An automated model to identify heart failure patients at risk for 30-day readmission or death using electronic medical record data

Medicine & Life Sciences

• Patient Readmission 97%
• Electronic Health Records 86%
• Heart Failure 61%
• Statistics 43%
• Mortality 42%
• Risk Adjustment 18%
• Centers for Medicare and Medicaid Services (U.S.) 18%
• Urban Hospitals 15%
• Social Class 13%
• Registries 11%
• Patient Care 10%
• Hospitalization 10%

Social Sciences

• Medical records 100%
• death 61%
• electronics 58%
• mortality 38%
• statistics 22%
• predictive model 18%
• risk adjustment 12%
• hospital care 10%
• hospitalization 8%
• clinician 6%
• social status 5%
• discrimination 5%
• present 4%
• performance 3%
• time 2%