Abstract: The Echocardiography Appropriate Use Criteria (EAUC) are a set of indications for transthoracic echocardiography (TTE) developed to guide physician decision making around ordering of TTE. In this study, an automated rule-based method for processing “indications” listed within TTE reports and classification into one of the major EAUC categories was developed and validated against a clinician-annotated reference standard. The system performed at a comparable level to trained physicians allowing for the automated classification of more than 30,000 TTE indications from a public database in less than ten minutes. The most common indication for TTE was Valvular assessment closely followed by General. Hypertension/Heart Failure/Cardiomyopathy, Acute, and Cardiac Structure assessment each contributed more than ten percent within this patient population. These results suggest potential for automated approaches for tracking appropriate use of TTE, as well as guide the development of systems for prospectively identifying when TTE use is recommended.

Learning Objective 1: Use of natural language processing techniques to automatically classify echocardiography reports


Aaron Eisman (Presenter)
Brown University

Rory Weiner, Massachusetts General Hospital
Elizabeth Chen, Brown University
Paul Stey, Brown University
Rishi Wadhera, Brigham and Women's Hospital
Aaron Kithcart, Brigham and Women's Hospital
Indra Sarkar, Brown University

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