Article(id=1320388823129903113, tenantId=1146029695717560320, journalId=1319373289681944729, issueId=1320388792901554957, articleNumber=null, orderNo=null, doi=10.11876/mimt202506012, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=null, receivedDateStr=null, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1792734827072, onlineDateStr=2026-10-23, pubDate=1765296000000, pubDateStr=2025-12-10, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1792734827072, onlineIssueDateStr=2026-10-23, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1792734827072, creator=13701087609, updateTime=1792734827072, updator=13701087609, issue=Issue{id=1320388792901554957, tenantId=1146029695717560320, journalId=1319373289681944729, year='2025', volume='31', issue='6', pageStart='1', pageEnd='96', issueExtLink='null', onlineDate='null', pubDate='1765296000000', pubDateStr='2025-12-10', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1792734819865, creator='13701087609', updateTime=1792746371372, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1320437243483902178, tenantId=1146029695717560320, journalId=1319373289681944729, issueId=1320388792901554957, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1320437243483902179, tenantId=1146029695717560320, journalId=1319373289681944729, issueId=1320388792901554957, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=70, endPage=76, ext={EN=ArticleExt(id=1320388824895705098, articleId=1320388823129903113, tenantId=1146029695717560320, journalId=1319373289681944729, language=EN, title=Application of refined management system for medical equipment based on IoT, columnId=null, journalTitle=Modern Instruments & Medical Treatment, columnName=null, runingTitle=null, highlight=null, articleAbstract=
Objective To address critical pain points in medical equipment management within large public hospitals, such as ‘blind spots in asset supervision’, ‘passive maintenance response’ and ‘single-dimensional performance evaluation’, this study explores the construction of an internet of things (IoT)-based refined management system. The goal is to achieve intelligent monitoring and scientific decision-making throughout the full lifecycle of medical equipment.
Methods A five-layer architecture (perception, data, services, application, presentation) was implemented. Sensing terminals were deployed to collect the real-time operational status of equipment, which were then deeply integrated with hospital information systems to form a data-driven closed-loop management system. On this basis, two parallel business lines were constructed: ‘Lifecycle Management’ and ‘Operational Monitoring & Performance Analysis’.
Results Since the official launch of the system in December 2024, significant results have been achieved. The comparative analysis conducted before the system launched (from January to December 2024) and after the system launched (from January to December 2025) reveals that the consistency rate between asset accounts and physical stock increased from 94.84% to 100.00% (P<0.001). The operational saturation of large equipment increased from 49.30% to 52.33% (P=0.043). Furthermore, maintenance timeliness surged from 75.20% to 96.96% (P<0.001).
Conclusion The IoT-enabled refined management system successfully facilitates a paradigm shift in hospital equipment management from a ‘passive, experience-based’ model to an ‘active, data-driven’ model. This approach not only enhances asset operational efficiency and compliance but also provides a reproducible and scalable practical pathway for the construction of smart hospitals.
, authors=Yongna Bian, authorsList=Yongna Bian, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=
All copyrights in 2025 belong to the sponsor of the journal.Not content published by the journal may be reproduced or abridged without authorization., copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1320388825164140555, articleId=1320388823129903113, tenantId=1146029695717560320, journalId=1319373289681944729, language=CN, title=基于物联网技术的医疗设备精细化管理系统实践探索, columnId=1320381056239387017, journalTitle=现代仪器与医疗, columnName=医学工程, runingTitle=null, highlight=null, articleAbstract=
目的 针对大型公立医院医疗设备管理中存在的“资产监管盲区”“运维响应被动”“绩效评价维度单一”等痛点，探讨构建基于物联网（internet of things，IoT）技术的医疗设备精细化管理体系，以实现医疗设备全生命周期的智能化监测与科学决策。
方法 设计“感知层—数据层—服务层—应用层—展现层”的5层架构。部署感知终端，采集设备的真实运行状态，并与医院信息系统深度融合，形成数据驱动的闭环管理。在此基础上，构建“全生命周期管理”与“运行监测与绩效评价”双线并行业务。
结果 系统自2024年12月正式启用以来，成效显著。系统上线前（2024年1月—12月）与系统上线后（2025年1月—12月）对比分析显示：账物相符率从94.84%提升至100.00%（P<0.001）；大型设备饱和度由49.30%提升至52.33%（P=0.043）；维修及时性从75.20%跃升至96.96%（P<0.001）。
结论 物联网技术赋能的医疗设备精细化管理系统，成功推动了医院设备管理由“被动经验型”向“主动数据型”的范式转变。该模式不仅提升了资产运营效率与合规性，更为智慧医院的建设提供了可复制、可推广的实践路径。
, authors=边永娜, authorsList=边永娜, authorCompany=null, correspAuthors=null, authorNote=
边永娜，女，博士研究生，研究员，研究方向：医疗器械质量评价与卫生技术评估
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边永娜，女，博士研究生，研究员，研究方向：医疗器械质量评价与卫生技术评估
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边永娜，女，博士研究生，研究员，研究方向：医疗器械质量评价与卫生技术评估
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