Emerging Advancement of Data Science in the Healthcare Informatics

Abstract

The healthcare domain is experiencing a massive transition, driven by the threefold target of increased efficiency, reduced costs and positive results for patients. The lack of clinical experience impact can largely be due to inadequate statistical model effectiveness, difficulties understanding dynamic model forecasts, and lack of evidence from prospective clinical trials that have a strong benefit over the standard of treatment. In this article, the promise of personalized medicine's state-of-the-art data science methods, discussing open barriers, and Highlight paths that might in the future help to solve them. We should anticipate many shifts in future medical informatics science in view of the fluid existence of many of the driving factors behind advancement in knowledge management methods and their technology, developments in medicine and health care, and the constantly shifting demands, requirements and aspirations of human populations. This chapter gives brief explanation for relevance of the applications of predictive analytics strategies and importance of data science in healthcare.