English for specific purposes in the medical sciences to strengthen the professional profile of the higher education medicine student: a knowledge representation using SuperHyperSoft Sets

Abstract

The English language is an important added value for the professional profile of students in all higher education courses due to the demands of the current century, in which mastering more than one language is undoubtedly one of the preponderant skills to access better and more opportunities within the workplace, especially in careers such as medicine. Therefore, the curricular design and the implementation of a program focused on the development of the linguistic skills of the future health professional is pertinent and necessary to strengthen their professional profile; not only in the discourse at the level of talks, congresses, training, and international participation where English is the official communicative language; but also at the level of research as one of the fundamental pillars of this career because most of the high-impact medical bibliography is developed and available in English. The present study proposes the strengthening of English for specific purposes in medical students through the implementation of a lexicographic material that provides them with the definition and pronunciation in English of the most prevalent medical vocabulary in this field, as well as its translation into Spanish, which would significantly increase the professional skills of future doctors. The present research proposal is also justified by the fact that many medical students did not have advanced preparation in the English language at school, which is why the proposed lexicographic material would represent an added complementary value to the curricular programming of this subject, which would help to make the learning of English viable in a much more specific and contextualized way in this branch of science, an important aspect given the substantial need to be able to communicate both locally and internationally. This paper proposes a model where medical terms are organized in English and Spanish using the theory of SuperHyperSoft Sets. The importance of the model is that it allows this knowledge to be automated so that students can access it easily. Additionally, it deals with ambiguity in medical definitions, as well.