Utilizing a Learner Specific EHR Dashboard to Promote Patient Management And Digital Health

Utilizing a Learner Specific EHR Dashboard to Promote Patient Management And Digital Health

Course Overview

The provision of high quality care demands practice. Educators recognize that to support the deliberate practice of our trainees, they must receive personalized feedback, and develop learning plans. Faculty and learners need access to individualized meaningful clinical information in order to focus trainees' outpatient practice development. Such data, Resident-sensitive Quality Measures (RSQM), are defined as "measures that are meaningful in patient care and are most likely attributable to resident care". GME programs have struggled with using RSQM measures as part of resident assessment. This has been in part related to the challenges of capturing resident specific data.

We describe the Dashboard we created in EPIC, which allows for review of individual resident outpatient quality measures, and review of the practice panel's social determinants of health. We share our implementation process, methods used for review, and describe barriers encountered. We will discuss various measures that programs' might consider to track.

The benefits of an accessible repository of RSQM data are multiple. The thoughtful review of such data will allow us to inform learners of their success (or need for growth) in developing and implementing value-based comprehensive plans to maintain and promote health. Study of this data can lead to the creation, implementation and assessment of sustainable quality improvement initiatives at the institutional or community level. Review of patients' SDoH will allow trainees to identify specific populations and community health needs and inequities for their practice, and lead to trainees changing and adapting practice to provide for the needs of specific populations.

Learning Objectives

• Understand one residency program's process for capturing and utilizing outpatient
• Resident-Sensitive Quality Measures (RSQMs).
• Recognize the challenges related to capturing RSQM data.