Knowledge Resource
Research Summary: Prepared Or Unprepared? Evaluating Healthcare Workforce Readiness for Clinical Adoption of Artificial Intelligence in Nigeria
- Original authors
- Attribution requires verification
- Original source
- arXiv — Computers and Society
- Summary & Analysis prepared by
- Aziz Shuaib Ausi
- Resource type
- Research Summary / Knowledge Resource
- Resource published on AZIZ OS
- 17 September 2026
- Reading time
- 1 min
- Publication type
- Knowledge Resource
- Availability
- Open access
About this Summary & Analysis
AZIZ OS provides independently prepared summaries and analytical interpretations of externally published research and knowledge sources. The underlying works remain attributable to their original authors and rights holders. This resource is intended to improve accessibility and understanding and does not replace the original publication.
A recent study in Nigeria evaluated the healthcare workforce's readiness for clinical adoption of Artificial Intelligence (AI). While awareness of AI in healthcare was high among 761 professionals surveyed, objective knowledge and self-reported preparedness were limited. This suggests significant gaps in education and training are needed to effectively integrate AI technologies into clinical practice.
Why it matters
The successful integration of Artificial Intelligence into healthcare systems globally, particularly in low- and middle-income countries, hinges on workforce readiness. Limited knowledge and preparedness, despite high awareness, pose a significant barrier to leveraging AI's potential benefits for patient care and operational efficiency.
Key insights
- Overall awareness of AI in healthcare among surveyed professionals in Nigeria was high (92.6%).
- Objective knowledge regarding AI and self-reported preparedness for its clinical adoption were limited.
- 40.9% of healthcare professionals reported low or very low knowledge concerning AI in healthcare.
- The study was a cross-sectional evaluation involving 761 healthcare professionals across various disciplines and settings in Nigeria.
- Data collection occurred between December 2025 and March 2026 using a structured, validated questionnaire.
Source
arXiv — Computers and Society — https://arxiv.org/abs/2609.19096
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- Verification ID
- ASA-EXE-2026-00638
- Version
- v1.0 · r0
- Issued
- 17 September 2026
- Resource prepared by
- Aziz Shuaib Ausi
- Resource status
- Research Summary / Knowledge Resource
- Underlying work
- Prepared Or Unprepared? Evaluating Healthcare Workforce Readiness for Clinical Adoption of Artificial Intelligence in Nigeria
- Original authors
- Attribution requires verification
- Original source
- arXiv — Computers and Society
- Provenance status
- Attribution requires verification
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- Underlying publication rights remain with the respective copyright holder(s). Refer to the original source for authoritative publication and licensing information.
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