Erectile Dysfunction Clinic.

Purpose of review: In modern healthcare, the integration of artificial intelligence (AI) has revolutionized clinical practices, particularly in data management and patient visit summary creation. Manual creation of patient summary is repetitive, time-consuming, prone to errors, and increases clinicians' workload. AI, through voice recognition and Natural Language Processing (NLP), can automate this task more accurately and efficiently. Erectile dysfunction (ED) clinics, which deal with specific pattern of conditions together with an involvement of broader systemic issues, can greatly benefit from AI-driven patient summary. This scoping review examined the evidence on AI-generated patient summary and evaluated their implementation in ED clinics.

Recent findings: A total of 381 articles were initially identified, 11 studies were included for the analysis. These studies showcased various methodologies, such as AI-assisted clinical notes and NLP algorithms. Most studies have demonstrated the ability of AI to be used in real life clinical scenarios. Major electronic health record platforms are also integrating AI to their system. However, to date, no studies have specifically addressed AI for patient summary creation in ED clinics.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Current Urology Reports
Current Urology Reports UROLOGY & NEPHROLOGY-
CiteScore
4.60
自引率
3.80%
发文量
39
期刊介绍: This journal intends to review the most important, recently published findings in the field of urology. By providing clear, insightful, balanced contributions by international experts, the journal elucidates current and emerging approaches to the care and prevention of urologic diseases and conditions. We accomplish this aim by appointing international authorities to serve as Section Editors in key subject areas, such as benign prostatic hyperplasia, erectile dysfunction, female urology, and kidney disease. Section Editors, in turn, select topics for which leading experts contribute comprehensive review articles that emphasize new developments and recently published papers of major importance, highlighted by annotated reference lists. An international Editorial Board reviews the annual table of contents, suggests articles of special interest to their country/region, and ensures that topics are current and include emerging research. Commentaries from well-known figures in the field are also provided.
×
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:481959085
Book学术官方微信