Employing AI Technologies in Drafting Public–Private Partnership Contracts in the Field of Healthcare Improvement

Authors

DOI:

https://doi.org/10.48161/qaj.v6n1a2287

Keywords:

administrative contracts; partnership contracts; public healthcare facility; Artificial intelligence.

Abstract

Sustainable development within a nation focuses on improving all governmental facilities within the nation as fully as possible. One of the sectors that has experienced positive development is the health sector. It focuses on optimizing the facilities and patient care services to meet public health needs. At the same time, global legislative developments have accelerated the use of Artificial Intelligence (AI) and its integration into the design, implementation, and supervision of public-private partnership (PPP) contracts to enhance healthcare delivery through a strong legal-health governance framework. This study develops a doctrinal-comparative analysis concerning the legality of using AI technologies for the drafting, execution, and management of PPP contracts within the healthcare sector. More specifically, this study analyses the legal ramifications of the incorporation of AI into healthcare PPPs and intends to lay the foundation for the development of an administrative legal framework concerning the practice. The study aims to assess the administrative legality of the practice in terms of accountability, transparency, and protection of the public interest concerning patient safety, data protection, compliance, and regulation. Ultimately, the study aims to support the efficient operation of public healthcare facilities and the proper and legal use of AI in medical partnership contracts. The study seeks to examine the legal boundaries for the use of AI in the drafting, execution, and management of contracts, and the legal frameworks governing cross-border healthcare PPPs. This study assists scholarship by establishing a starting point for the administrative law framework of AI in PPPs concerning drafting partnerships in the context of derived services. The balancing of administrative law and the technological innovations of AI to address the incessant demands of the healthcare system aims to advance the administrative laws governing healthcare. The sustainable incorporation of AI in healthcare Public-Private Partnerships (PPPs) is understandable from a technological perspective as well as from an adequate legal perspective that sustains the institutional legitimacy, public accountability, and protection of the patients’ interests.

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References

Mustainah, M., Haryono, D., & Nuraisyah, N. (2025). Strategies to improve the quality of public services with artificial intelligence (ai) in indonesia. Qubahan Academic Journal, 5(1), 429-446.

Abdel-Razek, H. (2014). Partnership contracts. Dar Al-Jami’a Al-Jadeeda.

Dragi, S. (2014). Public–private partnership contracts: An effective mechanism for financing local development. Journal of Human Sciences, (41), 310–320.

Abdel-Razek, H. (2014). Partnership contracts. Dar Al-Jami’a Al-Jadeeda.

Al-Qahawi, L., & Al-Wadi, B. (2012). Public–private partnerships: Theoretical and practical framework. Dar Al-Hamid for Publishing and Distribution.

Salman, O. (2012). Legal framework for public–private partnership (PPP) contracts. In The legal framework for public–private partnership contracts and arbitration in related disputes. Arab Organization for Administrative Development.

United Nations. (1998). Public–private partnership: A new concept for infrastructure development. Economic Commission for Europe.

International Monetary Fund. (2004). Public–private partnerships. Fiscal Affairs Department.

Burhan, S. (2008). Public–private partnership contracts in the French legal system. In Public–private partnership contracts. Arab Organization for Administrative Development.

Egyptian Law Regulating Private Sector Participation, Law No. 67 of 2010. Official Gazette, No. 19 (Extraordinary A).

Sultanate of Oman. (2019). Public–private partnership law, issued pursuant to Royal Decree No. 130/2019.

Jordanian Public–Private Partnership System No. 23 of 2021.

Omani Ministry of Health. (2025). Basma Al-Shifa Project. Muscat Governorate.

Sultanate of Oman. (2019). Public–private partnership law, issued pursuant to Royal Decree No. 130/2019.

Dekrouri, M. (2008). A study on public–private partnerships with a focus on the Egyptian experience. Ministry of Finance, Research and Finance Department.

Hamash, A., & Al-Marashdeh, Y. (2008). Partnership contracts and state sovereignty. In Public–private partnership contracts. Arab Organization for Administrative Development.

Jordanian Public–Private Partnership System No. 23 of 2021.

Sultanate of Oman. (n.d.). Medical City Project (Al-Buraimi–Barka).

Department of Health – Abu Dhabi. (2019). MyMelfi digital health platform.

Muscat Private Hospital & QPAY. (2025). Healthcare digital payment partnership agreement.

Fathallah, B. (2024). The role of artificial intelligence in achieving sustainable development. Al-Haq Journal for Sharia and Legal Sciences, 121–122.

Abdel-Baset, T., & Al-Sayed, M. (2025). Artificial intelligence and planning for improving the quality of healthcare in university medical centers. Journal of Social and Applied Sciences, 6(2), 464.

Bouguerra, S. (2024). Harnessing artificial intelligence technologies to develop healthcare: The case of Algerian doctors. Qabas Journal for Human and Social Studies, 8(2), 803.

Turan, T. (2025). Legal and ethical issues in healthcare, 17–41.

Beltrán, S. (2025). Artificial intelligence and making of contracts, 381–389.

Herbosch, M., & Claes, H. (2023). Artificial intelligence and contractual liability limitations: A natural combination? European Review of Private Law, 31(2/3), 469–496.

García Majado, P. (2025). Los sistemas automatizados en el ordenamiento jurídico: Tipos de programación, riesgos y control. Revista de Derecho Político, 123, 147–178.

Aduloju, T. D., Okare, B. P., Omolayo, O., Afuwape, A. A., & Frempong, D. (2023). Big data-enabled predictive compliance frameworks for procurement risk management in emerging and high-regulation markets. International Journal of Multidisciplinary Research and Growth Evaluation, 4(3), 1143–1154.

Aduloju, T. D., Okare, B. P., Omolayo, O., Afuwape, A. A., & Frempong, D. (2023). Big data-enabled predictive compliance frameworks for procurement risk management in emerging and high-regulation markets. International Journal of Multidisciplinary Research and Growth Evaluation, 4(3), 1143–1154.

Herbosch, M., & Claes, H. (2023). Artificial intelligence and contractual liability limitations: A natural combination? European Review of Private Law, 31(2/3), 469–496.

Awang, N. A. (2024). Contract law and artificial intelligence: Examine the implications of AI on contract negotiation and execution, including the challenges of automated contracting. International Journal of Academic Research in Business & Social Sciences, 14(11).

Zięba, B. (2024). AI Act and public procurement law – an opportunity or threat. Teka Komisji Prawniczej PAN Oddział w Lublinie/Teka Komisji Prawniczej, 17(2), 625–635.

Published

2026-02-16

How to Cite

Al Adwan, M. (2026). Employing AI Technologies in Drafting Public–Private Partnership Contracts in the Field of Healthcare Improvement. Qubahan Academic Journal, 6(1), 370–383. https://doi.org/10.48161/qaj.v6n1a2287

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Section

Articles