AI-driven healthcare innovations for enhancing clinical services during mass gatherings (Hajj): task force insights and future directions
Abstract Background Due to the high complexity of healthcare during mass gatherings (MG), the integration of Artificial Intelligence (AI) might be crucial. AI can enhance healthcare delivery, improve patient care, optimize resources, and ensure efficient management of the large-scale healthcare dema...
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2025-07-01
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| Online Access: | https://doi.org/10.1186/s12913-025-13045-5 |
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| author | Ala’a Alquayt Ohoud Aljuhani Abdullah F. Alharthi Rahaf Alqahtani Anas Khan Ahmed Al-jedai Abdulqader Almoeen Mohammed Alshennawi Hisham A. Badreldin Abdulrhman Aljouie Lubna A. Alnasser Abdulmajeed M. Alshehri Mohammed Y. Alzahrani Haifa A. Alhaidal Raghad Alhajaji Salman Alotaibi Esraa Z. Redhwan Fahad Alharthi Badr G. Alghamdi Khalid Al Sulaiman |
| author_facet | Ala’a Alquayt Ohoud Aljuhani Abdullah F. Alharthi Rahaf Alqahtani Anas Khan Ahmed Al-jedai Abdulqader Almoeen Mohammed Alshennawi Hisham A. Badreldin Abdulrhman Aljouie Lubna A. Alnasser Abdulmajeed M. Alshehri Mohammed Y. Alzahrani Haifa A. Alhaidal Raghad Alhajaji Salman Alotaibi Esraa Z. Redhwan Fahad Alharthi Badr G. Alghamdi Khalid Al Sulaiman |
| author_sort | Ala’a Alquayt |
| collection | DOAJ |
| description | Abstract Background Due to the high complexity of healthcare during mass gatherings (MG), the integration of Artificial Intelligence (AI) might be crucial. AI can enhance healthcare delivery, improve patient care, optimize resources, and ensure efficient management of the large-scale healthcare demands during Hajj. This paper aims to provide an overview of AI utilization specifically during Hajj and explore the potential role of AI-driven tools in healthcare and clinical services provided to pilgrims. Methods A task force was formed and included experts healthcare providers, AI specialists, and members from the Saudi Society for Multidisciplinary Research Development and Education (SCAPE Society), Saudi Critical Care Pharmacy Research (SCAPE) platform, Saudi Society of Clinical Pharmacy (SSCP), policymakers, and frontline healthcare practitioners involved in Hajj. The task force first agreed on the framework and voting system, then organized into teams to draft content for specific domains. Consensus was reached using a voting system requiring over 80% agreement, and all task force members reviewed and finalized the drafts. The selection of AI specialists, policymakers, and frontline healthcare practitioners for the task force was based on their expertise and relevance to healthcare during Hajj. Results The task force identified key focus areas: (1) Patient Care: AI tools for predictive analytics, triage, resource management, and virtual healthcare. (2) Healthcare Providers: AI in medical imaging, care delivery, provider-patient communication, and training. (3) Operational Management: AI for healthcare documentation and reducing administrative burden. (4) Healthcare Systems: AI for early detection and automation during Hajj. The task force constructed ten statements to guide future initiatives. Conclusion Expanding the role of AI in healthcare during MGs will help optimize healthcare outcomes and utilization. Concerns about AI ethics and data security need to be addressed. Additional data is needed to address the gaps in the literature regarding AI's applicability in healthcare services during MGs. |
| format | Article |
| id | doaj-art-3e2b0ff0c90f490a9cd0d46fb22869d4 |
| institution | Kabale University |
| issn | 1472-6963 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | BMC |
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| series | BMC Health Services Research |
| spelling | doaj-art-3e2b0ff0c90f490a9cd0d46fb22869d42025-08-20T04:01:23ZengBMCBMC Health Services Research1472-69632025-07-0125111310.1186/s12913-025-13045-5AI-driven healthcare innovations for enhancing clinical services during mass gatherings (Hajj): task force insights and future directionsAla’a Alquayt0Ohoud Aljuhani1Abdullah F. Alharthi2Rahaf Alqahtani3Anas Khan4Ahmed Al-jedai5Abdulqader Almoeen6Mohammed Alshennawi7Hisham A. Badreldin8Abdulrhman Aljouie9Lubna A. Alnasser10Abdulmajeed M. Alshehri11Mohammed Y. Alzahrani12Haifa A. Alhaidal13Raghad Alhajaji14Salman Alotaibi15Esraa Z. Redhwan16Fahad Alharthi17Badr G. Alghamdi18Khalid Al Sulaiman19Clinical Pharmacy Services, Eradah and Mental Health Complex, Ministry of Health (MOH)Department of Pharmacy Practice, Faculty of Pharmacy, King Abdulaziz UniversityDepartment of Clinical Pharmacy, College of Pharmacy, Shaqra UniversityPharmaceutical Care Services, King Abdulaziz Medical CityDepartment of Emergency Medicine, College of Medicine, King Saud UniversitySaudi Society of Clinical PharmacyHealth Sector Transformation Program (HSTP)Therapeutics Deputyship, General Administration of Pharmaceutical Care, Ministry of HealthPharmaceutical Care Services, King Abdulaziz Medical CityDepartment of Data Managment , King Abdullah International Medical Research CenterDepartment of Population Health, King Abdullah International Medical Research CenterPharmaceutical Care Services, King Abdulaziz Medical CityPharmaceutical Care Services, King Abdulaziz Medical CityCollege of Pharmacy, King Saud Bin Abdulaziz University for Health SciencesMakkah Branch of Ministry of Health, Saudi Ministry of HealthHead of pharmacy, King Faisal Complex for Ministry HealthMedical Laboratory Sciences Department-MLS Program, Fakeeh College for Medical SciencesDepartment of Pharmacy, King Abdulaziz HospitalTherapeutics Deputyship, General Administration of Pharmaceutical Care, Ministry of HealthPharmaceutical Care Services, King Abdulaziz Medical CityAbstract Background Due to the high complexity of healthcare during mass gatherings (MG), the integration of Artificial Intelligence (AI) might be crucial. AI can enhance healthcare delivery, improve patient care, optimize resources, and ensure efficient management of the large-scale healthcare demands during Hajj. This paper aims to provide an overview of AI utilization specifically during Hajj and explore the potential role of AI-driven tools in healthcare and clinical services provided to pilgrims. Methods A task force was formed and included experts healthcare providers, AI specialists, and members from the Saudi Society for Multidisciplinary Research Development and Education (SCAPE Society), Saudi Critical Care Pharmacy Research (SCAPE) platform, Saudi Society of Clinical Pharmacy (SSCP), policymakers, and frontline healthcare practitioners involved in Hajj. The task force first agreed on the framework and voting system, then organized into teams to draft content for specific domains. Consensus was reached using a voting system requiring over 80% agreement, and all task force members reviewed and finalized the drafts. The selection of AI specialists, policymakers, and frontline healthcare practitioners for the task force was based on their expertise and relevance to healthcare during Hajj. Results The task force identified key focus areas: (1) Patient Care: AI tools for predictive analytics, triage, resource management, and virtual healthcare. (2) Healthcare Providers: AI in medical imaging, care delivery, provider-patient communication, and training. (3) Operational Management: AI for healthcare documentation and reducing administrative burden. (4) Healthcare Systems: AI for early detection and automation during Hajj. The task force constructed ten statements to guide future initiatives. Conclusion Expanding the role of AI in healthcare during MGs will help optimize healthcare outcomes and utilization. Concerns about AI ethics and data security need to be addressed. Additional data is needed to address the gaps in the literature regarding AI's applicability in healthcare services during MGs.https://doi.org/10.1186/s12913-025-13045-5HajjArtificial intelligence (AI)Mass gatherings (MGs)HealthcarePredictive analytics |
| spellingShingle | Ala’a Alquayt Ohoud Aljuhani Abdullah F. Alharthi Rahaf Alqahtani Anas Khan Ahmed Al-jedai Abdulqader Almoeen Mohammed Alshennawi Hisham A. Badreldin Abdulrhman Aljouie Lubna A. Alnasser Abdulmajeed M. Alshehri Mohammed Y. Alzahrani Haifa A. Alhaidal Raghad Alhajaji Salman Alotaibi Esraa Z. Redhwan Fahad Alharthi Badr G. Alghamdi Khalid Al Sulaiman AI-driven healthcare innovations for enhancing clinical services during mass gatherings (Hajj): task force insights and future directions BMC Health Services Research Hajj Artificial intelligence (AI) Mass gatherings (MGs) Healthcare Predictive analytics |
| title | AI-driven healthcare innovations for enhancing clinical services during mass gatherings (Hajj): task force insights and future directions |
| title_full | AI-driven healthcare innovations for enhancing clinical services during mass gatherings (Hajj): task force insights and future directions |
| title_fullStr | AI-driven healthcare innovations for enhancing clinical services during mass gatherings (Hajj): task force insights and future directions |
| title_full_unstemmed | AI-driven healthcare innovations for enhancing clinical services during mass gatherings (Hajj): task force insights and future directions |
| title_short | AI-driven healthcare innovations for enhancing clinical services during mass gatherings (Hajj): task force insights and future directions |
| title_sort | ai driven healthcare innovations for enhancing clinical services during mass gatherings hajj task force insights and future directions |
| topic | Hajj Artificial intelligence (AI) Mass gatherings (MGs) Healthcare Predictive analytics |
| url | https://doi.org/10.1186/s12913-025-13045-5 |
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