Advancements in digital technology have transformed higher education and healthcare globally. Artificial intelligence (AI), encompassing robotics, chatbots, and data analytics, is increasingly integrated into health services within academic institutions. However, AI adoption in Nigerian teaching hospitals remains in its early stages compared to developed countries. This study explores AI adoption strategies in Nigerian teaching hospitals, its impact on service delivery, and challenges encountered. Employing a descriptive survey design with a qualitative approach, the research utilizes asynchronous structured interviews and direct calls with hospital managers. Their experiences were thematically analyzed to identify key insights on AI integration. Preliminary findings suggest AI enhances patient data accessibility, improves service efficiency, and streamlines administrative processes. The study examines how automation and data analytics contribute to record management and overall hospital efficiency, linking AI adoption to improved healthcare delivery. By analyzing hospital managers' experiences, this research provides insights into the opportunities and barriers to AI adoption in Nigerian teaching hospitals. The findings contribute to discussions on digital transformation in African healthcare and offer practical recommendations for hospital administrators and policymakers to optimize AI for improved service efficiency.

Authors:
Richard Olalekan Arogunjo, Lagos State University College of Medicine, Nigeria
Adeoye Augustine Bamgbose, Lagos State University College of Medicine, Nigeria

About the Presenter(s)
Richard Olalekan Arogunjo is the head of ICT at the Lagos State University College of Medicine, Nigeria. His expertise includes electronic medical records, health information management systems, and electronic resources.

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https://www.linkedin.com/in/richard-arogunjo-a85a74172

Connect on ResearchGate
https://www.researchgate.net/profile/Richard-Arogunjo?ev=hdr_xprf

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