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Meaningful education of residents in systems-based practice is notoriously challenging, despite its recognition as 1 of the 6 Accreditation Council for Graduate Medical Education core competencies. To address this challenge, surgery residents and other members of the health care team were organized into interdisciplinary workgroups that were tasked with developing solutions to “systems issues” confronted on a daily basis. The project’s goals included providing more meaningful, hands-on educational experience for residents in system-based practice, while also generating practical solutions to workflow issues through interprofessional collaboration.

Participating in self-assessment activities may stimulate improvement in practice behaviors. However, it is unclear how best to support the development of self-assessment skills, particularly in the health care domain. Exploration of population-based data is one method to enable health care providers to identify deficiencies in overall practice behavior that can motivate quality improvement initiatives. At the University of Virginia, we are developing a decision support tool to integrate and present population-based patient data to health care providers related to both clinical outcomes and non-clinical measures (e.g., demographic information). By enabling users to separate their direct impact on clinical outcomes from other factors out of their control, we may enhance the self-assessment process.