Proceedings of the 2025 International Conference on Educational Technology and Management Information Systems (ETMIS 2025)

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Evidence-based Optimization of the Topology and Cultivation of Talents in Traditional Chinese Medicine Engineering: An Empirical Study Based on Public Evidence Chains

Authors
Mingyue Wang1, Xiying Han1, *
1Changchun University of Chinese Medicine, College of Medical Information, Changchun, 130117, China
*Corresponding author.
Corresponding Author
Xiying Han
Available Online 23 April 2026.
DOI
10.2991/978-94-6239-630-2_22How to use a DOI?
Keywords
Traditional Chinese Medicine Engineering; Capability Topology; Higher Engineering Education
Abstract

In response to the structural mismatch between the cultivation of talents in traditional Chinese medicine engineering and the demands of the industry and career development, this study adopts a three-dimensional demand analysis, ability topology mapping, and adaptability verification method to construct a dynamic evidence chain model of industry demand, cultivation supply, and career development based on the evidence-based thinking. The research finds that there are high-risk ability gaps in the fields of intelligent manufacturing and medical devices, with a gap index > 0.4. The curriculum system has insufficient coverage of technical demands, with an average similarity of 0.28. The adaptability of graduates in the field of intelligent medical equipment is only 0.25. To optimize the talent cultivation system in traditional Chinese medicine engineering, universities should establish interdisciplinary laboratories to strengthen the cultivation of high-risk areas, and reconstruct the core curriculum system to form a dynamic evidence-based mechanism of “curriculum monitoring - ability analysis - cultivation optimization”, further providing a replicable evidence-based model for higher engineering education.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 International Conference on Educational Technology and Management Information Systems (ETMIS 2025)
Series
Advances in Computer Science Research
Publication Date
23 April 2026
ISBN
978-94-6239-630-2
ISSN
2352-538X
DOI
10.2991/978-94-6239-630-2_22How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Mingyue Wang
AU  - Xiying Han
PY  - 2026
DA  - 2026/04/23
TI  - Evidence-based Optimization of the Topology and Cultivation of Talents in Traditional Chinese Medicine Engineering: An Empirical Study Based on Public Evidence Chains
BT  - Proceedings of the 2025 International Conference on Educational Technology and Management Information Systems (ETMIS 2025)
PB  - Atlantis Press
SP  - 227
EP  - 235
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-630-2_22
DO  - 10.2991/978-94-6239-630-2_22
ID  - Wang2026
ER  -