Exploring Patient Attitude on Adoption of Artificial Intelligence in Diabetes Care

ABSTRACT:

The adoption of Artificial intelligence (AI) into diabetic care has a potential to improve patient management especially in Nigeria, where diabetes poses a serious health challenge. The effectiveness of AI in patient management significantly depends on patient attitude. The paper addresses the gap in understanding the attitude of diabetic patients toward AI. The aim is to study the perspective of patient on the use of AI technologies and applications in managing diabetes. This study examines the patterns of acceptance and understanding of AI among diabetic patients. Qualitative data using interview with diabetic patient at diabetic clinic of Federal Teaching Hospital Gombe, was collected. Thematic analysis was performed in accordance with established standard for data analysis. The data revealed three central themes related to their attitudes toward the use of artificial intelligence in managing diabetes which are perceived acceptability, recognized advantages of AI tools, and the perceived necessity for such technologies. Most participants shared favorable opinions about incorporating AI into diabetes care. These results provide a foundation for developing a theoretical model to better understand how patients view AI in this context, highlighting the influence of their health experiences, technological familiarity, and social factors.

Keywords: Artificial Intelligence, Diabetes, Health management, Patient attitude