Expert Insights on Conversational AI Systems as an Information Intermediary for Patients and Healthcare Providers for Diabetes Lifestyle Change

Conference paper (2024)

Authors

P.Y. Chen Interactive Intelligence - EEMCS
M. Birna van Riemsdijk University of Twente
M.L. Tielman Interactive Intelligence - EEMCS
Research Group
Interactive Intelligence (EEMCS) (TU Delft)
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Published Date

2024

Language

English

Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Intelligent Systems

Research Group

Interactive Intelligence

Abstract

This paper explores the potential of conversational intermediary AI (CIAI) between patients and healthcare providers, focusing specifically on promoting healthier lifestyles for Type 2 diabetes. CIAI aims to address the constraint of limited healthcare provider time by acting as an intermediary in-between infrequent consultations. CIAI enables healthcare providers to understand patients better and offer personalized support. Through an exploratory focus group with healthcare domain experts, we gather insights into CIAI’s envisioned in diabetes care. Our findings highlight the potential benefits of CIAI in diabetes care.