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Patient Experiences with Artificial Intelligence-Based Smartwatch for Diabetes Medication Monitoring Service

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KMID : 0123520220290010050
À̹̼± ( Lee Mi-Sun ) - Gangneung-Wonju National University College of Health and Welfare Department of Nursing

Á¤¼ö¿ë ( Jeong Su-Yong ) - Gangneung-Wonju National University College of Health and Welfare Department of Nursing
ÀÌÈÖ¿ø ( Lee Hwi-Won ) - InHandPlus

Abstract

Purpose: This qualitative study aimed to explore the experiences of patients with diabetes provided with medicationmonitoring using an artificial intelligence-based smartwatch.

Methods: Giorgi's descriptive phenomenological methodologywas applied to collect and analyze data from November 9 to December 23, 2021. The study samples were recruitedby convenience sampling, and even patients with diabetes participated in in-depth interviews via video conference andtelephone calls or face-to-face visits.

Results: Ten sub-themes and four themes were finally revealed. The four themeswere as follows: journey with unfamiliar devices, a less-than-acceptable smartwatch, insufficient functions and contentfor patients with diabetes to use, and efforts for regular medication behaviors and daily monitoring of patient¡¯s healthconditions.

Conclusion: To effectively manage diabetic conditions using digital healthcare technologies, nursinginterventions were needed to identify personal needs and consider technological, psychological, aesthetic, andsocioeconomic aspects of wearable devices.
KeyWords

Diabetes mellitus, Medication adherence, Artificial intelligence, Wearable electronic devices
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