Talk2Care: An LLM-based Voice Assistant for Communication between Healthcare Providers and Older Adults
Despite the plethora of telehealth applications to assist home-based older adults and healthcare providers, basic messaging and phone calls are still the most common communication methods, which suffer from limited availability, information loss, and process inefficiencies. One promising solution to...
| Main Authors: | , , , , , , , , |
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| 格式: | 文件 |
| 语言: | English |
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Association for Computing Machinery
2024
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| 在线阅读: | https://hdl.handle.net/1721.1/155210 |
| _version_ | 1826198346347315200 |
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| author | Yang, Ziqi Xu, Xuhai Yao, Bingsheng Rogers, Ethan Zhang, Shao Intille, Stephen Shara, Nawar Gao, Guodong Gordon Wang, Dakuo |
| author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
| author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Yang, Ziqi Xu, Xuhai Yao, Bingsheng Rogers, Ethan Zhang, Shao Intille, Stephen Shara, Nawar Gao, Guodong Gordon Wang, Dakuo |
| author_sort | Yang, Ziqi |
| collection | MIT |
| description | Despite the plethora of telehealth applications to assist home-based older adults and healthcare providers, basic messaging and phone calls are still the most common communication methods, which suffer from limited availability, information loss, and process inefficiencies. One promising solution to facilitate patient-provider communication is to leverage large language models (LLMs) with their powerful natural conversation and summarization capability. However, there is a limited understanding of LLMs' role during the communication. We first conducted two interview studies with both older adults (N=10) and healthcare providers (N=9) to understand their needs and opportunities for LLMs in patient-provider asynchronous communication. Based on the insights, we built an LLM-powered communication system, Talk2Care, and designed interactive components for both groups: (1) For older adults, we leveraged the convenience and accessibility of voice assistants (VAs) and built an LLM-powered conversational interface for effective information collection. (2) For health providers, we built an LLM-based dashboard to summarize and present important health information based on older adults' conversations with the VA. We further conducted two user studies with older adults and providers to evaluate the usability of the system. The results showed that Talk2Care could facilitate the communication process, enrich the health information collected from older adults, and considerably save providers' efforts and time. We envision our work as an initial exploration of LLMs' capability in the intersection of healthcare and interpersonal communication. |
| first_indexed | 2024-09-23T11:03:25Z |
| format | Article |
| id | mit-1721.1/155210 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2025-02-19T04:19:53Z |
| publishDate | 2024 |
| publisher | Association for Computing Machinery |
| record_format | dspace |
| spelling | mit-1721.1/1552102024-12-21T05:51:55Z Talk2Care: An LLM-based Voice Assistant for Communication between Healthcare Providers and Older Adults Yang, Ziqi Xu, Xuhai Yao, Bingsheng Rogers, Ethan Zhang, Shao Intille, Stephen Shara, Nawar Gao, Guodong Gordon Wang, Dakuo Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Despite the plethora of telehealth applications to assist home-based older adults and healthcare providers, basic messaging and phone calls are still the most common communication methods, which suffer from limited availability, information loss, and process inefficiencies. One promising solution to facilitate patient-provider communication is to leverage large language models (LLMs) with their powerful natural conversation and summarization capability. However, there is a limited understanding of LLMs' role during the communication. We first conducted two interview studies with both older adults (N=10) and healthcare providers (N=9) to understand their needs and opportunities for LLMs in patient-provider asynchronous communication. Based on the insights, we built an LLM-powered communication system, Talk2Care, and designed interactive components for both groups: (1) For older adults, we leveraged the convenience and accessibility of voice assistants (VAs) and built an LLM-powered conversational interface for effective information collection. (2) For health providers, we built an LLM-based dashboard to summarize and present important health information based on older adults' conversations with the VA. We further conducted two user studies with older adults and providers to evaluate the usability of the system. The results showed that Talk2Care could facilitate the communication process, enrich the health information collected from older adults, and considerably save providers' efforts and time. We envision our work as an initial exploration of LLMs' capability in the intersection of healthcare and interpersonal communication. 2024-06-06T19:05:17Z 2024-06-06T19:05:17Z 2024-05-13 2024-06-01T07:59:08Z Article http://purl.org/eprint/type/JournalArticle 2474-9567 https://hdl.handle.net/1721.1/155210 Yang, Ziqi, Xu, Xuhai, Yao, Bingsheng, Rogers, Ethan, Zhang, Shao et al. 2024. "Talk2Care: An LLM-based Voice Assistant for Communication between Healthcare Providers and Older Adults." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 8 (2). PUBLISHER_CC en 10.1145/3659625 Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/ The author(s) application/pdf Association for Computing Machinery Association for Computing Machinery |
| spellingShingle | Yang, Ziqi Xu, Xuhai Yao, Bingsheng Rogers, Ethan Zhang, Shao Intille, Stephen Shara, Nawar Gao, Guodong Gordon Wang, Dakuo Talk2Care: An LLM-based Voice Assistant for Communication between Healthcare Providers and Older Adults |
| title | Talk2Care: An LLM-based Voice Assistant for Communication between Healthcare Providers and Older Adults |
| title_full | Talk2Care: An LLM-based Voice Assistant for Communication between Healthcare Providers and Older Adults |
| title_fullStr | Talk2Care: An LLM-based Voice Assistant for Communication between Healthcare Providers and Older Adults |
| title_full_unstemmed | Talk2Care: An LLM-based Voice Assistant for Communication between Healthcare Providers and Older Adults |
| title_short | Talk2Care: An LLM-based Voice Assistant for Communication between Healthcare Providers and Older Adults |
| title_sort | talk2care an llm based voice assistant for communication between healthcare providers and older adults |
| url | https://hdl.handle.net/1721.1/155210 |
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