Abstract 18379: Implementation of a Fully Automated Procedural Reporting System for Cardiology Fellowship
Howard M Julien, Srinath Adusumalli, Nosheen Reza, Monika Sanghavi, Frank Silvestry, Emeka C Anyanwu- Physiology (medical)
- Cardiology and Cardiovascular Medicine
Introduction: Contemporary cardiovascular fellowship training is based in the principles of competency-based medical education (CBME). Inclusive of CBME, core cardiovascular training statements suggest a minimum number of procedures necessary to achieve levels of training. However, current platforms for procedure logging create an onerous burden on trainees and program leadership which can result in incomplete data capture. There is a paucity of experience with automated case logging tools across training programs. Herein, we present the experience of fully automating trainee case logging within the echo lab at a large cardiovascular fellowship program.
Methods: Structured trainee procedure attribution data (patient age, gender, and procedure type) were captured during routine clinical activity within our EHR structured reporting module (Epic Cupid). Attribution was extracted from the EHR reporting warehouse (Epic Clarity) and summarized for trainees weekly via email. Following a weeklong buffer period to allow for corrections, the data were uploaded to the institutional educational reporting platform (MedHub) via a web application programming interface. All stages of this workflow were fully automated.
Results: During the post-intervention period (June 2022 to May 2023), 32 cardiovascular fellows participated. Attribution was initially captured for transthoracic and transesophageal echocardiograms and later expanded to include exercise and dobutamine stress echocardiograms. A monthly average of 584 procedures were captured for trainees. There were no attribution errors reported. The intervention was uniformly perceived as helpful by both trainees and leadership with requests for expansion to other cardiovascular procedure types.
Conclusion: Fully automated educational experience reporting is feasible in a large cardiovascular training program and can be implemented without change to clinical workflows or administrative burden.