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

View Case Studies

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.

Find Out More