In recent years, various institutions around the globe have produced abundantly haphazard data, and this unorganized data is called Big data. These are not only large in size but also diverse and rapid which is a strenuous task to manage with existing tools and processes. Electronic health records (EHRs) or medical data collected from hospitals or patients are among the fastest-growing types of data. Owing to the rapid rise of medical data, it is necessary to develop appropriate tools and approaches for processing and extracting values and knowledge from these datasets to upgrade patient care and reduce medical costs. The medical care industry faces the challenge of managing profuse info from different sources. Although Various technologies and strategies have been developed in healthcare institutions to process these vast amounts of data but it is still an undergoing process. The idea behind this review paper is to give an overview of the impact of big data analysis in medical care. At first, we define and elucidate the characteristics and sources of these data in medical care. After that, we shall go over its challenges in implementing this, and applications related to health management, and finally, wedraw conclusions.

Big data; Medical care; Electronic Health Records(EHRs); EMR