Article(id=1320389021449171402, tenantId=1146029695717560320, journalId=1319373289681944729, issueId=1320388968923902012, articleNumber=null, orderNo=null, doi=10.11876/mimt202505014, 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=1792734874354, onlineDateStr=2026-10-23, pubDate=1760025600000, pubDateStr=2025-10-10, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1792734874354, onlineIssueDateStr=2026-10-23, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1792734874354, creator=13701087609, updateTime=1792734874354, updator=13701087609, issue=Issue{id=1320388968923902012, tenantId=1146029695717560320, journalId=1319373289681944729, year='2025', volume='31', issue='5', pageStart='1', pageEnd='108', issueExtLink='null', onlineDate='null', pubDate='1760025600000', pubDateStr='2025-10-10', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1792734861832, creator='13701087609', updateTime=1792746392297, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1320437331253900271, tenantId=1146029695717560320, journalId=1319373289681944729, issueId=1320388968923902012, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1320437331253900272, tenantId=1146029695717560320, journalId=1319373289681944729, issueId=1320388968923902012, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=85, endPage=89, ext={EN=ArticleExt(id=1320389022837486027, articleId=1320389021449171402, tenantId=1146029695717560320, journalId=1319373289681944729, language=EN, title=Design and application an MRI examination appointment scheduling management system based on internet of things technology, columnId=null, journalTitle=Modern Instruments & Medical Treatment, columnName=null, runingTitle=null, highlight=null, articleAbstract=
Objective Applying internet of things (IoT) technology in the construction of hospital medical equipment management information system, and constructing and applying an magnetic resonance imaging (MRI) examination appointment scheduling management system in a real hospital environment, in order to achieve a scientific MRI examination appointment scheduling method, comprehensively improve the efficiency of hospital medical equipment examination, shorten patient waiting time, and optimize resource allocation.
Methods The system optimizes and integrates the existing medical equipment resources by using IoT technology, and combines the hospital's demands. It adopts a four-layer hierarchical architecture from bottom to top: data collection layer - data integration layer - application service layer - application business layer, to build an MRI examination appointment and scheduling management system. This system realizes core functions such as equipment usage efficiency analysis, patient appointment analysis, and scheduling record analysis. By comparing four indicators - the average daily working hours per MRI device, the average daily on-time hours per MRI device, the average daily number of patients served per MRI device, and the average interval time between examinations - before and after the system's launch, the application effect of the system is analyzed.
Results After the application of the system, the average daily number of patients served and average daily working hours per MRI device significantly increased, and the average interval time between examinations significantly decreased, with all differences being statistically significant (P<0.05). However, the difference in the average daily on-time hours per device was not statistically significant (P>0.05), indicating that the system has a promoting effect on improving the utilization efficiency of MRI devices.
Conclusion After the system was applied, the service volume of MRI equipment were significantly improved, the average interval time between examinations was effectively shortened, and the utilization rate of hospital MRI equipment was significantly improved, This management strategy and optimization method not only provide scientific data support for hospital managers, but also provide effective and feasible management tools to enhance the social and economic benefits of hospitals, with broad application prospects and promotion value.
, authors=Xin Yuan, Ying Zhang
*, authorsList=Xin Yuan, Ying Zhang, authorCompany=null, correspAuthors=Ying Zhang, 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=1320389023156253132, articleId=1320389021449171402, tenantId=1146029695717560320, journalId=1319373289681944729, language=CN, title=基于物联网技术的MRI检查预约排程管理系统设计与应用, columnId=1320388907611566751, journalTitle=现代仪器与医疗, columnName=数字化医疗, runingTitle=null, highlight=null, articleAbstract=
目的 将物联网技术应用于医院医疗设备管理信息系统建设中，在真实院内环境构建并应用磁共振成像（magnetic resonance imaging，MRI）检查预约排程管理系统，以实现科学的MRI检查预约排程方法，全面提高医院医疗设备检查效率，缩短患者等待时间并优化资源配置。
方法 利用物联网技术优化整合现有医疗设备资源，结合医院需求，采用自下而上的4层分层架构：数据采集层—数据集成层—应用服务层—应用业务层，构建MRI检查预约排程管理系统，实现设备使用效率分析、患者预约分析、排程记录分析等核心功能。通过比较系统上线前后MRI设备的单台日均工作时长、单台日均开机时长、单台日均服务量、检查间平均间隔时长4个指标，分析系统应用效果。
结果 系统上线后，MRI设备的单台日均服务量和单台日均工作时长明显提升，检查间平均间隔时长明显降低，差异均有统计学意义（P<0.05），单台日均开机时长的差异不具有统计学意义（P>0.05），表明系统对提升MRI设备使用效率有促进作用。
结论 系统应用后，显著提高了MRI检查设备的服务人次，有效缩短了检查间的平均间隔时长，显著提升了医院MRI检查设备的使用率。该管理系统不仅为医院管理者提供了科学的数据支撑，还为提升医院的社会和经济效益提供了有效且可行的管理手段，具有广泛的应用前景和推广价值。
, authors=袁欣, 张应
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袁欣，女，硕士研究生，中级经济师，研究方向：医学装备智慧化管理
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张应，女，硕士研究生，高级经济师，研究方向：医学装备管理
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