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Opportunities & Issues Arising from the Adoption of AI-Powered Translation Tools in the Healthcare Sector
https://hsuh.repo.nii.ac.jp/records/2000593
https://hsuh.repo.nii.ac.jp/records/200059378aef960-a34c-4a29-a5da-b6891ae9cab8
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
Opportunities & Issues Arising from the Adoption of AI-Powered Translation Tools in the Healthcare Sector (881.3 KB)
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| Item type | 紀要論文 / Departmental Bulletin Paper(1) | |||||||
|---|---|---|---|---|---|---|---|---|
| 公開日 | 2026-02-13 | |||||||
| タイトル | ||||||||
| タイトル | Opportunities & Issues Arising from the Adoption of AI-Powered Translation Tools in the Healthcare Sector | |||||||
| 言語 | en | |||||||
| 言語 | ||||||||
| 言語 | eng | |||||||
| 著者 |
Shaun, HOGGARD
× Shaun, HOGGARD
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| キーワード | ||||||||
| 言語 | en | |||||||
| 主題Scheme | Other | |||||||
| 主題 | healthcare | |||||||
| キーワード | ||||||||
| 言語 | en | |||||||
| 主題Scheme | Other | |||||||
| 主題 | AI | |||||||
| キーワード | ||||||||
| 言語 | en | |||||||
| 主題Scheme | Other | |||||||
| 主題 | communication | |||||||
| 資源タイプ | ||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||
| 資源タイプ | departmental bulletin paper | |||||||
| アクセス権 | ||||||||
| アクセス権 | open access | |||||||
| アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||||
| 抄録 | ||||||||
| 内容記述タイプ | Abstract | |||||||
| 内容記述 | Language barriers remain a major obstacle to equitable healthcare, particularly in multilingual and multicultural societies. AI-powered translation tools, including general platforms such as Google Translate and specialized medical systems, are increasingly being used to address these gaps. This paper examines their potential and limitations, with a focus on the Japanese context. Evidence indicates that these technologies offer clear benefits: rapid and scalable communication, improved access in rural or resource-limited settings, and enhanced efficiency through integration with electronic health records and telemedicine. Patients report greater empowerment, and institutions may reduce reliance on costly interpreter services. However, challenges persist. Current systems often misinterpret complex, technical, or culturally nuanced conversations, raising risks for patient safety. Ethical concerns regarding privacy, accountability, and trust also remain. A hybrid model combining AI tools with human interpreters offers the most effective path forward, positioning AI translation as a complement rather than a replacement in clinical practice. | |||||||
| 言語 | en | |||||||
| bibliographic_information |
ja : 北海道医療大学看護福祉学部紀要 en : Health Sciences University of Hokkaido Journal of nursing and social services 号 32, p. 1-6, 発行日 2025-12-22 |
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| item_10002_source_id_9 | ||||||||
| 収録物識別子タイプ | ISSN | |||||||
| 収録物識別子 | 13404709 | |||||||
| 出版タイプ | ||||||||
| 出版タイプ | VoR | |||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||
