Dashboard Development for Tracking Performance of High-Risk Abdominal Aortic Aneurysm Screening

Poster Number: P34
Presentation Time: 05:00 PM - 06:30 PM

Abstract Keywords: Information Visualization, Population Health, User-centered Design Methods, Machine Learning, Informatics Implementation, Clinical Decision Support
Primary Track: Applications

Geisinger deployed a machine learning model that identifies high-risk individuals for early Abdominal Aortic Aneurysm screening, who are contacted by a nursing team to recommend screening. Program stakeholders wanted to measure the success and impact of the screening program, including screening rates and results. We developed a dashboard in Tableau for use by our clinical and outreach teams to track the progress of identifying, conducting outreach, and screening high-risk patients.

Speaker(s):
Akiva Blickstein
Geisinger

Author(s):
Biplab S Bhattacharya, PhD - Geisinger Health System; Casey Cauthorn, MS - Geisinger; Evan Ryer, MD - Geisinger; Gregory Salzler, MD - Geisinger; Jim Urick, MS - Geisinger Health System; Rebecca Maff, MS; James Elmore, MD - Geisinger; Elliot Mitchell, PhD - Geisinger;