A Data Science and Healthcare Analytics Company
Our commitment to helping healthcare organizations use data and
analytics to provide personalized care earned a high score in the
KLAS Value-Based Care Managed Services segment.
Analytics and Insights for Population Health
Clients use our cloud-based technology, identification and stratification methodology and insights derived from our AI-driven data models to identify and engage the right patients with the right care at the right time, leading to improved cost, quality and health outcomes.
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Data Science for Healthcare's Intractable Problems
PhD-level data scientists in the Geneia Data Intelligence Lab develop and deliver innovative AI-driven models that fuel our product insights. Our novel predictive and prescriptive models help identify patients at risk for poor health outcomes, complications from chronic conditions, high cost procedures, opioid addiction, and more.
Learn moreEnhanced ID and Stratification for Greatest Impact
Our enhanced identification and stratification process, which uses retrospective claims data and our in-house data models, allows healthcare organizations to accurately identify and prioritize patients by clinical markers, risk, cost, utilization or a combination.
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Actionable Insights
and Workflow for Engagement
Our technology was built to support population health management at scale, driving proactive, sustained and prioritized engagement. Insights and information at the population and individual patient levels allow healthcare organizations to take actions and inform clinical and operational decisions.
Learn moreClients & Partners:
Geneia Conversations: Clinician Burnout and Resiliency
Resiliency training is a powerful tool to fight burnout.
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Taking care of those who take care of us
Resiliency training for healthcare professionals is a powerful tool to fight burnout.
Six best practices: Integrating analytics into population health
We develop, implement and use analytic models for chronic disease.
Geneia Conversations: A COVID-19 Double Lung Transplant Recipient
Chief data scientist Fred Rahmanian discusses his patient journey.
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A COVID-19 Double Lung Transplant Recipient
Chief data scientist Fred Rahmanian discusses his COVID-19 patient journey
Webinar: Population-Level Risk Stratification of Hypertensive Patients
Geneia data scientists developed a three-step approach to identify and risk-stratify hypertension member groups.
WHITE PAPER
Want to better engage your providers?
Engaging providers in value-based care is hard,
but not impossible when health plans adopt proven strategies.