Our newest episode of Geneia Conversations: Redefining Healthcare features Geneia’s chief analytics and technology officer Fred Rahmanian. In this episode, he fields questions about the Geneia Data Intelligence Lab, including:
- Why was the Geneia Data Intelligence Lab (GDI Lab) created?
- What kind of models are you most excited about? Hint: Fred is enthusiastic about the potential of patient similarity and automatic phenotyping and the creation of models that make it easier for care managers to identify which people with hypertension to prioritize.
- How can health plans, hospitals and physicians license Geneia models?
- What skills and experiences make someone an ideal candidate to work at the GDI Lab?
Fred also discusses the process the GDI Lab uses to create models. The highlight of the discussion for me was how our data scientists collaborate with the Geneia clinical team to test, iterate and improve the models.
After all, in many situations, nurses and care managers like those we have on staff at Geneia and their patients, are often are the ones who benefit most from GDI Lab models. As Fred discussed during the podcast, our hypertension model helps identify not only patients at risk for complications, but also the type of complications and the stage. That means care managers can prioritize their intervention and engagement efforts with stage 3 hypertensive patients most likely to experience complications. Equally important health plans, hospitals and physician practices can plan and better allocate limited care management resources.
Listen now to Geneia Data Intelligence Lab: Fred Rahmanian:
To listen to earlier episodes of Geneia Conversations: Redefining Healthcare, click here.