Medical Education Management ›› 2025, Vol. 11 ›› Issue (3): 263-269.doi: 10.3969/j.issn.2096-045X.2025.03.003

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Exploration on quality evaluation system of medical college education empowered by digital intelligencetaking Capital Medical University as an example

Han Haoxuan1, Ding Dawen2, Zhang Wei2, Xie Qianchi1*   

  1. 1. Academic Affairs Office, Capital Medical University, Beijing 100069, China; 2. Information Technology Office, Capital Medical University, Beijing 100069, China
  • Received:2025-04-23 Online:2025-06-20 Published:2025-07-25

Abstract:

Establishing a scientific and sound education quality evaluation system is of great significance for building a strong educational country. However, the disciplinary education in medical colleges has its relative uniqueness, so the education quality evaluation system for medical colleges needs to be comprehensively and scientifically deployed according to the characteristics of medical education. For example, it should incorporate multi-dimensional assessments such as clinical probation, internship, experiments, and practical training. At present, the informatization development of some clinical teaching hospitals is still in the stage of "separate operations," and educational data cannot be effectively applied to the overall education quality evaluation system of medical colleges. Therefore, the education evaluation system can be empowered by digital intelligence, using data collection and integration to break through "data silos" and facilitate medical education reform. Meanwhile, adopting a "top-level design" strategy to promote unified data management, establishing a "shared, interconnected, and interoperable" evaluation system based on a "unified form" to reduce repeated filling, covering multiple scenarios in data collection, and using digital intelligence technologies to achieve data standardization and dynamic feedback, so as to ensure the improvement of medical talent training and medical service levels.

Key words:

education quality,  medical education,  digital intelligence,  evaluation system

CLC Number: