Improving health outcomes with data and AI - Dave DeCaprio, ClosedLoop.ai
Description
We sat down with Dave DeCaprio to talk about predicting preventive interventions in healthcare, designing for explainability, bias and fairness, as well as building a domain-specific language to operate the platform, working on the human genome project and the forthcoming healthcare data revolution.
Dave is the CTO & Co-founder at ClosedLoop.ai. Purpose-built for healthcare, ClosedLoop is a data science platform built specifically and exclusively for healthcare that combines an intuitive automated machine learning platform with a comprehensive library of healthcare-specific features and model templates. Customers use ClosedLoop's Explainable AI to drive clinical excellence, operational efficiency, value-based contracts, and enhanced revenue.
Example applications include predicting unplanned hospital admissions, recommending palliative care, predicting total utilization/cost, preventing ED over-utilization, reducing out-of-network utilization, avoiding appointment no-shows, predicting chronic disease onset or progression, improving clinical documentation and reimbursement, and dozens more.
ClosedLoop raised $50M and is backed by Greycroft, .406, and Telstra Ventures among others.
Timestamps:
0:00 - Healthcare Data Science Platform
05:58 - Population health and other use cases powered by ClosedLoop
13:35 - Value-based care in the US
19:40 - AI systems powering ClosedLoop
28:20 - Designing for explainability
35:15 - Approaching bias and fairness
40:20 - Starting ClosedLopp
49:52 - How to think about your company mission and the team you bring in
53:17 - Convincing first customers and getting access to data, fundraising
1:00:54 - Winning an AI Health outcome challenge - the largest AI health competition ever sponsored
1:05:52 - Healthcare data revolution
Links:
Web: https://www.closedloop.ai/
Linkedin: https://www.linkedin.com/company/closedloop-ai/
Twitter: https://twitter.com/closedloopai
Health Outcomes Challenge: https://www.cms.gov/newsroom/press-releases/cms-selects-winner-and-runner-artificial-intelligence-health-outcomes-challenge
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