NeuroFlow will integrate the health system’s clinically validated complexity model into its platform to enhance behavioral health identification and stratification and improve whole person care outcomes and reduce costs
NeuroFlow, a leading behavioral health technology and analytics company, today announced the acquisition of Intermountain Health’s proprietary behavioral health analytics model. This strategic move significantly accelerates the enhancement of NeuroFlow’s analytics and AI capabilities and allows for the broad deployment of these powerful risk assessment models on a national scale. This will provide more healthcare organizations with the rich behavioral health intelligence they need to improve clinical decision-making and health outcomes.
This strategic deal builds upon and deepens the commercial partnership between NeuroFlow and Intermountain Health announced earlier this year. The two organizations will continue to collaborate on the evolution of the risk complexity model, with NeuroFlow making these enhanced capabilities available to other clients in 2025.
Intermountain Health has expertise in building and successfully implementing clinical workflows and robust data systems that have produced quality and cost outcomes for complex medical populations.
“Intermountain’s proven clinical workflow model is provided through high-functioning teams, an integrated mental and physical treatment plan, and the associated combination of targeted team resources. This provides highly effective and efficient pathways to positive outcomes,” said Dr. Brenda Reiss-Brennan, Mental Health Integration Implementation Science Senior Advisor at Intermountain Health.
The predictive complexity algorithm identifies relationships among the combined data variables, guides targeted-risk decision making and team treatment options, and provides feedback of the effectiveness of ongoing interventions and supports measurement of changes in a patient’s conditions over time.
“In primary care, there are many interdependent factors to consider when identifying mental and physical health, and social care needs,” said Tammer Attallah, MBA, LCSW, Behavioral Health Clinical Program Executive Director at Intermountain Health. “The creation of our standardized workflow assesses the complexity of these variables and offers shared decision support that identifies targeted, evidence-based physical, mental health, and social resources.”
Developed and refined over the past decade by Intermountain Health, one of the nation’s largest integrated delivery systems, this sophisticated model combines behavioral and medical health assessment data with clinical information to provide a more comprehensive, targeted and nuanced picture of patient health risk. The strategic move enables NeuroFlow to incorporate these advanced analytics into its existing platform, making it available to its existing partners nationally and further strengthening its position as a leader in behavioral health technology and data analytics.
“These sophisticated data models represent a significant step forward in our ability to help healthcare organizations more precisely and accurately identify and stratify behavioral health risks,” said Jeremy Kreyling, Senior Vice President of Healthcare Informatics at NeuroFlow. “Incorporating the clinical data from Intermountain’s robust model into our platform will provide the context health systems and plans need to make better care decisions.
For example, the model systematically uses data already available from multiple data sources; patient self-report, disease registries, EHRs, and claims, etc. not just to stratify, but to provide a more contextualized and effective integrated course of high-quality care.
The patient is often burdened to complete a significant number of screening and assessment tools, and the provider is burdened with how to integrate the multiple data points and where to start. This contributes to ineffective patient-provider engagement and missed opportunities for shared decision making for targeted outcomes.
This model removes much of the friction and burden on the patient and provides the care team with combined reliable relevant data for decision support. This simplifies the patient and provider experience while accounting for the patient’s unique medical history to provide whole person care and improve outcomes.
Earlier this year, NeuroFlow announced its acquisition of behavioral health assessment and measurement-based care company, Owl Health. By incorporating Intermountain Health’s advanced model into NeuroFlow’s expanded suite of assessments and natural language processing capabilities, NeuroFlow now brings to bear unparalleled insight into behavioral health risk and population health management. Healthcare organizations interested in learning more about NeuroFlow’s enhanced analytics capabilities can visit www.neuroflow.com.
