380 - Creating an Automated Dashboard to Provide Individualized Clinical Exposure and Performance Data to Pediatric Residents

Poster Board #: 380
Publication #: 3912-HP-QA.380

Background: Pediatric residency programs are required by the Accreditation Council for Graduate Medical Education to provide residents with individual clinical performance data and patient care quality metrics. A multi-center resident survey demonstrated that trainees at were dissatisfied with the current data being provided.


Objective: We aimed to design and implement a real-time automated dashboard providing meaningful individualized clinical exposure and performance data to trainees based on an institutional needs-assessment.


Design/Methods: At our large pediatric residency program in a free-standing children’s hospital, we developed a pediatric resident clinical exposure and performance dashboard based on previously identified needs. To build the dashboard, we queried an enterprise data warehouse populated with data from our Electronic Health Record (EHR). We created a real-time connection to visual analytics software. We allocated patients to trainees based on note authorship and created individualized reports with masked identities that preserved anonymity while allowing each resident to review their own clinical performance and compare it to their peers. We created individualized core competency diagnostic counts for pediatric hospital medicine using ICD10 codes. We will collect usage data and conduct post-implementation usability and acceptability testing from January-March 2021 based on the Technology Acceptance Model as a framework. The post-implementation survey will consist of 15 Likert scaled items assessing the perceived usefulness, ease of use, attitude towards and intention to use the dashboard.


Results: In response to resident survey results, we developed a dynamic, automated dashboard that provides individualized resident-specific clinical exposure and performance metrics. Examples of available dashboard metrics include personalized diagnosis exposure counts (Figure 1), procedure counts, efficiency metrics, and evidence-based patient care quality indicators (Figure 2).

Conclusion(s): We describe a unique solution to currently existing gaps in pediatric residency programs’ ability to provide personalized, objective clinical exposure and performance data to residents. By capitalizing on EHR and analytics capabilities, residency programs can develop automated dashboards capable of providing trainees with meaningful data regarding their clinical performance.

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Authors/Institutions: Julia K. Yarahuan, Texas Children's Hospital, Houston, Texas, United States; Huay-Ying Lo, Texas Children's Hospital, Houston, Texas, United States; Lanessa D. Bass, Texas Children's Hospital, Houston, Texas, United States; Lauren M. Hess, Texas Children's Hospital, Houston, Texas, United States