Dina Insights
Risk Stratification Powered By Home-Based Data
Actionable In-Home Patient Data
Dina’s risk stratification tools are designed to identify individuals who are at risk of experiencing an adverse health event, such as a readmission within 30 days, an unplanned hospital admission, or a progression to long-term nursing care. Using a variety of data sources, including OASIS, MDS-HC and Social Determinants Of Health data, Dina’s proprietary AI models can help care teams identify patients who are at risk and target interventions to slow progression or reduce the likelihood of an adverse event.
Analytics Provide Insights Into Patient Progress
Predictive modeling can identify patients who show a high risk of returning to the ER, who may need to transition to long-term nursing care, or require support with ADL or social determinant needs. Use Dina’s risk stratification technology to:
- Reduce avoidable ED and hospital visits
- Slow progression to long-term nursing care
- Address health equity initiatives
Used By Innovative Hospitals, ACOs, Health Plans & In-Home Care Providers
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Serving the Most Vulnerable Clients
“Leveraging Dina’s predictive modeling capabilities has enhanced our health plan partnerships, allowing us to better serve some of the most vulnerable clients in the communities we serve.”
Matt Lippitt
Director, Strategy and Value-Based Partnerships, BAYADA Home Healthcare
Use Real-Time Data to Keep People Safe at Home
Activate proprietary and in-home data to preemptively identify risk and recommend additional services.