Titre :

PoleSat_2018: an optimized, automated, geomatics IT tool based on a gravitational model: strategic decision support in hospital catchment area planning

Auteur(s) :

QUESNEL-BARBET, Anne [Auteur]
Santé publique : épidémiologie et qualité des soins - EA 2694
Soula, Julien [Auteur]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Gamichon, Mathurin [Auteur]
École polytechnique universitaire de Lille [Polytech Lille]
Ben Gayed, Ismahane [Auteur]
École polytechnique universitaire de Lille [Polytech Lille]
DUFOSSEZ, Francois [Auteur]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Bazile, Pierre [Auteur]
Territoires, Environnement, Télédétection et Information Spatiale [UMR TETIS]
Sauleau, Eric André [Auteur]
Centre Hospitalier Universitaire [Strasbourg] [CHU Strasbourg]
Parrend, Pierre [Auteur]
Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie [ICube]
Hansske, Arnaud [Auteur]
Groupe Hospitalier de l'Institut Catholique de Lille [GHICL]
Bazile, Pierre [Auteur]

Titre de la revue :

SN Applied Sciences

Nom court de la revue :

SN Appl. Sci.

Numéro :

2

Date de publication :

2020-06-06

ISSN :

2523-3963

Mot(s)-clé(s) en anglais :

Catchment area (health)
Computer simulation
Diagnosis-related groups
Decision support systems (clinical)
Gravitation
Marketing of health services

Discipline(s) HAL :

Sciences du Vivant [q-bio]

Résumé en anglais : [en]

In France and elsewhere, decision-makers, healthcare professionals and health planners need to better understand and specify the provision of medical care. To this end, a hospital-based research project on a gravitational ...
Lire la suite >In France and elsewhere, decision-makers, healthcare professionals and health planners need to better understand and specify the provision of medical care. To this end, a hospital-based research project on a gravitational health planning modelling process was initiated in 2002. Since then, geomatics has emerged as a major scientific field for facing new challenges in medical informatics and health planning, thanks to the use of attractive interfaces, new methods and user-friendly IT technologies. Our initial 2002 model has recently been enhanced, optimized and automated as part of a spatial decision support system (PoleSat_2018). These decisive improvements and optimizations were mainly based on Delaunay triangulation, the replacement of human expertise with a heuristic dominance rule that provides a complete automated algorithm, and an online graphical user interface. Rapid, easy planning scenarios (by grouping and/or closing hospitals) give a quasi-instantaneous, strategic visualization of hospital catchment areas for decision-makers who are not experts in geomatics via ready-to-use maps and spreadsheets. This new implementation achieves our main objective, since the proposed deterministic method provides a completely automated, stable algorithm. A custom version of this tool is now being used by the French Ministry of Health for real planning issues. Consequently, PoleSat could be easily generalized as a prospective, strategic decision support tool for various health planning issues.Lire moins >

Langue :

Anglais

Audience :

Internationale

Vulgarisation :

Non

Établissement(s) :

Université de Lille
CHU Lille

Collections :

• METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694

Date de dépôt :

2023-11-15T09:41:58Z
2023-12-19T15:32:43Z