Whether the evidence base supports policy decisions about scalable AI-enabled interventions for frontline health care in low-and middle-income economies is reviewed to show critical gaps that impede informed adoption decisions.
To promote the safe and effective adoption of AI, stronger clinical evidence, structured training programs, and organizational models capable of supporting its implementation are required.
Eugenio Santoro· Recenti progressi in medicin...· 0 citations
This research proposes a framework for the sustainable integration of AI-CDSS into Pakistan's healthcare system, with a focus on scaling solutions to primary care environments such as Basic Health Units and rural health centers.
Huma Ahsan, F. Qazi, Amna Amir Jalal et al.· Liaquat National Journal of...· 0 citations
Early insights from AIM-HI-funded projects to inform real-world AI implementation highlight that implementation success depends on thoughtful integration into clinical environments, strong partnerships with stakeholders, as well as sustained evaluation and monitoring.
I. Ergas, H. Clancy, Thomas Wang et al.· The Permanente Journal· 0 citations
Effective use of AI-based decision support requires more than technical familiarity; it also demands digital literacy, critical appraisal, and the ability to contextualize AI outputs within individual patient and healthcare settings, which presents both a gap and an opportunity for medical and allied health education.
Darin Jan C. Tindowen, M. L. Batugal, R. J. Acupido et al.· Journal of Primary Care & Co...· 0 citations
Artificial Intelligence (AI) has become an emerging field with the potential to revolutionize the healthcare sector. Despite healthcare digitization, the problem of healthcare access inequalities still exists. For instance, in developing countries, there is often an insufficient number of skilled professionals and heal...
This study aimed to map the literature on patient-facing AI tools in PHC, including study characteristics, tool types, patient-journey stage, AI lifecycle stage, public availability, and health-system outcomes.
Alireza Habibi, Kathleen McMahon, Sian Hsiang-Te Tsuei et al.· BMC Medicine· 0 citations
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