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From medico‐administrative databases analysis to care trajectories analytics: an example with the French SNDS
Author(s) -
Drezen Erwan,
Guyet Thomas,
Happe André
Publication year - 2018
Publication title -
fundamental and clinical pharmacology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.655
H-Index - 73
eISSN - 1472-8206
pISSN - 0767-3981
DOI - 10.1111/fcp.12323
Subject(s) - abstraction , computer science , raw data , trajectory , process (computing) , analytics , database , data mining , data science , programming language , philosophy , physics , epistemology , astronomy
Medico‐administrative data like SNDS ( Système National de Données de Santé ) are not collected initially for epidemiological purposes. Moreover, the data model and the tools proposed to SNDS users make their in‐depth exploitation difficult. We propose a data model, called the ePEPS model, based on healthcare trajectories to provide a medical view of raw data. A data abstraction process enables the clinician to have an intuitive medical view of raw data and to design a study‐specific view. This view is based on a generic model of care trajectory, that is a sequence of time stamped medical events for a given patient. This model is combined with tools to manipulate care trajectories efficiently.