Title:
Adoption of Artificial Intelligence in Primary Health Care System in Sub-Saharan Africa: Influencing Factors and Emerging Best Practices
Authors:
Yohannes, Filmon N.
Place:
Amsterdam, The Netherlands
Publisher:
KIT (Royal Tropical Institute)
Year:
2025
PAGE:
47
Language:
En
Subject:
Development Cooperation General
Keywords:
Artificial Intelligence (AI), Adoption, Primary Health Care (PHC), Sub-Saharan Africa (SSA), Low and Middle Income Countries (LMICs), and Machine Learning (ML).
Abstract:
Artificial Intelligence (AI) is transforming global healthcare and enhancing decision-making, diagnostics, therapeutics, and resource use. In sub-Saharan Africa (SSA), where primary health care (PHC) systems face workforce shortages and high disease burdens, AI holds great potential. Yet, evidence on adoption remains fragmented and underexplored. This study identifies key factors influencing AI uptake and emerging best practices in PHC across SSA.
Organization:
KIT (Royal Tropical Institute) Vrije Universiteit Amsterdam (VU)
Institute:
KIT Institute
Country:
Sub-Saharan Africa
Training:
Master of Science in Public Health and Health Equity
Category:
research
Right:
© 2025 Yohannes
Document type:
Thesis/dissertation
File:
DeXOVPIIWt_20251216160455960.pdf