Title :
Opportunities for Business Intelligence and Big Data Analytics in Evidence Based Medicine
Author :
El-Gayar, Omar ; Timsina, Prem
Author_Institution :
Dakota State Univ., Brookings, SD, USA
Abstract :
Evidence based medicine (EBM) is the conscientious, explicit, and judicious use of current best evidence in making decisions about the care of individual patients. Each year, a significant number of research studies (potentially serving as evidence) are reported in the literature at an ever-increasing rate outpacing the translation of research findings into practice. Coupled with the proliferation of electronic health records, and consumer health information, researchers and practitioners are challenged to leverage the full potential of EBM. In this paper we present a research agenda for leveraging business intelligence and big data analytics in evidence based medicine, and illustrate how analytics can be used to support EBM.
Keywords :
Big Data; competitive intelligence; data analysis; electronic health records; medicine; EBM; big data analytics; business intelligence; consumer health information; electronic health records; evidence based medicine; Data handling; Data storage systems; Electronic medical records; Information management; Medical diagnostic imaging; Medical services; Big Data; Business Intelligent; Data Analytics; Evidence Based Medicine;
Conference_Titel :
System Sciences (HICSS), 2014 47th Hawaii International Conference on
Conference_Location :
Waikoloa, HI
DOI :
10.1109/HICSS.2014.100