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PaFloChar: An Innovating Approach to Characterise Patient Flows in Myocardial Infarction
Chapitre d'ouvrage   Open Access

PaFloChar: An Innovating Approach to Characterise Patient Flows in Myocardial Infarction

Jessica Pinaire, Jérôme Azé, Sandra Bringay, Pascal Poncelet, Christophe Genolini et Paul Landais
Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth, Vol.247, pp.391-395
Studies in Health Technology and Informatics
MIE: Medical Informatics Europe (Goteborg, Sweden, 24/04/2018–26/04/2018)
2018

Résumé

Prospective Payment System Myocardial Infarction Healthcare Trajectories Patient Flows Longitudinal Data Spatio-temporal Pattern Mining
A better knowledge of patient flows would improve decision making in health planning. In this article, we propose a method to characterise patients flows and also to highlight profiles of care pathways considering times and costs. From medico-administrative data, we extracted spatio-temporal patterns. Then, we clustered time between hospitalisations and cost trajectories in order to identify profiles of change over time. This approach may support renewed management strategies.

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