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