A Study on Future Data Science and its Impact in Health Care Organizations

As a new scientific discipline, Data Science need a re-examination and re-design of both established pedagogical practices and current curriculum in order to meet its unique demands and those of the rapidly developing Big Data and data-driven technologies upon which it relies. In today’s data-driven research and digital economy, there is a need of a standardized, harmonized instructional model for the education and training of Data Scientists. Data science is a broad field that makes use of scientific methodologies, data mining techniques, machine-learning algorithms, and large amounts of data to draw conclusions and make predictions. The healthcare sector produces copious amounts of valuable data on patient demographics, treatment plans, medical examination outcomes, insurance coverage, and more. Data scientists are interested in the information gathered by IoT gadgets. The vast amounts of disparate, structured, and unstructured data generated by healthcare systems require assistance in processing, management, analysis, and integration. This study explores the emerging field of data science and its potential impact on healthcare organizations in the future. With the advent of advanced technologies and the exponential growth of data, the healthcare sector has witnessed a paradigm shift towards data-driven decision-making. The objective of this research is to examine how data science can revolutionize healthcare organizations by enhancing efficiency, improving patient outcomes, and optimizing resource allocation.