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 Institu

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, X. X., & Zhu, D. (2018). 40 years of institutional change in China: Review and prospect - Based on the perspective of new institutional economics. Humanities Magazine, (10), 13-20.
  2. North, D. C. (1990). Institutions, institutional change and economic performance. Cambridge University Press.
  3. Wang, L., Zhang, H., & Li, M. (2022). The impact of electronic medical record sharing on healthcare costs: Evidence from China. Journal of Medical Systems, 46(8), 65. https://doi.org/10.1007/s10916-022-01985-8
  4. Yang, Y. S. (2023). Promoting medical system innovation with medical digitalization. Forum of Chinese Party and Government Cadres, (1), 78-81.
  5. Zhang, Y., Wang, Q., & Zhao, J. (2021). Process standardization through digital platforms: A case study of healthcare institutions in a Chinese province. International Journal of Healthcare Management, 14(3), 421-429.
  6. Li, S., Chen, J., & Hua, W. (2023). Blockchain technology for medical data security: Reducing disputes and improving trust. Journal of Biomedical Informatics, 138, 104325.
  7. https://doi.org/10.1016/j.jbi.2023.104325
  8. Cuypers, I. R. P., Hennart, J. F., & Silverman, B. S. (2021). Transaction cost theory: Past progress, current challenges and future suggestions. School of Management, 15(1), 111-150.
  9. Zhao, H., Liu, J., & Wang, Z. (2021). Real-time resource allocation in public health emergencies: The role of regional medical big data platforms. Health Policy, 125(10), 1289-1297.
  10. Zhou, G., Hua, J., & Sun, Y. (2019). The first stage of healthcare digitalization in China (2000-2015): Achievements and challenges of HIS system implementation. Health Informatics Journal, 25(3), 1890-1905.
  11. Sun, Q., Zhao, Y., & Chen, L. (2020). Data interconnection in healthcare: The impact of regional health information platforms on referral efficiency. Journal of Medical Internet Research, 22(7), e17892. https://doi.org/10.2196/17892
  12. Chen, L., Sun, Q., & Wang, Z. (2021). Regulatory lag in internet healthcare: Challenges and solutions for cross-regional services in China. Journal of Health Care Law and Policy, 24(2), 156-178.
  13. Wang, Y. (2025, April). Efficient Adverse Event Forecasting in Clinical Trials via Transformer-Augmented Survival Analysis. In Proceedings of the 2025 International Symposium on Bioinformatics and Computational Biology (pp. 92-97).
  14. Wang, Y. (2025). AI-AugETM: An AI-augmented exposure–toxicity joint modeling framework for personalized dose optimization in early-phase clinical trials. Preprints. https://doi.org/10.20944/preprints202507.637
  15. Zhang, T. (2025). A Knowledge Graph-Enhanced Multimodal AI Framework for Intelligent Tax Data Integration and Compliance Enhancement. Frontiers in Business and Finance, 2(02), 247-261.
  16. Zhang, T. (2025). A Neuro-Symbolic and Blockchain-Enhanced Multi-Agent Framework for Fair and Consistent Cross-Regulatory Audit Intelligence.
  17. Yi, X. (2025). Compliance-by-Design Micro-Licensing for AI-Generated Content in Social Commerce Using C2PA Content Credentials and W3C ODRL Policies.
  18. 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), 86-88.
  19. 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), 2088.
  20. Xu, S., Cao, Y., Wang, Z., & Tian, Y. (2025, June). Fraud Detection in Online Transactions: Toward Hybrid Supervised-Unsupervised Learning Pipelines. In Proceedings of the 2025 6th International Conference on Electronic Communication and Artificial Intelligence.