EconPapers    
Economics at your fingertips  
 

Next Frontier for Health Systems: Learning from Patient’s Behavior and Fuzzy Factors Identification

Shengjing Sun, Xiaochen Zheng, Joaquin Ordieres-Meré, Irène Georgescu (irene.georgescu@umontpellier.fr) and Etienne Minvielle (etienne.minvielle@ehesp.fr)
Additional contact information
Shengjing Sun: PMQ Research Group, ETSII, Universidad Politécnica de Madrid
Xiaochen Zheng: PMQ Research Group, ETSII, Universidad Politécnica de Madrid
Joaquin Ordieres-Meré: PMQ Research Group, ETSII, Universidad Politécnica de Madrid
Irène Georgescu: MRE - Montpellier Recherche en Economie - UM - Université de Montpellier
Etienne Minvielle: CRG I3 - Centre de recherche en gestion i3 - X - École polytechnique - IP Paris - Institut Polytechnique de Paris - Université Paris-Saclay - I3 - Institut interdisciplinaire de l’innovation - CNRS - Centre National de la Recherche Scientifique

Post-Print from HAL

Abstract: This paper aims to explore challenges and opportunities that technology brings when applied to understand effects that patient's behaviour has in relationship with evolution of the disease. The paper will review the contributions from the Internet of Things (IoT) paradigm, but also it will consider alternate sources to collect feelings and interests which are related to the big-data dimension, like social media exploration, etc. Based on the current status of the technology some managerial considerations are discussed as well. Two questions are addressed: The first one highlights technological limitations from the current and fragmented approach, including concerns related to privacy and ownership. In response, the paper proposes a holistic framework helping in easing the IoT use by proposing integrated solutions to several of the identified concerns. The second one is related to the patient's motivation for adopting such IoT solutions. Some future researches is identified to explore the impact of "easy to use" technological solutions on patients motivation in sustainable adoption.

Keywords: Patient behaviour; Internet of Things; Semantic model; Distributed Ledge Technologies; Social Networks (search for similar items in EconPapers)
Date: 2019-06-17
References: Add references at CitEc
Citations:

Published in R&D Management Conference, The Innovation Challenge: Bridging Research, Industry and Society, HEC; Ecole polytechnique, Jun 2019, Palaiseau, France

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03059741

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD (hal@ccsd.cnrs.fr).

 
Page updated 2025-03-19
Handle: RePEc:hal:journl:hal-03059741