AI to Cut Avoidable Readmissions
Predict patients at risk for readmission and identify opportunities to intervene before an avoidable return to the hospital occurs. SafeCare AI® helps hospitals move from reacting to readmissions to predicting and preventing them.
From Measuring Readmissions to Preventing Them
SafeCare AI® uses artificial intelligence and predictive analytics to analyze EMR data and identify patients, conditions, clinical patterns, and care processes associated with increased readmission risk. By turning complex patient data into actionable insights, SafeCare AI® helps clinicians and hospital leaders focus their attention on patients who may benefit from additional intervention, care coordination, or follow-up.
Avoidable readmissions can result from gaps in care, inadequate transitions, medication-related issues, unresolved clinical problems, or insufficient follow-up after discharge. SafeCare AI® helps hospitals move beyond retrospective readmission reporting by identifying risk and potential opportunities for intervention while patients are still receiving care. SafeCare AI® can help hospitals:
- Identify patients at increased risk for readmission
- Predict patterns associated with potentially avoidable readmissions
- Identify clinical and care-transition gaps
- Prioritize high-risk patients for targeted intervention
- Support more effective discharge planning and follow-up
- Improve coordination across providers and care settings
- Reduce avoidable hospital utilization and associated costs
- Support CMS Hospital Readmissions Reduction Program (HRRP) performance
