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
Using Low Dimensional Representation of Medical Concepts to Improve Population Health
Chief Analytics and Technology Officer Fred Rahmanian discusses how Geneia’s use of low dimensional representation of medical concepts allows health plans, hospitals and physician organizations to better identify, stratify and engage patient cohorts.
This presentation was originally part of the Predictive Analytics World for Healthcare 2020 virtual conference on June 3rd, 2020.
Explore GDI Lab Blogs
A Ripe Opportunity for Medicare Advantage Plans
Highest grossing margins ever means the time is right to get the most out of MA.
Geneia Conversations: Opioid Predictive Model
Principal lead data scientist Jasmine McCammon discusses her opioid model.
Simplify care management with predictive analytics
Prioritizing care management resources for the hypertension population.
Explore GDI Lab in the News
Webinar: How Geneia Uses Machine Learning and Analytics to Drive Innovation
Geneia’s opioid model identifies 80% of people likely to have abuse diagnosis or overdose event
Explore GDI Lab Publications
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 Videos
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?
Questions?
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