Predictive Modeling for Healthcare with Dave Decaprio from ClosedLoop

Impact AI

In the words of Dave DeCaprio, “We need to move from a reactive healthcare system to a proactive one.” Dave is the CTO and Co-founder of ClosedLoop, a data science platform for healthcare that is using predictive AI to make this crucial shift.

In this episode, we learn about the problem he identified in the healthcare system that he felt he was uniquely set up to solve given his background, and how ClosedLoop is working to solve it. Dave shares use cases for ClosedLoop’s predictive models and the challenges he’s encountered in applying predictive modeling to health data. We find out why model interpretability is so important and learn about the role of human mediation in ClosedLoop’s applications. Dave explains the ways in which biases manifest in the world of health data and how ClosedLoop measures and mitigates bias. To find out how ClosedLoop measures its models over time, as well as the impact of its technology, tune in! Dave closes with some astute advice for other leaders of AI-powered startups and his vision for the near-future impact of ClosedLoop.

Key Points:

• Dave DeCaprio's background and how it led to the creation of ClosedLoop.
• The healthcare problem he felt he was uniquely set up to solve.
• What ClosedLoop does and why it’s important for healthcare.
• Use cases for ClosedLoop’s predictive models.
• The challenges of working with health data and applying predictive modeling to it.
• Why the model interpretability in ClosedLoop’s applications matters.
• Human intelligence mediation in the interpretation process.
• How ClosedLoop won the CMS AI health outcomes challenge.
• Examples of how bias manifests in models trained with health data; how to measure and mitigate bias.
• How ClosedLoop monitors its models over time and how COVID affected its accuracy.
• The way ClosedLoop measures the impact of its technology.
• Dave’s advice for other leaders of AI-powered startups.
• His vision for the near-future impact of ClosedLoop.

Quotes:

“There were a lot of things I felt were broken about healthcare that I couldn’t do anything about, but I kept coming back to this idea of using all the right data to make the right decisions and getting the right treatment to the right patient at the right time.” — Dave DeCaprio

“[We] put ClosedLoop together to basically tackle this data science and AI in healthcare challenge.” — Dave DeCaprio

“Where prediction in AI plays a huge role in healthcare is moving from a reactive to a proactive system.” — Dave DeCaprio

“Healthcare data is very complex. There are tens of thousands of diagnosis codes, there are hundreds of thousands of drug codes, and they’re constantly changing.” — Dave DeCaprio

“In almost all cases, the output of our model is mediated with human intelligence in order to actually make a decision about a patient’s care.” — Dave DeCaprio

“The most powerful measures of the impact are the stories we get from our customers.” — Dave DeCaprio

“If you want to build a robust company that’s going to be successful year after year and be able to grow and really tackle these problems, you eventually have to show tangible demonstrable benefits.” — Dave DeCaprio

Links:

Dave DeCaprio on LinkedIn

ClosedLoop

ClosedLoop on Twitter

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