Title Information
Non Sort
An
Title
Automated System for Analyzing the Application of TTE Appropriate Use Criteria
Name: Personal
Name Part
Eisman, Aaron S.
Role
Role Term: Text
creator
affiliation
Brown University. Alpert Medical School
Name: Personal
Name Part
Weiner, Rory B.
Role
Role Term: Text
creator
affiliation
Massachusetts General Hospital
Name: Personal
Name Part
Chen, Elizabeth S.
Role
Role Term: Text
creator
affiliation
Brown University. Center for Biomedical Informatics
Name: Personal
Name Part
Stey, Paul
Role
Role Term: Text
creator
affiliation
Brown University
Name: Personal
Name Part
Sarkar, Indra Neil
Role
Role Term: Text
creator
affiliation
Brown University. Center for Biomedical Informatics
Type of Resource
text
Genre (aat)
posters
Origin Information
Date Created (keyDate="yes", encoding="w3cdtf")
2016
Language
Language Term: Code (ISO639-2B)
eng
Note (displayLabel="Scholarly concentration")
Biomedical Informatics
Abstract
Transthoracic Echocardiograms (TTEs) are frequently performed inappropriately as defined by the appropriate use criteria (AUC) jointly published by the American Heart Association (AHA) and American College of Cardiology (ACC)1-3. To characterize this problem, we developed a program to automatically analyze TTEs from an electronic health record system and categorize them based on the AUC guidelines. Using the Medical Information Mart for Intensive Care III (MIMIC-III) database4, 99% of the 30,320 TTEs were classified into one of six main AUC categories: general; acute; valve; cardiac structure; hypertension, heart failure, or cardiomyopathy (HTN, HF, CM); aorta; and adult congenital heart disease (ACHD). Future development will incorporate additional clinical data in order to determine TTE appropriate use rates for entire health systems.
Subject (LCSH)
Topic
Cardiology
Subject (LCSH)
Topic
Echocardiography
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