Case Study

Accuracy of Readmission Risk Assessment Improved by Machine Learning

Accuracy of Readmission Risk Assessment Improved by Machine Learning

Pages 7 Pages

Copyright © 201 8 Health Catalyst 1 Accuracy of Readmission Risk Assessment Improved by Machine Learning HEALTHCARE ORGANIZATION Integrated Delivery System PRODUCTS Health Catalyst ® Analytics Platform and broad suite of analytics applications. EXECUTIVE SUMMAR Y Hospital readmissions carry significant financial costs and are associated with negative patient outcomes. While the reasons behind patient readmissions are multi-factorial, and the specific rates vary by institution, nearly 20 percent of all Medicare discharges nationwide led to a readmission within 30 days. Preventing even 10 percent of these readmissions could save Medicare $1 billion. North Carolina’s only not-for-profit, independent community healthcare system, Mission Health, is comprised of seven hospitals, 7

Join for free to read