Abstract
<p class="0abstract">The big data analytics plays a pivotal role in the field of healthcare services and research to facilitate better service to the patients. It has provided tools to accumulate, manage, analysis the structured and unstructured data produced by the healthcare systems. Recently the utilization of big data analytics has been increased in the healthcare industry for assisting the process of diagnosing diseases and care delivery. However, the adoption and research development of big data analysis in the healthcare industry is still slow down due to facing some fundamental problems inherent within the big data paradigm. In this study, addresses these problems which focus on the upcoming and promising areas of medical research and proposed a novel big data analytics approach using Apache Spark. The proposed approach will improve care delivery in the healthcare industry. Big data analytics can continually evaluate clinical data in order to improve the effective practices of physicians and improved patient care.</p>
Highlights
The healthcare industry fundamentally created a huge volume of information in various formats for medical services and administration from different sources
The Table-1 shows the geographical details of the data which has been used for data analytics
Big data analytics and applications in healthcare are at an emerging stage of development, but rapid advances in platforms and tools can accelerate their maturing iJOE ‒ Vol 15, No 10, 2019
Summary
The healthcare industry fundamentally created a huge volume of information in various formats for medical services and administration from different sources. The healthcare industry has about 80% unstructured data and its developing exponentially [4] Gaining admittance to this unstructured information, such as the yield from medicinal gadgets, specialist’s prescriptions, and lab results, scanning reports, therapeutic correspondence, clinical information and monetary data are valuable assets for improving patient care and increasing efficiency in diagnosing diseases. This information is unable to perform the analysis using ordinary projects and fringe gadgets, which are presently utilized by medicinal services administrations. The information should be accumulated, standardized and investigated for better consideration conveyance [5, 6]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
