Prepared Or Unprepared? Evaluating Healthcare Workforce Readiness for Clinical Adoption of Artificial Intelligence in Nigeria
Survey of 761 Nigerian healthcare professionals finds high AI awareness (92.6%) but limited knowledge, preparedness, and major training and infrastructure barriers.
A cross-sectional study of 761 healthcare professionals across Nigeria, conducted from December 2025 to March 2026, found 92.6% awareness of AI in healthcare but 40.9% reporting low knowledge and only 63.0% feeling adequately prepared. Top barriers were lack of training (84.7%), poor infrastructure (71.1%), and high tool costs (61.0%). Willingness to adopt was strong, with 92.5% interested in training and 78.7% supporting AI in undergraduate curricula; preparedness differed significantly across geopolitical zones and professions.
- 92.6% awareness of healthcare AI but 40.9% report low objective knowledge
- Top barriers: lack of training (84.7%) and poor infrastructure (71.1%)
- 92.5% willing to receive training; 78.7% want AI in curricula
- Preparedness varied significantly across geopolitical zones and professions
- Countries
- Nigeria
From the original article
1 min read at arxiv.orgArtificial intelligence (AI) is increasingly integrated into healthcare systems worldwide, yet its successful clinical adoption depends critically on workforce readiness, particularly in low- and middle-income countries (LMICs) where infrastructural and training gaps persist.
By Abbas M. Rabiu · arxiv.org
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