Authors: Ziqi Yang, Xuhai Xu, Bingsheng Yao, Shao Zhang, Ethan Rogers, Stephen Intille, Nawar Shara, Guodong Gordon Gao, Dakuo Wang

Published on: September 17, 2023

Impact Score: 8.22

Arxiv code: Arxiv:2309.09357

Summary

• What is new: Leveraging LLMs for improving patient-provider communication specific to home-based older adults, using a novel system called Talk2Care.
• Why this is important: Existing communication methods like messaging and phone calls between older adults and healthcare providers are inefficient and prone to information loss.
• What the research proposes: Talk2Care, an LLM-powered communication system with an easy-to-use voice assistant interface for older adults and a dashboard for healthcare providers to efficiently manage and understand health information.
• Results: The system enabled better communication, more comprehensive health information collection from older adults, and saved time and effort for healthcare providers.

Technical Details

Technological frameworks used: Large Language Models (LLMs)

Models used: Talk2Care uses LLMs for both voice assistant interfaces and dashboards for summarization.

Data used: Data from interviews with older adults (N=10) and healthcare providers (N=9); user studies for system evaluation.

Potential Impact

Telehealth service providers, healthcare communication platforms, voice-assistant developers targeting the healthcare industry could benefit or need to adapt.

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