Design and Evaluation of an AI-DrivenPersonalized Mobile App to Provide MultifacetedHealth Support for Type 2 Diabetes Patients inChina

TL;DR

This study presents an AI-powered mobile app designed to enhance communication, understanding, and self-management for Type 2 diabetes patients in China, demonstrating improved outcomes and potential to reduce urban-rural healthcare disparities.

Contribution

The paper introduces a novel AI-driven, multi-functional mobile app tailored for Chinese Type 2 diabetes patients, integrating real-time transcription, medical interpretation, and health tracking.

Findings

Improved patient-provider communication efficiency

Enhanced patient understanding and knowledge retention

Potential to reduce urban-rural healthcare access gap

Abstract

Type 2 diabetes patients in China face many significant challenges in patient-provider communication and self management In light of this, this work designed,implemented,and evaluated an AI-driven, personalized, multi-functional mobile app system named T2MD Health. The appintegrates real-time patient- provider conversation transcription,medical terminology interpretation, daily health tracking, and adata-driven feedback loop. We conducted qualitative interviewswith 40 participants to study key user needs before systemdevelopment and a mixed- method controlled experiment with 60participants after to evaluate the effectiveness and usability ofthe app. Evaluation results showed that the app was effective inimproving patient-provider communication efficiency, patientunderstanding and knowledge retention,and patient selfmanagement, Patient feedback also revealed that the app has thepotential to address the urban-rural gap in the access to medica!consultation services to some extent, Findings ofthis study couldinform future studies that seek to utilize mobile apps andartificial intelligence to support patients with chronic diseases.