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Geneia Data
Intelligence Lab

Solving healthcare’s most intractable problems.

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.

Featured Resource

Chronic disease care: Essential AI for health plans

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.

Chronic disease care: 4 essential AI models for health plans

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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How Geneia data scientists and clinicians collaborate to create and hone predictive models
Data Science
Geneia Conversations: Health Plans, AI and Chronic Disease

A data scientist and clinician discuss the hypertension complications model

How health plans use predictive analytics to manage diabetes, hypertension and heart failure
Data Science
Chronic disease care: Essential AI for health plans

Predicting Diabetes, Heart Failure and Hypertension Complications.

Geneia clinicians help improve the usability of our predictive analytic models
Data Science
How Geneia data scientists collaborate with clinicians

Geneia clinicians help improve the usability of our analytic models.

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Geneia discusses using AI to manage chronic conditions at World Congress Healthcare webinar
Using analytics to manage the impacts of chronic conditions
Geneia discusses using AI to manage chronic illness and improve population health at MHA webinar
Geneia: Using AI to manage chronic illness, population health
Horizon-and-Geneia-Simplifying-Value-Based-Patient-Centric-Care
Horizon and Geneia: Simplifying value-based, patient-centric care

Explore GDI Lab Publications

Next-Generation Identification, Stratification and Engagement Improves Triple Aim
Data Science
Next-Generation Identification, Stratification and Engagement Improves Triple Aim
Geneia’s model accurately identified 80 percent of the people
Data Science
Geneia Data Intelligence Lab: Predicting Opioid Abuse & Overdose
Data Science
Geneia Data Intelligence Lab: Using AI to Drive Lower Healthcare Cost

Explore GDI Lab Podcasts    View All >

How health plans use AI to manage chronic disease
Data Science
How health plans use AI to manage chronic disease
AI Model Interpretability Explained
Data Science
AI Model Interpretability Explained
Using Analytics to Predict Opioid Misuse
Data Science
Using Analytics to Predict Opioid Misuse

Explore GDI Lab Videos   View All >

Data Science
Webinar: Using AI to Improve Population Health
Data Science
AI Fireside Chat Series: Do you think AI has lagged in healthcare?
Data Science
AI Fireside Chat Series: What's the low-hanging fruit of AI in healthcare?
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