Evaluation of Commercially Available Machine Interpretation Applications for Simple Clinical Communication

Lee, Won; Khoong, Elaine C.; Zeng, Billy; Ríos-Fetchko, Francine; Ma, Yingying; Liu, Kirsten; Fernández, Alicia

doi:10.1007/s11606-023-08079-6

Cited by 3 publications

(2 citation statements)

References 21 publications

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“…Some providers use Google translate or other publicly available language translation services. However, studies have shown that the quality of translation is error prone and pose a patient safety risk (Lee et al, 2023;Taira et al, 2021). New technology for high fidelity on-demand translation for hospital discharge and other novel solutions that can overcome this barrier should be a priority for researchers.…”

Section: Translationmentioning

confidence: 99%

Linguistic and Cultural Competence at Hospital Discharge

Austad,

Jack

2023

Journal of Healthcare Management Standards

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Hospital discharge is one of the most vulnerable moments in a patient's experience of care. One relatively unexplored area to improving transitions of care is how to meet the needs of diverse populations in a growing multicultural world. The intersectionality of language, race, ethnicity, and culture adds an additional layer of complexity to the hospital discharge process and raises the already high risk of communication failures. This article aims to review the role of language, race, ethnicity, and culture during the hospital discharge process; to discuss potential solutions to improve discharge outcomes amongst diverse populations; and to identify priority areas for future research.

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Section: Translationmentioning

confidence: 99%

Linguistic and Cultural Competence at Hospital Discharge

Austad,

Jack

2023

Journal of Healthcare Management Standards

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“…38 Most studies (both before and after introduction of NMT) have evaluated the translation accuracy of scripted text or speech. [39][40][41][42] Very few studies have been conducted using voice-to-voice MT in natural, unscripted settings, 43,44 conditions that pose additional challenges such as accent and dialect recognition, fast or complex speech, and ambient noise. 45,46 Several authors have suggested that the use of certain speech patterns may reduce the risk of translation errors with voice-to-voice MT (e.g., using short, complete sentences and avoiding technical language and colloquialisms).…”

Section: Introductionmentioning

confidence: 99%

Using Voice-to-Voice Machine Translation to Overcome Language Barriers in Clinical Communication: An Exploratory Study

Hudelson,

Chappuis

2024

J GEN INTERN MED

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Background Machine translation (MT) apps are used informally by healthcare professionals in many settings, especially where interpreters are not readily available. As MT becomes more accurate and accessible, it may be tempting to use MT more widely. Institutions and healthcare professionals need guidance on when and how these applications might be used safely and how to manage potential risks to communication. Objectives Explore factors that may hinder or facilitate communication when using voice-to-voice MT. Design Health professionals volunteered to use a voice-to-voice MT app in routine encounters with their patients. Both health professionals and patients provided brief feedback on the experience, and a subset of consultations were observed. Participants Doctors, nurses, and allied health professionals working in the Primary Care Division of the Geneva University Hospitals, Switzerland. Main Measures Achievement of consultation goals; understanding and satisfaction; willingness to use MT again; difficulties encountered; factors affecting communication when using MT. Key Results Fourteen health professionals conducted 60 consultations in 18 languages, using one of two voice-to-voice MT apps. Fifteen consultations were observed. Professionals achieved their consultation goals in 82.7% of consultations but were satisfied with MT communication in only 53.8%. Reasons for dissatisfaction included lack of practice with the app and difficulty understanding patients. Eighty-six percent of patients thought MT-facilitated communication was easy, and most participants were willing to use MT in the future (73% professionals, 84% patients). Experiences were more positive with European languages. Several conditions and speech practices were identified that appear to affect communication when using MT. Conclusion While professional interpreters remain the gold standard for overcoming language barriers, voice-to-voice MT may be acceptable in some clinical situations. Healthcare institutions and professionals must be attentive to potential sources of MT errors and ensure the conditions necessary for safe and effective communication. More research in natural settings is needed to inform guidelines and training on using MT in clinical communication.

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Adopting machine translation in the healthcare sector: A methodological multi-criteria review

Zappatore,

Ruggieri

2024

Computer Speech & Language

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Evaluation of Commercially Available Machine Interpretation Applications for Simple Clinical Communication

Cited by 3 publications

References 21 publications

Linguistic and Cultural Competence at Hospital Discharge

Linguistic and Cultural Competence at Hospital Discharge

Using Voice-to-Voice Machine Translation to Overcome Language Barriers in Clinical Communication: An Exploratory Study

Adopting machine translation in the healthcare sector: A methodological multi-criteria review

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