Machine-Learning Modeling to Predict Hospital Readmission Following Discharge to Post-acute Care
Primary purpose was to generate a model to identify key factors relevant to acute care hospital readmission within 90 days from 3 types of post-acute care (PAC) sites: home with home care services (HC), skilled nursing facility (SNF), and inpatient rehabilitation facility (IRF). Specific aims were to (1) examine demographic characteristics of adults discharged to 3 types of PAC sites and (2) compare 90-day acute hospital readmission rate across PAC sites and risk levels.
Source: Journal of the American Medical Directors Association - Category: Health Management Authors: Elizabeth P. Howard, John N. Morris, Erez Schachter, Ran Schwarzkopf, Nicholas Shepard, Emily R. Buchanan Tags: Original Study Source Type: research
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