From clinical data management to clinical data science: Time for a new educational model.
Journal
Clinical and translational science
ISSN: 1752-8062
Titre abrégé: Clin Transl Sci
Pays: United States
ID NLM: 101474067
Informations de publication
Date de publication:
08 2023
08 2023
Historique:
revised:
03
05
2023
received:
12
03
2023
accepted:
04
05
2023
medline:
18
8
2023
pubmed:
17
8
2023
entrez:
17
8
2023
Statut:
ppublish
Résumé
The purpose of this article is to propose and provide a blueprint for a graduate-level curriculum in clinical data science, devoted to the measurement, acquisition, care, treatment, and inferencing of clinical research data. The curriculum presented here contains a series of five required core courses, five required research courses, and a list of potential electives. The coursework draws from but does not duplicate content from the foundational areas of biostatistics, clinical medicine, biomedical informatics, and regulatory affairs, and may be reproduced by any institution interested in and capable of offering such a program. This new curriculum in "clinical" data science will prepare students for work in academic, industry, and government research settings as well as offer a unifying knowledge base for the profession.
Identifiants
pubmed: 37587756
doi: 10.1111/cts.13545
pmc: PMC10432862
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1340-1351Informations de copyright
© 2023 The Author. Clinical and Translational Science published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics.
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