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.
Authors
- Sun We (ORCID: https://orcid.org/0000-0001-6841-5497)
- Kuo‐Cheng Lu (ORCID: https://orcid.org/0000-0002-7062-8560)
- Yanling Zhang (ORCID: https://orcid.org/0000-0002-2323-2600)
- Junfeng Lv
Institutions
- Jinan University (CN)
- Liaoning University of Traditional Chinese Medicine (CN)
- Huizhou Central People's Hospital (CN)
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
- 0.00