ArticleJMIR mHealth and uHealth2019
Language Translation Apps in Health Care Settings: Expert Opinion.
Article in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 3 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
52 citing papers in PubMed, 3 syntheses or guidelines pooled it, 120 citations in OpenAlex.
- Older Migrant Patients and Health Care Professionals' Experiences With Digital Translation Tools in Care Interactions: A Qualitative Literature Review.Journal of transcultural nursing : official journal of the Transcultural Nursing Society · 2025Pooled it
- Usability of technological tools to overcome language barriers in healthcare- a scoping review.Archives of public health = Archives belges de sante publique · 2025Pooled it
- Exploring the use of mobile translation applications for culturally and linguistically diverse patients during medical imaging examinations in Australia - a systematic review.Journal of medical radiation sciences · 2024Pooled it
- The development of a technologic approach to improve access to individualized clinical documentation in caregivers' preferred language.PLOS digital health · 2026Article
- Japan's Nursing Workforce as Health System Security: From Silent Brain Drain to Brain Circulation.JMA journal · 2026Article
- Exploring the use of translation technologies to overcome language barriers in mental healthcare: a qualitative cross-country study.International journal for equity in health · 2026Article
- Comprehension of medication-related information translated from Japanese to Southeast Asian Languages using google translate.Journal of pharmaceutical health care and sciences · 2026Article
- PPI in LifeMap-QUEST: an example of co-producing videos in different languages to support inclusion in a clinical study.Research involvement and engagement · 2026Article
- The patient-safety implications of AI-based communication with migrants in general practice: a scoping review.BJGP open · 2025Article
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- Challenges and Opportunities in Delivering and Providing Culturally and Linguistically Tailored Cardiovascular Disease and Stroke Prevention Education: A Qualitative Exploratory Study.Health expectations : an international journal of public participation in health care and health policy · 2025Article
- Digital Translation Platform (Translatly) to Overcome Communication Barriers in Clinical Care: Pilot Study.JMIR formative research · 2025Article
- Midwives' perceptions of communication at antenatal care using a bilingual digital dialog support tool- a qualitative study.BMC pregnancy and childbirth · 2025Article
- Use of Remote Assessment Tools to Substitute Routine Outpatient Care: Scoping Review.Journal of medical Internet research · 2025Article
- Artificial Intelligence-Driven Translation Tools in Intensive Care Units for Enhancing Communication and Research.International journal of environmental research and public health · 2025Review
- Legal, ethical, and policy challenges of artificial intelligence translation tools in healthcare.Discover public health · 2025Review
- Knocking for gold. How long must I? A survey report on international students seeking healthcare in Hungary.Frontiers in public health · 2025Article
- Exploring the potential of artificial intelligence to enhance the writing of english academic papers by non-native english-speaking medical students - the educational application of ChatGPT.BMC medical education · 2024Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCurrently, over 300 languages are spoken in Australian homes. People without proficient English from non-English speaking countries may not receive equitable care if their health care workers do not speak their primary language. Use of professional interpreters is considered the gold standard; however, for a variety of reasons, it is often limited to key aspects of care such as diagnosis and consent. With the emergence of mobile technologies, health care workers are increasingly using digital translation tools to fill this gap. However, many of these technologies have not been developed for health care settings and their use has not been evaluated.
objectiveThis study aimed to evaluate iPad-compatible language translation apps to determine their suitability for enabling everyday conversations in health care settings.
methodsTranslation apps were identified by searching the Apple iTunes Store and published and grey literature. Criteria for inclusion were that the apps were available at no cost, able to translate at least one of the top 10 languages spoken in Australia, and available for use on iPad. Apps that met inclusion criteria were reviewed in 2 stages. Stage 1 was the feature analysis conducted by 2 independent researchers, where apps were evaluated for offline use, input and output methods, and number of languages. Stage 2 was the analysis of suitability for everyday communication in the health care setting, conducted by 2 independent professionals with expertise in translation and cross-cultural communication. Apps that enabled key aspects of care normally within the realm of professional interpreters, such as assessment, treatment and discharge planning, and seeking consent for medical treatments, were considered unsuitable.
resultsIn total, 15 apps were evaluated. Of these, 8 apps contained voice-to-voice and voice-to-text translation options. In addition, 6 apps were restricted to using preset health phrases, whereas 1 app used a combination of free input and preset phrases. However, 5 apps were excluded before stage 2. In addition, 6 of the 10 remaining apps reviewed in stage 2 were specifically designed for health care translation purposes. Of these, 2 apps were rated as suitable for everyday communication in the health care setting-culturally and linguistically diverse Assist and Talk To Me. Both apps contained simple and appropriate preset health phrases and did not contain conversations that are normally within the realm of professional interpreters.
conclusionsAll iPad-compatible translation apps require a degree of caution and consideration when used in health care settings, and none should replace professional interpreters. However, some apps may be suitable for everyday conversations, such as those that enable preset phrases to be translated on subject matters that do not require a professional interpreter. Further research into the use of translation technology for these types of conversations is needed.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.