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🗞️ News - January 8, 2025

NeuroFlow Integrates Intermountain Health’s Behavioral Health Analytics Model

NeuroFlow has acquired Intermountain Health's behavioral health analytics model, enhancing patient care through improved data integration and risk assessment. 📊🧠

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Quick Summary

NeuroFlow has announced the acquisition of a proprietary behavioral health analytics model from Intermountain Health, based in Salt Lake City. This integration aims to enhance NeuroFlow’s platform by incorporating advanced analytics and AI capabilities.

Key Features and Benefits

  • Enhanced Analytics: The integration of Intermountain’s clinically validated model will improve NeuroFlow’s risk assessment tools, allowing for better patient outcomes.
  • Predictive Complexity Algorithm: This algorithm identifies relationships among various data variables to support targeted decision-making and treatment options.
  • Streamlined Processes: The model aims to reduce the burden of multiple screening tools on patients and improve data integration for providers.

Implementation Details

  • The model utilizes data from various sources, including patient self-reports, electronic health records, and claims data.
  • NeuroFlow plans to make the enhanced capabilities available to other healthcare clients later this year.

Impact on Patient Care

  • The integration is expected to facilitate shared decision-making between patients and providers, leading to more personalized care.
  • By simplifying the assessment process, the model aims to improve patient engagement and outcomes.

Future Collaborations

  • NeuroFlow and Intermountain Health will continue to work together to innovate and refine the risk complexity model.
  • This partnership builds on a strategic collaboration announced earlier this summer.

Expert Insights

Dr. Brenda Reiss-Brennan from Intermountain Health emphasized the importance of a standardized workflow that accounts for the complexity of mental and physical health needs, stating that it leads to effective and efficient care pathways.

Sources


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Image credit: www.neuroflow.com

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