| アイテムタイプ |
共通アイテムタイプ(1) |
| 公開日 |
2025-02-05 |
| タイトル |
|
|
タイトル |
Toward Extracting Care Records from Transcriptions of Visiting Nurses Using Large Language Models |
|
言語 |
en |
| 著者 |
Defry Hamdhana,
Harada, Kazumasa
Oshita, Hitomi
Sakashita, Satomi
井上, 創造
|
| 著作権関連情報 |
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|
権利情報 |
Copyright (c) 2024 Author |
| 著作権関連情報 |
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|
権利情報Resource |
https://creativecommons.org/licenses/by/4.0/deed.ja |
|
権利情報 |
This article is licensed under a Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/deed.ja |
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
In this paper, we provide prompts to extract values or short texts for body temperature, appetite, daily activities, and mental state from automated transcripts of nurses’ words. However, because the conversation is intended to be as relaxed as possible, there are challenges in summarizing these dialogues into specific information that matches the care records. For example, some information in the transcript does not clearly convey certain information. In response to these challenges, we propose using Large Language Models (LLMs) to extract transcript information related to care records automatically. This paper investigates the effectiveness of LLMs in automatically identifying and extracting relevant care record information from communication sessions through automated transcription, with the ultimate goal of simplifying the documentation process and improving the quality of services provided to the elderly population. As a result, the prompts we generate for compact output types, such as body temperature and appetite, produce outputs that closely match the ground truth data. In thirteen documents tested with this prompt, eight of them both body temperature and appetite, produced information that was in line with ground truth. |
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言語 |
en |
| 備考 |
|
|
内容記述タイプ |
Other |
|
内容記述 |
6th International Conference on Activity and Behavior Computing, ABC2024, May 28-31, 2024, Nakatsu and Kitakyushu, Kyushu, Japan (Hybrid) |
|
言語 |
en |
| 書誌情報 |
en : International Journal of Activity and Behavior Computing
巻 2024,
号 2,
p. 1-17,
発行日 2024-06-13
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| 出版社 |
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出版者 |
九州工業大学ケアXDXセンター |
|
言語 |
en |
| 言語 |
|
|
言語 |
jpn |
| 資源タイプ |
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|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
journal article |
| 出版タイプ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| DOI |
|
|
|
識別子タイプ |
DOI |
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|
関連識別子 |
https://doi.org/10.60401/ijabc.19 |
| ISSN |
|
|
収録物識別子タイプ |
EISSN |
|
収録物識別子 |
2759-2871 |
| 会議記述 |
|
|
|
会議名 |
6th International Conference on Activity and Behavior Computing, ABC2024 |
|
|
言語 |
en |
|
回次 |
6 |
|
|
開始年 |
2024 |
|
|
開始月 |
05 |
|
|
開始日 |
28 |
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|
終了年 |
2024 |
|
|
終了月 |
05 |
|
|
終了日 |
31 |
|
開催国 |
JPN |
| 研究者情報 |
|
|
URL |
https://hyokadb02.jimu.kyutech.ac.jp/html/140_ja.html |
| 論文ID（連携） |
|
|
値 |
10444553 |
| 連携ID |
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|
値 |
12750 |
10444553.pdf (1.1 MB)
