From medico‐administrative databases analysis to care trajectories analytics: an example with the French SNDS

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 he...

Full description

Saved in:
Bibliographic Details
Published inFundamental & clinical pharmacology Vol. 32; no. 1; pp. 78 - 80
Main Authors Drezen, Erwan, Guyet, Thomas, Happe, André
Format Journal Article
LanguageEnglish
Published England Wiley Subscription Services, Inc 01.02.2018
Wiley
Subjects
Artificial Intelligence
chronicle mining
Computer Science
Data models
Epidemiology
Exploitation
Health care
healthcare trajectory
Human health and pathology
Life Sciences
Pharmacology
SNDS
Trajectory analysis
chronicle mining
SNDS
healthcare trajectory
Online AccessGet full text

Cover

More Information
Summary: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 ion 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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0767-3981
1472-8206
DOI:10.1111/fcp.12323