Janhvi Garg
Vol. 15, Issue 1, Jan-Jun 2023
Abstract:
Artificial intelligence (AI) has the potential to revolutionise patient care and enhance results in the treatment of diabetes, particularly in Malaysia, where the disease is a significant public health concern. However, patient perceptions greatly influence the uptake and efficacy of AI in healthcare. The knowledge gap about these attitudes is addressed in this research. The main objective of this study is to find out how diabetic patients feel about the employment of AI tools and their applications in diabetes management. Additionally, this study looked at how diabetic patients understood and accepted AI. In-depth interviews with seventeen diabetes patients from Hospital Tengku Ampuan Rahimah Klang (HTAR), Malaysia, were conducted as part of this qualitative study. The interview took place between August 8, 2023, and August 22, 2023, for two weeks. Every interview was audio recorded and verbatim transcribed. ATLAS.ti version 8 was then used to code and organise the transcribed material. Thematic analysis was carried out in compliance with accepted data analysis guidelines. Interviews with participants revealed three main themes about the patients' opinions about using AI in diabetes treatment. These topics included perceived need, acceptance, and advantages of using AI tools. Most interviewees said they had a favourable opinion of using AI tools. The results of this study provide the foundation for a theoretical framework that aims to comprehend patients' opinions regarding AI applications in diabetes care, focusing on the social, technological, and health experiences that shape these opinions.
DOI: http://doi.org/10.37648/ijrmst.v15i01.013