For many years, the Health Information System (HIS) has been an
integral part of the day-to-day operations of healthcare organizations such as clin ical 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.