Master's Degree in Health Data Science: Implementation and Assessment After Five Years.


Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
31 Aug 2022
Historique:
entrez: 8 9 2022
pubmed: 9 9 2022
medline: 11 9 2022
Statut: ppublish

Résumé

Health data science is an emerging discipline that bridges computer science, statistics and health domain knowledge. This consists of taking advantage of the large volume of data, often complex, to extract information to improve decision-making. We have created a Master's degree in Health Data Science to meet the growing need for data scientists in companies and institutions. The training offers, over two years, courses covering computer science, mathematics and statistics, health and biology. With more than 60 professors and lecturers, a total of 835 hours of classes (not including the mandatory 5 months of internship per year), this curriculum has enrolled a total of 53 students today. The feedback from the students and alumni allowed us identifying new needs in terms of training, which may help us to adapt the program for the coming academic years. In particular, we will offer an additional module covering data management, from the edition of the clinical report form to the implementation of a data warehouse with an ETL process. Git and application lifecycle management will be included in programming courses or multidisciplinary projects.

Identifiants

pubmed: 36073455
pii: SHTI220906
doi: 10.3233/SHTI220906
doi:

Types de publication

Journal Article

Langues

eng

Pagination

51-55

Auteurs

Antoine Lamer (A)

Univ. Lille, UFRS, ILIS, F-59000, Lille, France.
Univ. Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des Technologies de santé et des Pratiques médicales, F-59000 Lille, France.

Naima Oubenali (N)

Univ. Rennes1, LTSI, Laboratoire Traitement du Signal et de l'Image F-35000, Rennes, France.

Romaric Marcilly (R)

Univ. Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des Technologies de santé et des Pratiques médicales, F-59000 Lille, France.

Mathilde Fruchart (M)

Univ. Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des Technologies de santé et des Pratiques médicales, F-59000 Lille, France.

Benjamin Guinhouya (B)

Univ. Lille, UFRS, ILIS, F-59000, Lille, France.
Univ. Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des Technologies de santé et des Pratiques médicales, F-59000 Lille, France.

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