Journal article

Feasibility of Natural Language Processing-Assisted Auditing of Critical Findings in Chest Radiology.

Marta E Heilbrun, Brian E Chapman, Evan Narasimhan, Neel Patel, Danielle Mowery

J Am Coll Radiol | Elsevier BV | Published : 2019

Abstract

OBJECTIVE: Time-sensitive communication of critical imaging findings like pneumothorax or pulmonary embolism to referring physicians is essential for patient safety. The definitive communication is the radiology free-text report. Quality assurance initiatives require that institutions audit these communications, a time-intensive manual task. We propose using a rule-based natural language processing system to improve the process for auditing critical findings communications. METHODS: We present a pilot assessment of the feasibility of using an automated critical finding identification system to assist quality assurance teams' evaluation of critical findings communication compliance. Our asses..

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University of Melbourne Researchers