Full Resolution Simulation for Evaluation of Critical Care Imaging Interpretation; Part 1: Fixed Effects Identify Influences of Exam, Specialty, Fatigue, and Training on Resident Performance.

RATIONALE AND OBJECTIVES

To describe our full-resolution simulation of critical care imaging coupled with posthoc grading of resident's interpretations and present results from the fixed effects terms in a comprehensive mixed regression model of the resulting scores.

MATERIALS AND METHODS

The system delivered full resolution DICOM studies via clinical-grade viewing software integrated with a custom built web-based workflow and reporting system. The interpretations submitted by participating residents from 47 different programs were graded (scores of 0-10) on a case by case basis by a cadre of faculty members from our department. The data from 5 yearly (2014-2018) cycles consisting of 992 separate 65 case, 8 hour simulation sessions were collated from the transaction records. We used a mixed (hierarchical) statistical model with nine fixed and four random independent variables. In this paper, we present the results from the nine fixed effects.

RESULTS

There were 19,916/63,839 (27.0%, CI 26.7%-27.4%) scores in the 0-2 range (i.e., clinically significant miss). Neurological cases were more difficult with adjusted scores 2.3 (CI 1.9-3.2) lower than body/musculoskeletal cases. There was a small (0.3, CI 0.20-0.38 points) but highly significant (p<0.0001) decrease in score for the final 13/65 cases (fifth quintile) as evidence of fatigue during the last hour of an 8 hour shift. By comparing adjusted scores from mid-R1 (quarter 3) to late-R3 (quarter 12) we estimate the training effect as an increase of 2.2 (CI 1.90-2.50) points.

CONCLUSION

Full resolution simulation based evaluation of critical care radiology interpretation is being conducted remotely and efficiently at large scale. Analysis of the resulting scores yields multiple insights into the interpretative process.