Improving Data Analytic Performance in Health Information System with Big Data Technology

Abstract

For many years, the Health Information System (HIS) has been an integral part of the day-to-day operations of healthcare organizations such as clinical centers and hospitals. HIS collects, stores and manages healthcare data from different sources related to patients’ electronic medical record and other daily operational activities of healthcare organizations. HIS analyzes its database to create reports that help healthcare organizations improve patient outcomes, quality of services, treatment cost efficiency and support healthcare policy decisions. Over time, the HIS data has grown enormously and that makes the HIS’s data analytic module become overloaded, affecting the overall system performance of HIS and resulting in a denial of service from HIS. This paper presents a case study of applying big data technology to improve the performance of data analytic modules in a traditional HIS.