Downloadable Resources

In this Millennium Alliance Live podcast, Andrew Eye, CEO at ClosedLoop, breaks down AI's role in driving down the total cost of care and improving clinical decision-making to produce better health outcomes. He addresses historic concerns about the use of AI, explains how organizations can most effectively incorporate AI, and describes how ClosedLoop became the recognized industry leader in healthcare AI.

Beyond Innovation Co-host Anthony Lacavera speaks with Henry Legere, Founder & CEO of Reliant Immune Diagnostics and Andrew Eye, Co-founder & CEO of ClosedLoop AI, about the different ways each company is using artificial intelligence to improve access to and the quality of healthcare for patients.

In this podcast episode, Dave DeCaprio, Co-Founder and CTO at ClosedLoop, sits down with Ian Alrahwan of the The University of Texas at Austin AI Heath Lab. Together, they discuss where AI and ML fit into clinicians' decision-making process and the rationale behind training models on specific populations. Dave shares the story behind ClosedLoop's CMS AI Challenge win and why the ability to rapidly experiment set the company apart.

Andrew Eye, CEO and co-founder of ClosedLoop, and Amanda Goltz, lead for the AWS Accelerator focused on health equity, join the AWS Health Innovation podcast to discuss how startups are addressing health equity. Hear how the AWS Accelerator supports healthcare startups, how the aims of health equity are aligned with value-based care, and why Andrew believes local data is so essential to building powerful, unbiased predictive models in healthcare.

Learn how CareATC used ClosedLoop to replace rules-based risk stratification with machine learning. 75% of individuals for whom ClosedLoop’s predicted costs were more accurate than a rules-based system, and with ClosedLoop, CareATC achieved a 2.3X increase in identification of unplanned hospital admissions vs. their baseline.

You can’t buy a predictive model off the shelf. And if you COULD… would you? It’s the old “build versus buy” debate, and with data in a constant state of change, building and deploying AI is more challenging than ever. Join Tim Gasper, Juan Sequeda, and Andrew Eye, CEO of ClosedLoop, on data.world's catalog & cocktails podcast to hear them discuss the challenges of AI deployment, AIOps, and maintaining models as data changes.

Tune into this webinar with AIMed to hear Carol McCall, Chief Health Analytics Officer at ClosedLoop, describe how: (1) there are still significant gaps in evidence regarding effective health equity interventions, (2) closing this gap will require expanding the ways evidence is created and used, and (3) organizations are better positioned than they may think to adopt new methods now and can play an active role in improving health equity.

AI isn’t just the future of healthcare, it’s here today and driving improved outcomes and real impact. In this webinar with Massachusetts Health Data Consortium, ClosedLoop's Carol McCall and Dave DeCaprio will discuss measuring tangible ROI for predictive systems, creating explainable AI, addressing algorithmic bias, and overcoming the deployment challenges of machine learning models.

What do participants need to consider in order to succeed in CMS' new program, ACO REACH? Join Carol McCall of ClosedLoop for a conversation with Debbie Finnel, CEO of ilumed, to learn how ilumed is planning for success in ACO REACH.

Let’s take a look at each of the 5 steps in the Disparities Impact Statement and how you can go beyond checking the boxes to ensure ACO REACH program success.

Social determinants of health (SDoH) have an outsized influence on health outcomes and total cost of care. Identifying and addressing SDoH has the potential to improve outcomes, reduce costs, and improve health equity—particularly important goals for ACO REACH participants and other value-based care organizations. In this webinar, ClosedLoop's Carol McCall and Amrita Chadha will discuss why incorporating SDoH into your health equity strategy is a key to success in value-based care and show specific examples of how to create structured SDoH data for use in AI/ML approaches.

Healthfirst partners with ClosedLoop.ai as part of its strategy to develop timely predictive insights through operationalized Artificial Intelligence (AI) solutions that help drive member engagement and better health outcomes. By using AI technology to analyze claims and other population health data points, Healthfirst is able to identify health risks and predict health outcomes on the individual level in order to help guide its members to preventive actions. In 2021, Healthfirst was among several other investors to participate in a $34 million Series B round of investments for ClosedLoop.ai.