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Data-driven Approaches to Augment Clinical Decision in EMR Era
Health Data Initiative Forum III The Health Datapalooza
Ketan ManeRenaissance Computing Institute (RENCI)
University of North Carolina, Chapel Hill, NC, [email protected]
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~42%
~5%~3%
http://www.naturodoc.com/library/public_health/doctors_cause_death.htmRef: Starfield B. Is US health really the best in the world?. JAMA. 2000;284(4):483-485.
~50%
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Electronic Medical Record Systems
Information Overload demands need for external aid to process information
Patient Data
Time
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Challenge to use EMR in Clinical Care?
Information overload
Decision making
Targeted Approach/ Personalized Medicine
Real-time use
EMR dataPatient Diagnosis
+ Treatment + Outcomes
Target Patient
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Data Driven Approach with Visual Analytics as External Aid
Alternate Treatment Options
EMR dataPatient Diagnosis
+ Treatment + Outcomes
Target Patient
Actionable Data for Use in clinical careEMR Raw Data
Visual Analytics Layer
Predictive Insight
Patient-Centric Options
Who is my target patient How has my patient responded to treatments in past
What Rx have been prescribed? Was there any overlap in Rx
What alternate Rx options are available for treatment
Selected Rx projected response based on outcome of similar patients.
Demographics Patient Longitudinal Data
Comparative Population Data as Evidence
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The approach shows – how EMR population data can be used at the point of care to offer -
Thank you Ketan Mane, RENCIwww.renci.org/~kmane
Summarize
Patient-Centric Solution
Alternate Treatment Options
Predictive Insight
In addition to showing patient longitudinal data
What is my patient demographics
How has my patient responded to treatment in past
What Rx have been prescribed? Was there any overlap in Rx
What alternate Rx options are available for treatment
Selected Rx projected response based on outcome of similar patients.
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