Treffer: Ethical, data security, and resource allocation considerations in AI integration for healthcare during Hajj: task force insights and future directions.

Title:
Ethical, data security, and resource allocation considerations in AI integration for healthcare during Hajj: task force insights and future directions.
Authors:
Sulaiman KA; Pharmaceutical Care Services, King Abdulaziz Medical City, Riyadh, Saudi Arabia; King Abdullah International Medical Research Center, Riyadh, Saudi Arabia; College of Pharmacy, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia; Saudi Critical Care Pharmacy Research (SCAPE) Platform, Riyadh, Saudi Arabia; Saudi Society for Multidisciplinary Research Development and Education (SCAPE Society), Riyadh, Saudi Arabia., Alharthi AF; Department of Clinical Pharmacy, College of Pharmacy, Shaqra University, Al-Dawadmi Campus, Al-Dawadmi 11961, Saudi Arabia., Alqahtani R; Pharmaceutical Care Services, King Abdulaziz Medical City, Riyadh, Saudi Arabia; King Abdullah International Medical Research Center, Riyadh, Saudi Arabia., Aljouie A; King Abdullah International Medical Research Center, Riyadh, Saudi Arabia; Department of Health Informatics, College of Public Health and Health Informatics, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia., Khan A; Global Center for Mass Gatherings Medicine, Ministry of Health, Riyadh, Saudi Arabia; Department of Emergency Medicine, College of Medicine, King Saud University, Saudi Arabia., Al-Jedai A; Alfaisal University, Colleges of Medicine and Pharmacy, Riyadh, Saudi Arabia., Almoeen A; Health Sector Transformation Program (HSTP), Riyadh, Saudi Arabia., Alshennawi M; General Administration of Pharmaceutical Care, Therapeutics Deputyship, Ministry of Health, Saudi Arabia., Badreldin HA; Pharmaceutical Care Services, King Abdulaziz Medical City, Riyadh, Saudi Arabia; King Abdullah International Medical Research Center, Riyadh, Saudi Arabia; College of Pharmacy, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia., Alnasser LA; King Abdullah International Medical Research Center, Riyadh, Saudi Arabia; King Saud bin Abdulaziz University for health sciences, Riyadh, Saudi Arabia., Alshehri AM; Pharmaceutical Care Services, King Abdulaziz Medical City, Riyadh, Saudi Arabia; King Abdullah International Medical Research Center, Riyadh, Saudi Arabia; College of Pharmacy, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia., Alzahrani M; Pharmaceutical Care Services, King Abdulaziz Medical City, Riyadh, Saudi Arabia; King Abdullah International Medical Research Center, Riyadh, Saudi Arabia; College of Pharmacy, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia., Alhaidal HA; College of Pharmacy, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia., Alhajaji R; Makkah Branch of Ministry of Health, Saudi Ministry of Health, Makkah, Saudi Arabia; Sleep Medicine Fellowship, King Saud University Medical City, Riyadh, Saudi Arabia., Alotaibi S; Head of pharmacy, King Faisal Complex for Ministry Health, Taif, Saudi Arabia., Redhwan EZ; Medical Laboratory Sciences Department-MLS Program, Fakeeh College for Medical Sciences, Jeddah 21461, Saudi Arabia; Department of Biochemistry, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia., Alharthi F; Department of Pharmacy, King Abdulaziz Hospital, Makkah, Saudi Arabia., Alghamdi BG; Deputyship of Therapeutic Affairs, Ministry of Health, Riyadh, Saudi Arabia., Alquayt A; Clinical Pharmacy Services, Eradah and Mental Health Complex, Riyadh Third Health Cluster, Ministry of Health (MOH), Riyadh, Saudi Arabia., Aljuhani O; Department of Pharmacy Practice, Faculty of Pharmacy, King Abdulaziz University, Jeddah, Saudi Arabia. Electronic address: oaljuhani@kau.edu.sa.
Source:
International journal of medical informatics [Int J Med Inform] 2026 Jan; Vol. 205, pp. 106123. Date of Electronic Publication: 2025 Sep 25.
Publication Type:
Journal Article; Review
Language:
English
Journal Info:
Publisher: Elsevier Science Ireland Ltd Country of Publication: Ireland NLM ID: 9711057 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-8243 (Electronic) Linking ISSN: 13865056 NLM ISO Abbreviation: Int J Med Inform Subsets: MEDLINE
Imprint Name(s):
Original Publication: Shannon, Co. Clare, Ireland : Elsevier Science Ireland Ltd., c1997-
Contributed Indexing:
Keywords: Artificial Intelligence (AI); Hajj; Healthcare; Mass Gatherings (MGs); data security; ethical considerations; resource allocation
Entry Date(s):
Date Created: 20251004 Date Completed: 20251017 Latest Revision: 20251017
Update Code:
20251018
DOI:
10.1016/j.ijmedinf.2025.106123
PMID:
41045746
Database:
MEDLINE

Weitere Informationen

Background: Hajj represents one of the largest mass gatherings globally, attracting millions of pilgrims annually from various cultural and geographical backgrounds, all coming together to participate in its holy rituals. The unprecedented scale of this event necessitates advanced strategies to ensure safety, and efficiency in resource management. As the use of artificial intelligence (AI) technology becomes increasingly prevalent in managing large-scale gatherings, it raises vital ethical questions regarding privacy, data use, and the risk of mass surveillance. This paper explores the integration of AI during Hajj, with a specific focus on ethical considerations, data security measures, and strategies for allocating limited healthcare and logistical resources.
Methods: A task force was formed consisting of experts, including healthcare providers, AI specialists, and representatives from the Saudi Society for Multidisciplinary Research Development and Education (SCAPE Society), the Saudi Critical Care Pharmacy Research Platform (SCAPE platform), the Saudi Society of Clinical Pharmacy (SSCP), policymakers, and frontline healthcare practitioners involved in Hajj. The task force initially agreed on the framework and voting system, and consensus was achieved through a voting system that required over 80% agreement.
Results: The task force identified key focus areas: 1) AI Ethics: Bias, Fairness, Transparency and Explainability. 2) Ethical Deployment in Hajj Healthcare 3) Data Security Considerations: Key Challenges in Data Security, Advanced Security Measures, and Saudi Arabia's Cybersecurity Framework 4) Resource Allocation Considerations: AI for Dynamic Resource Management, Enhancing Healthcare Supply Chain, and Stakeholder Collaboration. The task force developed a comprehensive set of statements designed to provide direction for future initiatives.
Conclusion: Enhancing the integration of AI in healthcare during mass gatherings neccessitates a strong focus on ethical considerations and data security measures. Addressing ethical concerns is crucial to ensure that AI systems are used responsibly and transparently. Robust protocols for data protection must be implemented to safeguard patient information and maintain trust in healthcare systems.
(Copyright © 2025 Elsevier B.V. All rights reserved.)

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.