Patient-like-mine: A real time, visual analytics tool for clinical decision support

Peter Li; Simon N. Yates; Jenna K. Lovely; David Larson

doi:10.1109/BigData.2015.7364104

Patient-like-mine: A real time, visual analytics tool for clinical decision support

Peter Li, Simon N. Yates, Jenna K. Lovely, David Larson

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

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.

Original language	English (US)
Title of host publication	Proceedings - 2015 IEEE International Conference on Big Data, IEEE Big Data 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2865-2867
Number of pages	3
ISBN (Electronic)	9781479999255
DOIs	https://doi.org/10.1109/BigData.2015.7364104
State	Published - Dec 22 2015
Event	3rd IEEE International Conference on Big Data, IEEE Big Data 2015 - Santa Clara, United States Duration: Oct 29 2015 → Nov 1 2015

Other

Other	3rd IEEE International Conference on Big Data, IEEE Big Data 2015
Country/Territory	United States
City	Santa Clara
Period	10/29/15 → 11/1/15

Keywords

clinical decision support
data mining
electronic medical record
real-time analytics
visual analytics

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications
Information Systems
Software

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10.1109/BigData.2015.7364104

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Patient-like-mine: A real time, visual analytics tool for clinical decision support. / Li, Peter; Yates, Simon N.; Lovely, Jenna K. et al.
Proceedings - 2015 IEEE International Conference on Big Data, IEEE Big Data 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 2865-2867 7364104.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Li, P, Yates, SN, Lovely, JK & Larson, D 2015, Patient-like-mine: A real time, visual analytics tool for clinical decision support. in Proceedings - 2015 IEEE International Conference on Big Data, IEEE Big Data 2015., 7364104, Institute of Electrical and Electronics Engineers Inc., pp. 2865-2867, 3rd IEEE International Conference on Big Data, IEEE Big Data 2015, Santa Clara, United States, 10/29/15. https://doi.org/10.1109/BigData.2015.7364104

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Patient-like-mine: A real time, visual analytics tool for clinical decision support

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Keywords

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