DocumentCode
3717478
Title
Patient-like-mine: A real time, visual analytics tool for clinical decision support
Author
Peter Li;Simon N. Yates;Jenna K. Lovely;David W. Larson
Author_Institution
Department of Surgery, Mayo Clinic, Rochester, MN USA
fYear
2015
Firstpage
2865
Lastpage
2867
Abstract
We developed a real-time, visual analytics tool for clinical decision support. The system expands the "recall of past experience" approach that a provider (physician) uses to formulate a course of action for a given patient. By utilizing Big-Data techniques, we enable the provider to recall all similar patients from an institution´s electronic medical record (EMR) repository, to explore "what-if" scenarios, and to collect these evidence-based cohorts for future statistical validation and pattern mining.
Keywords
"Cloud computing","Cryptography","Real-time systems","Visual analytics","Surgery","Firewalls (computing)"
Publisher
ieee
Conference_Titel
Big Data (Big Data), 2015 IEEE International Conference on
Type
conf
DOI
10.1109/BigData.2015.7364104
Filename
7364104
Link To Document