Quantitative analysis of medical quality intelligent management policies in China: a PMC index model approach

Based on the comprehensive evaluation of MQIMPs, three key recommendations are proposed. First, from the Medical Quality Control Dimension, consider adding new policies and subdividing governance areas. Second, from the Data Support perspective, establish a data lifecycle governance framework to clarify the policy core content. Third, refine audience segmentation criteria from the Policy Audience dimension. These steps will effectively develop the MQIMPs, enhancing their ability to guide practice and drive national medical quality improvement.

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Publication Details

Journal
Frontiers in Public Health
Published
2025-11-26
DOI
https://doi.org/10.3389/fpubh.2025.1716942
Primary Topic
Data Quality and Management
Type
article
Field-Weighted Citation Impact
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article

Quantitative analysis of medical quality intelligent management policies in China: a PMC index model approach

Sun We, Kuo‐Cheng Lu, Yanling Zhang, Junfeng Lv
Frontiers in Public Health
Data Quality and Management
article

Quantitative analysis of medical quality intelligent management policies in China: a PMC index model approach

Sun We, Kuo‐Cheng Lu, Yanling Zhang, Junfeng Lv
article en

Abstract

Based on the comprehensive evaluation of MQIMPs, three key recommendations are proposed. First, from the Medical Quality Control Dimension, consider adding new policies and subdividing governance areas. Second, from the Data Support perspective, establish a data lifecycle governance framework to clarify the policy core content. Third, refine audience segmentation criteria from the Policy Audience dimension. These steps will effectively develop the MQIMPs, enhancing their ability to guide practice and drive national medical quality improvement.

Frontiers in Public HealthVol. 13
Jinan University (CN), Liaoning University of Traditional Chinese Medicine (CN), Huizhou Central People's Hospital (CN)
Openalex Percentile: Top 58%
Data Quality and Management
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