Patient Perceptions toward the Application of Artificial Intelligence in Diabetes Care: A Qualitative Study

Abstract

Introduction: Diabetes continues to escalate globally, prompting a search for more efficient methods to manage and treat affected individuals. Exploring the considerable potential of artificial intelligence (AI) in healthcare is one such avenue. Despite increasing global AI investment in diabetes care, patient perspectives on this technology lack sufficient research attention. Our study aims to fill this knowledge gap. In this qualitative study, we examined patient perceptions and attitudes toward the use of AI in diabetes care. Methods: Qualitative content analysis method was used to collect the data from 17 diabetes patients in Hospital Tengku Ampuan Rahimah Klang, Malaysia over a 2-week period in August 2023. The analysis of the qualitative data was undertaken with ATLAS.ti using a thematic content analysis process. Results: Seven themes emerged from the data and key results of the study indicate that opinions toward AI application in diabetic care, which reflect perceptions and attitudes have a positive impact on the implementation of AI in healthcare. Four themes that were related to diabetic patients' perceptions are experience in using technology and apps, awareness of AI tools, beliefs about technology, and trust in AI tools. Meanwhile, three themes that were associated with diabetic patients' attitudes and perceived acceptability, perceived need, and perceived benefit of using AI tools. Conclusion: The results of this study form the basis for a theoretical framework for understanding patients positioning to applications of AI in diabetic care, highlighting health, technological, and social experiences that shape their opinions about AI applications in diabetic care.