Opportunities for Business Intelligence and Big Data Analytics In Evidence Based Medicine

被引:13
作者
El-Gayar, Omar [1 ]
Timsina, Prem [1 ]
机构
[1] Dakota State Univ, Madison, SD 57042 USA
来源
2014 47TH HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (HICSS) | 2014年
关键词
CLINICAL DECISION-SUPPORT; KNOWLEDGE; CARE; GUIDELINES; RETRIEVAL; ONTOLOGY; SYSTEMS;
D O I
10.1109/HICSS.2014.100
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:749 / 757
页数:9
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