Constructing Healthcare Digital Twin from consumer big data and healthcare service support system

Abstract

For the purpose of improving the effectiveness and value of healthcare services, we construct digital twin that includes factors that affect the transition of health conditions and factors that promote / inhibit health behavior as a probabilistic model. Based on this, we develop a software that predicts health conditions and analyzes the effects of interventions, build Web applications. The software provides environment that supports the provision of online healthcare services. By this software and use case analysis of real healthcare services, an application system is designed. In addition, as a service for collecting real-world big data, we will discuss management method of projects that predict health conditions and sustainably intervene based on use cases in concrete demonstration fields.