Implementasi Artificial Intelligence Dalam Manajemen Rumah Sakit: Systematic Review Terhadap Efisiensi Operasional, Mutu Pelayanan, Dan Keselamatan Pasien

Nurcholisah Fitra; Syafrina Ulfah

doi:10.62027/vitamedica.v4i3.780

Authors

Nurcholisah Fitra Universitas Sumatera Utara
Syafrina Ulfah Universitas Sumatera Utara, Medan Indonesia

DOI:

https://doi.org/10.62027/vitamedica.v4i3.780

Keywords:

Artificial Intelligence, Hospital Management, Operational Efficiency, Service Quality, Patient Safety

Abstract

The development of Artificial Intelligence (AI) has driven significant transformation in hospital management, particularly in operational efficiency, service quality, and patient safety. This study aims to analyze the implementation of AI in hospital management based on recent scientific evidence from 2020 to 2026. The method used was a systematic review guided by the PRISMA 2020 framework. Literature was retrieved from PubMed, ScienceDirect, SpringerLink, Google Scholar, and ProQuest. From 360 identified articles, a stepwise selection process was conducted, resulting in 15 articles that met the inclusion criteria. The findings indicate that AI contributes to improved operational efficiency through patient flow optimization, operating room management, workforce scheduling, and electronic medical record management. AI also enhances service quality through predictive data analytics and supports patient safety through risk detection and early warning systems. In conclusion, AI has strong strategic potential to support modern hospital management. However, its implementation still faces several challenges, including human resource readiness, data security, algorithmic bias, system interoperability, and investment requirements. Therefore, AI implementation should be carried out in a planned, ethical manner and evaluated from a health economics perspective.

References

Alghareeb, E., & Aljehani, N. (2025). AI in Health Care Service Quality: Systematic Review. JMIR AI, 4, e69209. https://doi.org/10.2196/69209

Bellini, V., Russo, M., Domenichetti, T., et al. (2024). Artificial Intelligence in Operating Room Management. Journal of Medical Systems, 48, 19. https://doi.org/10.1007/s10916-024-02038-2

Canfell, O. J., Woods, L., Meshkat, Y., et al. (2024). The Impact of Digital Hospitals on Patient and Clinician Experience: Systematic Review and Qualitative Evidence Synthesis. Journal of Medical Internet Research, 26, e47715. https://doi.org/10.2196/47715

Choudhury, A., & Asan, O. (2020). Role of Artificial Intelligence in Patient Safety Outcomes: Systematic Literature Review. JMIR Medical Informatics, 8(7), e18599. https://doi.org/10.2196/18599

Higgins, J. P. T., Thomas, J., Chandler, J., et al. (Eds.). (2021). Cochrane Handbook for Systematic Reviews of Interventions (Version 6.3). Cochrane. https://training.cochrane.org/handbook

Merino, M., del Barrio, J., Nuño, R., & Errea, M. (2024). Value-Based Digital Health: A Systematic Literature Review of the Value Elements of Digital Health Care. Digital Health, 10. https://doi.org/10.1177/20552076241277438

Page, M. J., McKenzie, J. E., Bossuyt, P. M., et al. (2021). The PRISMA 2020 Statement: An Updated Guideline for Reporting Systematic Reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71

Stoumpos, A. I., Kitsios, F., & Talias, M. A. (2023). Digital Transformation in Healthcare: Technology Acceptance and Its Applications. International Journal of Environmental Research and Public Health, 20(4), 3407. https://doi.org/10.3390/ijerph20043407

Topol, E. J. (2019). Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. Basic Books.

World Health Organization. (2022). Global Strategy on Digital Health 2020–2025. WHO. https://www.who.int/docs/default-source/documents/gs4dhdaa2a9f352b0445bafbc79ca799dce4d.pdf