<?xml version="1.1" encoding="utf-8"?>
<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">MRP</journal-id><journal-title-group><journal-title>Medical Research and Practice</journal-title></journal-title-group><issn>2993-9690</issn><eissn>2993-9704</eissn><publisher><publisher-name>Art and Design</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.61369/MRP.2025070021</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>医疗器械技术管理中经济效益杠杆的构建：基于流程优化与智能决策的双维度研究</title><url>https://artdesignp.com/journal/MRP/3/7/10.61369/MRP.2025070021</url><author>温自强</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>3</volume><issue>7</issue><history><date date-type="pub"><published-time>2025-07-20</published-time></date></history><abstract>本研究聚焦医疗器械技术管理领域的经济效益提升机制，系统探讨在全生命周期监管政策与数智化转型背景下，通维护流程优化与智能决策系统构建经济效益杠杆的理论框架与实践路径。研究整合运营管理理论与信息技术应用，基于多案例实证分析揭示：分级维护策略可使高价值设备故障率降低35%以上，移动工单系统实现维修响应效率提升40%；智能决策体系能有效降低设备闲置率&amp;nbsp; &amp;nbsp;15%-20%，维修成本下降10%-25%。业务流程协同带来库存周转率提升25%、客户复购率提高23%的综合效益，验证了数智化转型作为行业降本增效核心路径的战略价值。</abstract><keywords>医疗器械技术管理,经济效益杠杆,流程优化,智能决策,数智化转型</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1]Barney J B. Firm resources and sustained competitive advantage[J]. Journal of Management, 1991, 17(1): 99-120.&amp;nbsp;[2]Williamson O E. Markets and hierarchies: Analysis and antitrust implications[M]. Free Press, 1975.&amp;nbsp;[3]Kobbacy K A, et al. A meta-analysis of maintenance optimization models: towards evidence-based maintenance management[J]. Journal of Maintenance Engineering Management, 2015, 160(1): 4-14.&amp;nbsp;[4]Smith R. The impact of mobile work order systems on maintenance efficiency[J]. Journal of Facilities Management, 2018, 16(2): 112-125.&amp;nbsp;[5]Li W, et al. A deep learning approach for remaining useful life prediction of medical devices[J]. IEEE Transactions on Biomedical Engineering, 2024, 71(3): 1154-1163.&amp;nbsp;[6]Wang Z, et al. Reinforcement learning for medical device resource scheduling in smart hospitals[J]. Computers &amp;amp; Industrial Engineering, 2023, 178: 109348.&amp;nbsp;[7]陈燕霞.医疗器械管理中的风险管理研究 [J]. 中国设备工程，2023, (24): 17-20.&amp;nbsp;[8]吴文宇,肖霄,魏芬芳.在用医疗器械风险管理制度初探和思考 [J]. 中国医疗器械信息,2023, 29 (19): 1-3+15.&amp;nbsp;[9]国务院办公厅.关于全面深化药品医疗器械监管改革促进医药产业高质量发展的意见 [Z]. 2025.&amp;nbsp;[10]国家药品监督管理局.医疗器械监督管理条例 (修订版)[Z]. 2025.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
