Chang Su, Caixian Zheng, Linling Zhang, Yunming Shen, Kai Fan, Tingting Dong, Hangyan Zhao, Xiaofeng Wang, Dawei Qiao, Kun Zheng
{"title":"[Exploration and Practice of Performance Evaluation System for Large Medical Equipment Based on Internet of Things Technology].","authors":"Chang Su, Caixian Zheng, Linling Zhang, Yunming Shen, Kai Fan, Tingting Dong, Hangyan Zhao, Xiaofeng Wang, Dawei Qiao, Kun Zheng","doi":"10.12455/j.issn.1671-7104.240684","DOIUrl":null,"url":null,"abstract":"<p><p>Medical equipment, as an important indicator of smart hospital evaluation, plays a vital role in hospital operations. To ensure the safe and efficient operation of medical equipment, a reasonable performance evaluation system is indispensable. This study introduces a platform based on Internet of Things (IoT) technology that connects medical devices and collects data, achieving standardized and structured data processing, and supporting online operational supervision. Through the Delphi method, a performance evaluation system for large medical equipment is constructed, including 4 primary indicators and 22 secondary indicators. DICOM data acquisition devices are used to achieve functions such as efficiency analysis, benefit analysis, usage evaluation, and decision-making support for medical equipment. The study is still in its early stages, and in the future, it is expected to integrate more types of equipment, achieve rational resource allocation, and significantly impact decision-making for the development of public hospitals.</p>","PeriodicalId":52535,"journal":{"name":"中国医疗器械杂志","volume":"49 2","pages":"191-196"},"PeriodicalIF":0.0000,"publicationDate":"2025-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"中国医疗器械杂志","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.12455/j.issn.1671-7104.240684","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Medical equipment, as an important indicator of smart hospital evaluation, plays a vital role in hospital operations. To ensure the safe and efficient operation of medical equipment, a reasonable performance evaluation system is indispensable. This study introduces a platform based on Internet of Things (IoT) technology that connects medical devices and collects data, achieving standardized and structured data processing, and supporting online operational supervision. Through the Delphi method, a performance evaluation system for large medical equipment is constructed, including 4 primary indicators and 22 secondary indicators. DICOM data acquisition devices are used to achieve functions such as efficiency analysis, benefit analysis, usage evaluation, and decision-making support for medical equipment. The study is still in its early stages, and in the future, it is expected to integrate more types of equipment, achieve rational resource allocation, and significantly impact decision-making for the development of public hospitals.
期刊介绍:
Chinese Journal of Medical Instrumentation mainly reports on the development, progress, research and development, production, clinical application, management, and maintenance of medical devices and biomedical engineering. Its aim is to promote the exchange of information on medical devices and biomedical engineering in China and turn the journal into a high-quality academic journal that leads academic directions and advocates academic debates.