Predictive modeling of telehealth system deployment - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Journal of Simulation Année : 2015

Predictive modeling of telehealth system deployment

Résumé

Healthcare systems are facing intense challenges to maintain and reinforce their value, such as cost efficiency, quality of care, accessibility, and safety. Telehealth is seen as a possible way to address these challenges. Recent studies have focused on telehealth organization, resources, and operations management. However, very few studies have focused on predicting impacts of telehealth integration in the current healthcare system. We propose a parametric simulation model that fills this gap in the literature. The model considers environmental factors (demographic changes, resources and economic context) affecting the healthcare system and predicts implications over a long time horizon. A scenario-based approach is used to investigate several research questions and possible developments. A case study of the Picardie region illustrates this approach by modeling current conditions over a 20-year period. We believe this approach can be used as a strong decision support tool in the deployment of telehealth systems in the future.
Fichier principal
Vignette du fichier
JOS_Revised_Article2.pdf (550.57 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01205172 , version 1 (17-10-2015)

Identifiants

Citer

Camille Jean, Marija Jankovic, Julie Stal-Le Cardinal, Jean-Claude Bocquet. Predictive modeling of telehealth system deployment. Journal of Simulation, 2015, 9 (2), pp.182-194. ⟨10.1057/jos.2014.27⟩. ⟨hal-01205172⟩
153 Consultations
339 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More