Skip to main navigation menu Skip to main content Skip to site footer

Research Article

Vol. 1 No. 3 (2025): International Journal of Multidisciplinary Research

Research on the process of medical digitalization based on the perspective of new institutional economics

DOI
https://doi.org/10.65231/ijmr.v1i3.96
Submitted
December 11, 2025
Published
2025-12-30

Abstract

This article systematically explores the theoretical logic and practical approaches to the digitalization of healthcare from the perspective of new institutional economics. By integrating institutional change theory, transaction cost theory, and digital economy theory, we construct an analytical framework for the digitalization of healthcare. This framework reveals the phased characteristics of China's healthcare digitalization development, the driving mechanisms of institutional change, and the breakthrough paths for this process. Furthermore, we propose an optimization approach. Our findings suggest that the digitalization of healthcare requires the dual driving forces of institutional innovation and technological synergy to achieve optimal allocation of medical resources and improve service efficiency.

 

 

References

  1. Lu Xianxiang, Zhu Di. 40 years of institutional change in China: Review and Prospect - Based on the perspective of new institutional economics [J]. Humanities Magazine, 2018 (10): 13-20.
  2. Yang Yansui. Promoting medical system innovation with medical digitalization [J]. Forum of Chinese Party and Government Cadres, 2023 (1): 78-81.
  3. Cuypers IRP, Hennart JF, Silverman BS et al. Transaction cost theory: past progress, current challenges and future suggestions [J]. School of Management, 2021, 15 (1): 111-150.
  4. Chen Xiaohong, Li Yangyang, Song Lijie, et al. Theoretical system and research prospects of digital economy [J]. Management World, 2022, 38 (2): 208-224.DOI:10.19744/j.cnki.11-1235/f.2022.0020
  5. YANG, D., & WANG, Z. A Study on Evaluation of the Integration of Chinese and Foreign Cultures into Oxford Junior High School English Textbooks on the Basis of Multicultural Education. Editorial Board, 33.
  6. Tian, Y., Xu, S., Cao, Y., Wang, Z., & Wei, Z. (2025). An Empirical Comparison of Machine Learning and Deep Learning Models for Automated Fake News Detection. Mathematics, 13(13), 2086.
  7. GU, Y., WANG, X., & ZHODRO, M. (2025). DYNAMIC ANALYSIS AND STRATEGY RESEARCH ON THE ECONOMICS OF ECOLOGICAL BUILDING MATERIALS. ББК 78.58 я43 И62, 1395.
  8. Gu, Y., & Lukin, S. (2025). Employment Effects of Digital Economy: The Role of SMEs in Bridging Skill Mismatch. International Journal of Multidisciplinary Research, 1(2), 112-118.
  9. HOU, R., JEONG, S., WANG, Y., LAW, K. H., & LYNCH, J. P. (2017). Camera-based triggering of bridge structural health monitoring systems using a cyber-physical system framework. Structural Health Monitoring 2017, (shm).
  10. Qi, R. (2025, June). Enterprise financial distress prediction based on machine learning and SHAP interpretability analysis. In Proceedings of the 2025 International Conference on Artificial Intelligence and Digital Finance (pp. 76-79).
  11. Qi, R. (2025). AUBIQ: A Generative AI-Powered Framework for Automating Business Intelligence Requirements in Resource-Constrained Enterprises. Frontiers in Business and Finance, 2(01), 66-86.