DocumentCode :
1787357
Title :
Integrating Data from EHRs to Enhance Clinical Decision Making: The Inflammatory Bowel Disease Case
Author :
Abouzahra, Mohamed ; Sartipi, Kamran ; Armstrong, David ; Tan, Jason
Author_Institution :
DeGroote Sch. of Bus., McMaster Univ., Hamilton, ON, Canada
fYear :
2014
fDate :
27-29 May 2014
Firstpage :
531
Lastpage :
532
Abstract :
Recent years have witnessed a constant growth of using electronic health records resulting in the availability of enormous amounts of patient information. Clinicians are unable to use this information effectively because of the lack of interoperability and standardization between systems as well as the overwhelming amount of irrelevant information. In this study, we propose a framework to support clinicians decision making by integrating data from different EHR systems in a common data warehouse and applying data mining techniques to retrieve useful knowledge from patients data. This knowledge is then integrated with clinical guidelines in clinical decision support systems to facilitate decision making. Our framework will enhance the use of patients data in decision making and to encourage the use of clinical guidelines and evidence based medicine.
Keywords :
data integration; data mining; data warehouses; decision support systems; diseases; electronic health records; EHR data integration; clinical decision making; clinical decision support systems; clinical guidelines; data mining techniques; data warehouse; electronic health records; evidence based medicine; inflammatory bowel disease; patient information; Data mining; Decision making; Diseases; Educational institutions; Gastroenterology; Guidelines; CDSS; Data mining; EHR; Healthcare analytics; IBD; Integration; Knowledgebase;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer-Based Medical Systems (CBMS), 2014 IEEE 27th International Symposium on
Conference_Location :
New York, NY
Type :
conf
DOI :
10.1109/CBMS.2014.124
Filename :
6881961
Link To Document :
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