At its heart, the Geneia Data Intelligence Lab (GDI Lab) uses leading-edge data science to drive lower healthcare costs and improve health outcomes.
Our lab prioritizes projects that address major cost drivers and enable our clients – health plans, hospitals, physicians and their value-based partners – to identify, stratify and predict high-cost patients and conditions such as heart failure and diabetes.
Our models help clients to intervene earlier with patients whose risk is expected to rise and/or who are at risk for major, expensive conditions, allowing healthcare organizations to mitigate future costs while improving the health of those they serve.
GDI Lab analytic models help clients intervene earlier with patients whose risk is expected to rise and/or who are at risk for major, expensive conditions, allowing healthcare organizations to mitigate future costs while improving the health of those they serve.
In collaboration with Geneia clinicians, the GDI Lab develops and continuously refines algorithms to help our clients move from insights to increasingly sophisticated targeted actions.
Given the burden of chronic disease, two primary foci for the GDI Lab are:
- Predicting the onset of chronic disease for those that don’t have it yet
- Predicting the complications of chronic disease for those already diagnosed
The GDI Lab developed a series of analytic models to help health plans manage the health impacts and costs of chronic illness. Download the white paper to learn more.
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Six best practices: Integrating analytics into population health
We develop, implement and use analytic models for chronic disease.
Geneia Conversations: Payers, Telehealth and Behavioral Health
In January, psychotherapy became the most common telehealth procedure.
Geneia Conversations: Health Plans, AI and Chronic Disease
A data scientist and clinician discuss the hypertension complications model
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Geneia data scientists to present at Predictive Analytics World
Using analytics to manage the impacts of chronic conditions
Geneia: Using AI to manage chronic illness, population health
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Next-Generation Identification, Stratification and Engagement Improves Triple Aim
Geneia Data Intelligence Lab: Predicting Opioid Abuse & Overdose
Geneia Data Intelligence Lab: Using AI to Drive Lower Healthcare Cost
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How health plans use AI to manage chronic disease
AI Model Interpretability Explained
Using Analytics to Predict Opioid Misuse
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Webinar: Using AI to Improve Population Health
AI Fireside Chat Series: Do you think AI has lagged in healthcare?
AI Fireside Chat Series: What's the low-hanging fruit of AI in healthcare?
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