Global Adoption, Promotion, Impact, and Deployment of AI in Patient Care, Health Care Delivery, Management, and Health Care Systems Leadership: Cross-Sectional Survey
AI use in health is global, but the adoption rate varies by geography and individual characteristics. AI adoption communication by executive health care management is poor, as is the level of training of health care staff. To improve AI adoption, management should improve communication with their teams, provide training on AI to their workers, and help individuals understand how AI works. Barriers such as ethical issues around data ownership and use should be addressed. African organizations should be proactive and invest in AI adoption early, so that they are not left behind in the AI revolution.
Authors
- Obinna Ositadimma Oleribe (ORCID: https://orcid.org/0000-0002-9017-894X)
- Olajide Odunayo Sobande (ORCID: https://orcid.org/0000-0001-9577-8330)
- Andrew W. Taylor‐Robinson (ORCID: https://orcid.org/0000-0001-7342-8348)
- Simon D. Taylor‐Robinson (ORCID: https://orcid.org/0000-0002-8811-1834)
- Vetty Agala (ORCID: https://orcid.org/0000-0002-6045-2645)
- Ricardo Izurieta (ORCID: https://orcid.org/0000-0003-1256-5896)
Institutions
- California State University, Dominguez Hills (US)
- Science Exchange (United States) (US)
- Center for Global Health (US)
- VinUniversity (VN)
- Imperial College London (GB)
- Nigerian Institute of Medical Research (NG)
- University of Pennsylvania (US)
- Rivers State University (NG)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-09-28
- DOI
- https://doi.org/10.2196/70805
- Citations
- 2
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.31