Use Home-Based Data to Identify Risk
Actionable In-Home Data
Collect OASIS, MDS-HC, and other in-home data to create a complete view of patient health. Proprietary AI models preemptively identify risk and recommend additional services. Dina’s workflow engine harnesses assessment data and sends actionable alerts to drive and track outcomes.
Analytics Provide Insights Into Patient Progress
Predictive models identify patients who show a high risk of returning to the ER, who may transition to long-term nursing care, or require support with ADL or social determinant needs.
- Reduce avoidable ED visits
- Address health equity initiatives
- Improve PCP utilization
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“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.”
Director, Strategy and Value-Based Partnerships, BAYADA Home Healthcare