A data-driven approach for quality assessment of radiologic interpretations.
Given the increasing emphasis on delivering high-quality, cost-efficient healthcare, improved methodologies are needed to measure the accuracy and utility of ordered diagnostic examinations in achieving the appropriate diagnosis. Here, we present a data-driven approach for performing automated quality assessment of radiologic interpretations using other clinical information (e.g., pathology) as a reference standard for individual radiologists, subspecialty sections, imaging modalities, and entire departments. Downstream diagnostic conclusions from the electronic medical record [...]
Author(s): Hsu, William, Han, Simon X, Arnold, Corey W, Bui, Alex At, Enzmann, Dieter R
DOI: 10.1093/jamia/ocv161