Design and Implementation of a Surgical Decision Aid with Predictive Analytics

November 3, 2022
12 – 1 PM Central Time

Osteoarthritis affects almost two-thirds of aging adults. When knee or hip osteoarthritis pain limits daily activities, patients and clinicians must decide if joint arthroplasty surgery is indicated. This PCORI-funded research designed a patient-clinician decision report that includes predicted surgical outcomes based on national data. The report was implemented and evaluated among 6000 patients at 12 sites. Qualitative and quantitative evaluations of the decision report’s impact on care will be presented.

Guest:
Patricia D. Franklin, MD, MBA, MPH
Professor, Departments of Medical Social Sciences, Medicine (Rheumatology), Orthopaedics
Northwestern University Feinberg School of Medicine

Patricia Franklin, MD MBA MPH advances learning healthcare systems through designing and implementing novel methods to translate knowledge to improve patient care and population health outcomes. Her recent research designs and evaluates methods to collect, analyze, and report patient-reported and clinical data to guide personalized treatment decisions among aging adults with knee and hip osteoarthritis. Dr. Franklin has held diverse leadership roles including medical director of health system quality, co-director of training programs for junior faculty and post-doctoral trainees, and principal investigator of large federally funded research studies.