Digitalization practices, data analytics, and artificial intelligence among public hospitals: Basis for smarter hospital management system framework

International Journal of Research Studies in Management
CollabWritive Special Issue
2025 Volume 13 Issue 2

Available Online: 25 March 2025

Author/s:

Li, Fang
Graduate School, Lyceum of the Philippines University – Batangas, Philippines

Abstract:

The application and innovation of new technologies have injected strong impetus into all areas of society and have also brought profound impact on the healthcare industry. With the aim of adapting to the developmental needs and strengthening the central role of public hospitals in securing and improving the living standards of the population, the General Office of the State Council of the People’s Republic of China, the National Health Commission, and the State Administration of Traditional Chinese jointly issued the Opinions of GOSC on Propelling the advancement of public hospitals towards high-quality growth. This study adopted descriptive research design. The results of the study revealed that digitalization is sometimes practiced in terms of process optimization, data automation, and patient management; data analytics is often applied in cost-benefit analysis, risk management and predictive analysis; and the application of AI is sometimes utilized in document management, task management automation and clinical decision support. There is a significant relationship between digitalization practices and digital analytics, digitalization practices and artificial intelligence, and digital analytics and artificial intelligence. A Smarter Hospital Management system framework is proposed.

Keywords: digitalization practices, data analytics, artificial intelligence, smarter hospital management system framework

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DOI: https://doi.org/10.5861/ijrsm.2025.25030

Cite this article:
Li, F. (2025). Digitalization practices, data analytics, and artificial intelligence among public hospitals: Basis for smarter hospital management system framework. International Journal of Research Studies in Management, 13(2), 165-178. https://doi.org/10.5861/ijrsm.2025.25030