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: Tags: Original Study Source Type: research