Towards a Digital Ecosystem for Predictive Healthcare Analytics
Basit Qureshi · 2014
Healthcare applications depend on voluminous data containing rich and important insights that can support predictive analysis by discovering these patterns using machine learning algorithms. Unfortunately this data is not always available for multiple reasons including lack of unified and standardized architecture for distribution / dissipation of such data. In this paper, we propose a framework for cloud based architecture of a digital ecosystem for storing, sharing and predictive analysis of healthcare data. We address the requirement for such a system and provide the design and architecture of the framework comprising of various interconnecting components. The proposed framework provides a cost effective digital ecosystem for collaboration, sharing and integration of Electronic Health Record systems by leveraging the benefits of cloud computing technologies. The framework provides a platform for various health care institutes, research organizations and government agencies to log data, develop predictive analytics models and collaborate in future research. A proof-of concept of the framework is implemented.