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Videos and Podcasts

How AI/ML Can Harness SDoH Data to Improve Health Equity and Total Cost of Care

Learn why incorporating SDoH into your health equity strategy is key to success in value-based care and get specific examples of how to create structured SDoH data for use in AI/ML approaches.‍

Social determinants of health (SDoH) have outsize influence on health outcomes and total cost of care. Identifying and addressing SDoH have 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, Carol McCall and Amrita Chadha of ClosedLoop 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.

Register to watch the recording now.

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Related Resources

Videos and Podcasts

A Framework for Measuring the ROI and Health Equity Impact of AI-Enabled Health Programs

Discover a useful framework that your organization can use to evaluate programs’ ROI and impact on health equity, especially when introducing an artificial intelligence / machine learning component.

Videos and Podcasts

AWS Accelerator Focus on Health Equity

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.

White Papers

Precision Health Intelligence – The Key to Population Health Success

Learn what practical steps forward-thinking organizations can take to maximize the impact of Precision Health Intelligence systems.

Make AI/ML a core element of your care strategy.

Get in touch today to see the ClosedLoop platform in action.