Background:
Primary health care (PHC) is recognized globally as the cornerstone for achieving Universal Health Coverage (UHC). Integrating interventions for affordable and efficient primary health care, particularly in low- and middle-income countries (LMICs) can contribute to saving approximately 60 million lives by 2030 (WHO, 2023). Furthermore, innovations such as artificial intelligence (AI) enabled digital health technologies are poised to redefine health care delivery by improving accuracy, saving time and cost, reducing workload for doctors, and enhancing population health management (Alowais et al, 2023). However, the adoption of AI technologies at the PHC level requires thorough consideration of the use cases, efficacy, and cost-effectiveness vis-à-vis ensuring data safety, privacy, and trust architecture. The session will delve into the scope of AI innovations for better PHC access and learn from some of the successful implementation scenarios such as cancer screening, NCDs continuum-of-care, and community centered mental health service delivery.
Objectives: