Automated near-real-time clinical performance feedback for anesthesiology residents: one piece of the milestones puzzle.

Anesthesiology

From the Department of Anesthesiology, Vanderbilt University School of Medicine, Nashville, Tennessee (M.D.M., W.R.F., and D.S.); and Departments of Anesthesiology, Surgery, and Biomedical Informatics Vanderbilt University School of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee (J.M.E. and W.S.S.).

Published: January 2014

AI Article Synopsis

  • Anesthesiology residencies are creating tools to assess trainees based on 25 milestones linked to six core competencies, utilizing automated methods for capturing and reporting performance.
  • The authors developed an automated feedback tool using a perioperative information management system, enabling residents to easily access their performance data while minimizing administrative workload.
  • Survey results showed that 80% of residents seek frequent updates on their clinical performance and prefer a comparison to their peers, leading to a tool that addresses these needs and provides near-real-time feedback.

Article Abstract

Background: Anesthesiology residencies are developing trainee assessment tools to evaluate 25 milestones that map to the six core competencies. The effort will be facilitated by development of automated methods to capture, assess, and report trainee performance to program directors, the Accreditation Council for Graduate Medical Education and the trainees themselves.

Methods: The authors leveraged a perioperative information management system to develop an automated, near-real-time performance capture and feedback tool that provides objective data on clinical performance and requires minimal administrative effort. Before development, the authors surveyed trainees about satisfaction with clinical performance feedback and about preferences for future feedback.

Results: Resident performance on 24,154 completed cases has been incorporated into the authors' automated dashboard, and trainees now have access to their own performance data. Eighty percent (48 of 60) of the residents responded to the feedback survey. Overall, residents "agreed/strongly agreed" that they desire frequent updates on their clinical performance on defined quality metrics and that they desired to see how they compared with the residency as a whole. Before deployment of the new tool, they "disagreed" that they were receiving feedback in a timely manner. Survey results were used to guide the format of the feedback tool that has been implemented.

Conclusion: The authors demonstrate the implementation of a system that provides near-real-time feedback concerning resident performance on an extensible series of quality metrics, and which is responsive to requests arising from resident feedback about desired reporting mechanisms.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3893706PMC
http://dx.doi.org/10.1097/ALN.0000000000000071DOI Listing

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