Background: There is increasing emphasis on resident involvement in quality improvement (QI) efforts, yet resident engagement in QI has remained low for many reasons. Although QI methods are classically applied to clinical processes, there are many opportunities to incorporate QI principles into curricular design and implementation.

Objective: Demonstrate the utility of QI methods when applied to curricular design and the implementation of a novel point-of-care ultrasound portfolio development and quality assurance program at a large internal medicine residency program.

Methods: We applied foundational QI methods, including process mapping, plan-do-study-act (PDSA) cycles, time-trap identification, run-chart analysis, and qualitative interviews throughout the curricular design and implementation phases to rapidly identify areas for improvement and perform timely tests of change.

Results: Fifty-one interns participated in the curriculum, submitting 731 images in the first trimester. Process mapping and submission review revealed that 29% of images were saved to the incorrect digital archive. Resident-reviewer interpretation concordance was present in 80.7% of submissions. In 95.2% of completed quality assurance cards, the same information was provided in the commentary feedback and the evaluator's checklists, representing a time trap. Interventions included restricting access to image archives and removing redundant fields from quality assurance cards. The time to feedback fell from 69.5 to 6.5 days, demonstrating nonrandom variation via run-chart analysis.

Conclusion: This pilot study demonstrates the successful application of QI methods to a novel point-of-care ultrasound curriculum. The systematic use of these methodologies in curricular design and implementation allows expeditious curricular improvement. Emphasizing the relevance of QI methods to subject matter beyond clinical processes may increase resident engagement in QI efforts.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10773275PMC
http://dx.doi.org/10.34197/ats-scholar.2023-0018INDOI Listing

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