Mp02-19 Automated Abstraction Algorithm for Radical Prostatectomy Surgical Outcomes

You have accessJournal of UrologyHealth Services Research: Quality Improvement specificity was>97% for all outcomes. IRR was highest for mortality (k=1.00, CI: 1.00-1.00) and lowest for both ureteral obstruction and dialysis (k=0.00, CI: 0.00-0.00). IRR was fair for renal insufficiency (k=0.32, CI: 0.19-0.44), sepsis (k=0.28, CI: 0.06-0.50), and prolonged NGT/NPO (k=0.39, CI: 0.11-0.66); moderate for UTI (k=0.50, CI: 0.34-0.65) and stage (k=0.53, CI: 0.30-0.76); and substantial for: urine leak (k=0.60, CI: 0.43-0.76), surgical margins (k=0.94, CI: 0.86-1.02), pneumonia (k=0.80, CI: 0.42-1.19), and C. difficile infection (k=0.67, CI: 0.05-1.28). CONCLUSIONS: We developed a novel EMR-based algorithm that matched or exceeded the accuracy of NSQIP abstraction in the identification of post-prostatectomy outcomes. High sensitivity and specificity, and substantial agreement between the algorithm and NSQIP indicates that automated abstraction is a tenable replacement for trained manual abstraction. Broader application of this algorithm may facilitate standardization and cost reduction for real-time national outcome and quality metric benchmarking. 1 Saraswathula, A, et al. JAMA 2023; 329(21): 1840-1847. Source of Funding: None © 2024 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 211Issue 5SMay 2024Page: e20 Advertisement Copyright & Permissions© 2024 by American Urological Association Education and Research, Inc.Metrics Author Information Maximilian J. Rabil More articles by this author Michael Jalfon More articles by this author Dylan Heckscher More articles by this author Victoria Kong More articles by this author Aleksandra Golos More articles by this author Rhys Richmond More articles by this author Adam Chess More articles by this author Michael S. Leapman More articles by this author Jaime A. Cavallo More articles by this author Expand All Advertisement PDF downloadLoading ...