Use of machine translation apps in a clinical context (DigiTools)

With tools available like Google Translate and DeepL, machine translation is now ubiquitous. Translation tools are also used in hospitals and asylum centres to facilitate communication with patients who do not have a sufficient understanding of the local language.

This project is aiming to investigate the possibilities and limitations presented by the use of this technology in medical settings. To this end, a number of small pilot studies have been undertaken with the aim of formulating practical recommendations for the use of these tools.

Results

The results reveal that the use of translation tools and professional interpreters is strongly shaped by their respective strengths and weaknesses.

Translation tools do not require any advance planning and are practical if a solution is required immediately. However, the translation quality is not always reliable. What is more, communicating through a translation device, especially over extended periods of time or when dealing with more complex topics, is often perceived as arduous and time-consuming. Strategies such as using standard language to optimise speech input and asking questions to ensure understanding are essential for successful communication. Translation devices are therefore particularly suitable for spontaneous interactions that cannot be planned and are not very complex.

The greatest disadvantage of professional interpreters lies in the organisational effort involved, as the need for them is often difficult to predict. However, communication via a professional interpreter is often more nuanced and differentiated. Accordingly, professional interpreters are mainly used for planned, lengthy conversations.