Access to healthcare profoundly impacts the health and quality of life of Deaf people. Automatic translation tools are crucial in improving communication between Deaf patients and their healthcare providers. The aim of this chapter is to present the pipeline used to create the Swiss-French Sign Language (LSF-CH) version of BabelDr, a speech-enabled fixed phrase translator that was initially conceived to improve communication in emergency settings between doctors and allophone patients (Bouillon et al., 2021). In order to do so, we start off by explaining how we ported BabelDr in LSF-CH using both human and avatar videos. We first describe the creation of a reference corpus consisting of video translations done by human translators, then we present a second corpus of videos generated with a virtual human. Finally, we relate the findings of a questionnaire on Deaf users’ perspective on the use of signing avatars in the medical context. We showed that, although respondents prefer human videos, the use of automatic technologies associated with virtual characters is not without interest to the target audience and can be useful to them in the medical context.