Predictive modeling of telehealth system deployment
Autor: | J-C Bocquet, Marija Jankovic, Camille Jean, J. Stal-Le Cardinal |
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Přispěvatelé: | Laboratoire Génie Industriel - EA 2606 (LGI), CentraleSupélec |
Jazyk: | angličtina |
Rok vydání: | 2015 |
Předmět: |
Strategic planning
Decision support system 021103 operations research System deployment Cost efficiency Computer science Management science 0211 other engineering and technologies Time horizon 02 engineering and technology Telehealth Decision support systems 3. Good health [SPI]Engineering Sciences [physics] Risk analysis (engineering) Software deployment Modeling and Simulation Forecasting 0202 electrical engineering electronic engineering information engineering Health service 020201 artificial intelligence & image processing Software Predictive modelling Simulation |
Zdroj: | Journal of Simulation Journal of Simulation, Palgrave Macmillan, 2015, 9 (2), pp.182-194. ⟨10.1057/jos.2014.27⟩ |
ISSN: | 1747-7778 |
Popis: | International audience; 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. |
Databáze: | OpenAIRE |
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