Article(id=1241025205330571981, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1241025201983508979, articleNumber=null, orderNo=null, doi=10.20043/j.cnki.MPM.202409205, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1726156800000, receivedDateStr=2024-09-13, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1773813066084, onlineDateStr=2026-03-18, pubDate=1744214400000, pubDateStr=2025-04-10, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1773813066084, onlineIssueDateStr=2026-03-18, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1773813066084, creator=13701087609, updateTime=1773813066084, updator=13701087609, issue=Issue{id=1241025201983508979, tenantId=1146029695717560320, journalId=1227665162245664772, year='2025', volume='52', issue='7', pageStart='1153', pageEnd='1344', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1773813065285, creator=13701087609, updateTime=1773815493878, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1241035388320543403, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1241025201983508979, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1241035388320543404, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1241025201983508979, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=1274, endPage=1277, ext={EN=ArticleExt(id=1241025205674504914, articleId=1241025205330571981, tenantId=1146029695717560320, journalId=1227665162245664772, language=EN, title=Research progress of artificial intelligence in improving hand hygiene compliance of medical staff, columnId=1228016567846367388, journalTitle=Modern Preventive Medicine, columnName=Health Policy and Management, runingTitle=null, highlight=null, articleAbstract=

Hand hygiene is the most basic and simplest intervention measure for preventing hospital infections. To improve the hand hygiene compliance of medical staff, various new technologies, methods, and models have been adopted in different countries, and artificial intelligence technology has also been gradually introduced into this field. This paper reviews the research progress of existing artificial intelligence technologies in the hand hygiene compliance of medical staff, aiming to provide reference methods for medical institutions in China to improve the hand hygiene compliance of medical staff, thereby reducing the hospital infection rate and ensuring the safety of medical quality.

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手卫生是预防医院感染最基本、最简单的干预措施。为提高医务人员的手卫生依从性，各国采用了各种新技术、新方法、新模式，人工智能技术也逐渐被引入这一领域。本文将现有人工智能技术在医务人员手卫生依从性方面的研究进展进行综述，旨在为我国医疗机构提升医务人员手卫生依从性提供借鉴方法，进而降低医院感染率，保障医疗质量安全。

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陈梦贤（2004—），女，本科在读，研究方向：医院感染

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陈梦贤（2004—），女，本科在读，研究方向：医院感染

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