Paper Info
Title
Patient-like-mine: A real time, visual analytics tool for clinical decision support
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.
Year
DOI
Venue
2015
10.1109/BigData.2015.7364104
Big Data
Keywords
Field
DocType
electronic medical record, clinical decision support, real-time analytics, visual analytics, data mining
Data science,Data mining,World Wide Web,Software analytics,Computer science,Visual analytics,Medical record,Clinical decision support system,Analytics,Business intelligence,Recall,Cloud computing
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Peter Li100.34
Simon N. Yates200.34
Jenna K. Lovely321.04
David W. Larson474.49