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Assessing Health Data Science Internships: A Comprehensive Study at the University of Lille.
Andries, Coline; Ouddarour, Ikram; Saint-Dizier, Chloé; Guinhouya, Benjamin; Lamer, Antoine.
Afiliación
  • Andries C; Univ. Lille, UFR3S - Ingénierie et Management de la Santé, 59000 Lille, France.
  • Ouddarour I; Fédération régionale de recherche en psychiatrie et santé mentale - F2RSM Psy, Hauts-de-France, Saint-André-Lez-Lille, France.
  • Saint-Dizier C; Univ. Lille, UFR3S - Ingénierie et Management de la Santé, 59000 Lille, France.
  • Guinhouya B; Fédération régionale de recherche en psychiatrie et santé mentale - F2RSM Psy, Hauts-de-France, Saint-André-Lez-Lille, France.
  • Lamer A; Univ. Lille, UFR3S - Ingénierie et Management de la Santé, 59000 Lille, France.
Stud Health Technol Inform ; 316: 1529-1533, 2024 Aug 22.
Article en En | MEDLINE | ID: mdl-39176495
ABSTRACT
Data Science emerged as a new cross-disciplinary discipline at the intersection of statistics, computer science, and expertise in a specific domain, such as health and biology. The data science field, alongside other data-related professions, is continuously evolving. We conducted a study examining tasks assigned to first-year internship students pursuing a Master's degree in Health Data Science, exploring the missions, technologies employed and skills required, and internship alignment with students' training through semi-structured interviews with 32 participants. Three quarters of the students were placed in teams within the public sector. Among these entities, there were 11 hospitals and 12 universities. Although the majority of students did their internship as part of a methodological team, they often had a healthcare professional on their team. Nearly half of the missions involved descriptive analysis, followed by 9 missions focused on etiology or prediction and 8 missions on implementing a data warehouse. The majority of students had to perform data management and produce graphs, while only half conducted statistical analysis. The findings highlighted that data management remains a major challenge, and it should be taken into consideration when designing training programs. In future, it remains to determine whether this trend will continue with second-year students or if, with experience, they are more often assigned statistical analyses.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ciencia de los Datos Límite: Humans País/Región como asunto: Europa Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2024 Tipo del documento: Article País de afiliación: Francia Pais de publicación: Países Bajos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ciencia de los Datos Límite: Humans País/Región como asunto: Europa Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2024 Tipo del documento: Article País de afiliación: Francia Pais de publicación: Países Bajos