Data Science in Medical Informatics: Challenges and Opportunities

The healthcare system is undergoing a significant transition, necessitated by the triple goal of improving efficiency, lower costs and improving outcomes. Healthcare analytics may be implemented at different levels, including monitoring and avoiding medical errors, data integration, predictive analysis and personalized modelling. Although substantial advancement and progress has been made from the perspective of data science and study, challenges and opportunities remain. Current major fields of study can be categorized according to the organisation, implementation and assessment of health information systems, the representation of medical information and the analysis and interpretation of underlying signals and data. We can anticipate many changes in future medical informatics science, considering the fluid existence of many of the driving forces behind innovation in information processing methods and their technology, advancement in medicine and health care, and the rapidly evolving needs, requirements and desires of human societies. This chapter consists of opportunities and challenges of data science in healthcare information analysis. Also data analytics stages, future and its technologies are briefly discussed.