Analysis of the Relationship Between Digital Transformation Influenced by Technology, Artificial Intelligence Diagnosis, Legal Basis and Challenges to Health Services in Hospitals

Mohamad Reza Hilmy; Rahmat Dwi  Putranto; Erlina Puspitaloka  Mahadewi; Ichwan  Setiawan; Alika  Shameela

doi:10.36418/syntax-literate.v10i12.63215

Mohamad Reza Hilmy Universitas Esa Unggul
Rahmat Dwi Putranto Sekolah Tinggi Ilmu Hukum Iblam
Erlina Puspitaloka Mahadewi Universitas Esa Unggul
Ichwan Setiawan Sekolah Tinggi Ilmu Hukum Iblam
Alika Shameela Universitas Indonesia

DOI: https://doi.org/10.36418/syntax-literate.v10i12.63215

Keywords: digital transformation, artificial intelligence, hospital services, healthcare challenges, legal frameworks

Abstract

The rapid adoption of digital technologies and artificial intelligence (AI) is transforming hospital healthcare services, offering opportunities to improve diagnostic accuracy, operational efficiency, and patient-centered care. Previous studies indicate that AI-powered diagnostic tools, cloud computing, electronic health records, and IoT systems significantly enhance clinical decision-making and resource management. However, legal, ethical, and operational challenges including patient data privacy, liability ambiguity, staff skill gaps, interoperability issues, and high implementation costs pose significant barriers to effective adoption. This study aims to investigate the relationship between digital transformation driven by emerging technologies, AI-assisted diagnostics, legal frameworks, and operational challenges in hospital services. A systematic literature review (SLR) was conducted, analyzing peer-reviewed articles published between 2021 and 2025 from major databases including PubMed, Scopus, ScienceDirect, and Google Scholar. Key themes were extracted and synthesized across five dimensions: technology and infrastructure, AI implementation, legal and regulatory considerations, operational challenges, and healthcare outcomes. Findings reveal that while digital transformation and AI adoption enhance hospital efficiency and diagnostic precision, their success depends on coordinated attention to regulatory compliance, staff training, system integration, and organizational readiness. Hospitals must adopt multidimensional strategies to balance technological innovation with ethical, legal, and operational considerations for sustainable healthcare delivery.

Downloads

Download data is not yet available.

References

Al Kuwaiti, A., Nazer, K., Al-Reedy, A., Al-Shehri, S., Al-Muhanna, A., Subbarayalu, A. V., Al Muhanna, D., & Al-Muhanna, F. A. (2023). A review of the role of artificial intelligence in healthcare. Journal of Personalized Medicine, 13(6), 951.
Alowais, S. A., Alghamdi, S. S., Alsuhebany, N., Alqahtani, T., Alshaya, A. I., Almohareb, S. N., Aldairem, A., Alrashed, M., Bin Saleh, K., & Badreldin, H. A. (2023). Revolutionizing healthcare: the role of artificial intelligence in clinical practice. BMC Medical Education, 23(1), 689.
Alzamily, J. Y. I., Bakeer, H., Almadhoun, H., Abunasser, B. S., & Abu-Naser, S. S. (2024). Artificial Intelligence in Healthcare: Transforming Patient Care and Medical Practices.
Bhagat, S. V, & Kanyal, D. (2024). Navigating the future: the transformative impact of artificial intelligence on hospital management-a comprehensive review. Cureus, 16(2).
Chikhaoui, E., Alajmi, A., & Larabi-Marie-Sainte, S. (2022). Artificial intelligence applications in healthcare sector: ethical and legal challenges. Emerging Science Journal, 6(4), 717�738.
Dangi, R. R., Sharma, A., & Vageriya, V. (2025). Transforming healthcare in low?resource settings with artificial intelligence: Recent developments and outcomes. Public Health Nursing, 42(2), 1017�1030.
Fahim, Y. A., Hasani, I. W., Kabba, S., & Ragab, W. M. (2025). Artificial intelligence in healthcare and medicine: clinical applications, therapeutic advances, and future perspectives. European Journal of Medical Research, 30(1), 848.
Faiyazuddin, M., Rahman, S. J. Q., Anand, G., Siddiqui, R. K., Mehta, R., Khatib, M. N., Gaidhane, S., Zahiruddin, Q. S., Hussain, A., & Sah, R. (2025). The impact of artificial intelligence on healthcare: a comprehensive review of advancements in diagnostics, treatment, and operational efficiency. Health Science Reports, 8(1), e70312.
Gachago, J. (2025). The Transformative Impact of Artificial Intelligence on the Digital Maturity of Hospitals. In Digital Maturity in Hospitals: Strategies, Frameworks, and Global Case Studies to Shape Future Healthcare (pp. 291�321). Springer.
Gehde, K. M., Rausch, F., & Leker, J. (2022). Business model configurations in digital healthcare a German case study about digital transformation. International Journal of Innovation Management, 26(03), 2240018.
Jabarulla, M. Y., & Lee, H.-N. (2021). A blockchain and artificial intelligence-based, patient-centric healthcare system for combating the COVID-19 pandemic: Opportunities and applications. Healthcare, 9(8), 1019.
Karrouk, Y., Debasa, F., & Sanchez, L. M. F. (2025). The Digital Transformation of Smart Hospitals: Challenges and Opportunities. Utilizing AI of Medical Things for Healthcare Security and Sustainability, 1�54.
Klumpp, M., Hintze, M., Immonen, M., R�denas-Rigla, F., Pilati, F., Aparicio-Mart�nez, F., �elebi, D., Liebig, T., Jirstrand, M., & Urbann, O. (2021). Artificial intelligence for hospital health care: application cases and answers to challenges in European hospitals. Healthcare, 9(8), 961.
Lee, D., & Yoon, S. N. (2021). Application of artificial intelligence-based technologies in the healthcare industry: Opportunities and challenges. International Journal of Environmental Research and Public Health, 18(1), 271.
Maleki Varnosfaderani, S., & Forouzanfar, M. (2024). The role of AI in hospitals and clinics: transforming healthcare in the 21st century. Bioengineering, 11(4), 337.
Rashid, Z., Ahmed, H., Nadeem, N., Zafar, S. B., & Yousaf, M. Z. (2025). The paradigm of digital health: AI applications and transformative trends. Neural Computing and Applications, 1�32.
Razavi, J., Dhafar, H. O., & BaHammam, A. S. (2025). Transforming health care with artificial intelligence: Regulations, challenges, and future directions. Saudi Journal for Health Sciences, 14(1), 11�22.
Singh, S., Bhatt, P., Sharma, S. K., & Rabiu, S. (2021). Digital transformation in healthcare: Innovation and technologies. In Blockchain for Healthcare Systems (pp. 61�79). CRC Press.
Urbi, S. R. C., & Tiva, M. G. (2025). Technology and innovation in healthcare: Adoption of AI and predictive analytics in hospital management. Pathfinder of Research, 3(2), 22�45.
Wong, B. K. M., Vengusamy, S., & Bastrygina, T. (2024). Healthcare digital transformation through the adoption of artificial intelligence. In Artificial Intelligence, big data, blockchain and 5G for the digital transformation of the healthcare industry (pp. 87�110). Elsevier.