| 引用本文：李格源,田雨,马骋宇,等.基于PMC指数模型的医疗机构检查检验结果互认政策量化评价[J].中国卫生政策研究,2025,18(7):18-26 |
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| 基于PMC指数模型的医疗机构检查检验结果互认政策量化评价 |
| 投稿时间：2025-06-05 修订日期：2025-07-15 PDF全文浏览 HTML全文浏览 |
| 李格源1,2，田雨1，马骋宇1，彭然1，庞亚楠2，齐鑫2，孙鑫2 |
| 1.首都医科大学公共卫生学院 北京 100069;2.国家癌症中心/国家肿瘤临床医学研究中心/中国医学科学院北京协和医学院肿瘤医院 北京 100021 |
| 摘要:目的 基于PMC指数模型对2006—2025年我国国家及地方层面检查检验结果互认政策文本进行量化评估，为政策制定和完善提供参考。方法 采用ROSTCM6软件对国家及地方层面出台的27份政策文件进行梳理及文本挖掘，建立我国检查检验结果互认政策PMC指数模型，通过9个一级变量和39个二级变量的PMC评价体系进行量化分析。结果 27项政策的PMC指数均值为6.06（优秀水平），其中4项等级为完美，18项等级为优秀，5项等级为可接受。结论 当前需设定科学可行的政策目标，健全法律保障与医保协同机制，构建完善的数据安全维护体系，为检查检验结果互认工作的持续推进提供政策支持及保障。 |
| 关键词:检查检验 结果互认 文本挖掘 政策评价 PMC指数模型 |
| 基金项目:首都卫生管理与政策研究基地2025年度开放性课题项目（2025JD07） |
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| Quantitative evaluation of the policy on mutual recognition of medical examination and inspection results in medical institutions based on the PMC index model |
| LI Ge-yuan1,2, TIAN Yu1, MA Cheng-yu1, PENG Ran1, PANG Ya-nan2, QI Xin2, SUN Xin2 |
| 1.School of Public Health， Capital Medical University， Beijing 100069， China;2.National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital， Chinese Academy of Medical Sciences and Peking Union Medical College， Beijing 100021， China |
| Abstract:Objective To quantitatively evaluate the policy texts on mutual recognition of examination and inspection results at the national and local levels in China from 2006 to 2025 based on the PMC index model， and provide reference for policy formulation and improvement.Methods The ROSTCM6 software was used to sort out and conduct text mining on 27 policy documents issued at the national and local levels， establishing the PMC index model for the mutual recognition of examination and inspection results in China. Quantitative analysis was conducted through a PMC evaluation system consisting of 9 first-level variables and 39 second-level variables.Results The average PMC index was 6.06 （excellent level）. Among the 27 policies， 4 were rated as perfect， 18 as excellent， and 5 as acceptable.Conclusions Current policies need to strengthen the formulation of scientific and feasible goals， improve legal guarantees and medical insurance coordination mechanisms， and build a complete data security maintenance system to provide policy support and guarantees for the continuous advancement of the mutual recognition of examination and inspection results. |
| Key words:Examination and inspection Mutual recognition of results Text mining Policy evaluation PMC index model |
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