Using AI to drive lower healthcare costs | Geneia

Using AI to drive lower healthcare costs

June 18, 2019
Fred Rahmanian, Chief Analytics and Technology Officer


The Geneia Data Intelligence Lab uses AI and other leading-edge techniques to lower healthcare costs.

As the father of triplets, I’ve certainly had my fair share of proud moments: scoring highest on the PSAT and actively volunteering in our community, just to name a few. I’m pleased to tell you that I’m every bit as proud of the Geneia Data Intelligence Lab and the work we do. 

The Geneia Data Intelligence Lab

At its heart, the Geneia Data Intelligence Lab (GDI Lab) uses leading-edge data science to drive lower healthcare costs.

Our lab prioritizes projects that address major cost drivers and enable our clients – physicians, health plans, hospitals and employers – to identify, stratify and predict high-cost claimants 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 health plans, hospitals, physicians and employers to mitigate future costs.

The Geneia Data Intelligence Lab Team

We’ve introduced you to some of our PhD-level data scientists in earlier blogs:

To round out the team, we have recruited and trained a group of masters-level data scientists, analysts and engineers dedicated to building predictive and increasingly prescriptive models. This rare level of talent and experience means the GDI Lab can develop, interpret and work with unique models and create specific, targeted algorithms related to cost. Just as importantly, Geneia has a large group of in-house clinicians that fully vet GDI Lab models to ensure their usefulness and clinical relevance. 

Containing the Costs and Complications of Prediabetes and Diabetes

Undoubtedly, you’ve heard us talk about Lucy*. She’s 42, the mother of two teenagers and a part-time caregiver for her elderly father. She also was one of the 84 million prediabetics unknowingly on the road to progressing to diabetes.

Lucy is one of the lucky ones: early identification and intervention stopped her prediabetes from progressing to full-blown diabetes, saving on future costs as well as disease complications that would affect her and her family.

The work we’ve done to help healthcare organizations contain the epidemic of prediabetes and diabetes is representative of complex challenges the GDI Lab is helping to address. The Onset of Type 2 Diabetes model, for example, yields the propensity to develop type 2 diabetes in the next 12 months. This model helps clients look a year into the future to target and engage those groups of members likely to be diagnosed with type 2 diabetes. Activating prediabetics like Lucy benefits healthcare organizations and their patients through the prevention of disease progression and complications and the avoidance of future costs.

To learn more about the models the Geneia Data Intelligence Lab is creating to drive lower healthcare costs, download our white paper, Using AI to Drive Lower Healthcare Costs.  

Download the white paper

*Lucy is fictional and not intended to represent any specific person. This information is provided for illustrative purposes only.


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