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Case Studies

Case Study — Medical Home Network Enriches Predictions with SDoH Data

Read how incorporating SDoH data into its models allowed Medical Home Network to proactively identify and connect individuals likely to incur high costs with care management resources and community-based organizations.

Chicago-based Medical Home Network (MHN) is driven by a mission to transform care and improve health outcomes for safety net populations and is creating community-based, clinically integrated systems of care that focus on the whole person. To reduce preventable spending, MHN connects individuals likely to incur high costs with care management resources and community-based organizations that address social determinants of health (SDoH).

‍In partnership with ClosedLoop, Medical Home Network was able to use SDoH data in their risk stratification methods to identify 41% more of the individuals with the highest 5% of spending that enabled improved intervention targeting.

‍Read the case study.

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Related Resources

Case Studies

Case Study — Healthfirst Achieves Agile AI/ML in Healthcare

Learn how Healthfirst’s analytics team has dramatically enhanced its ability to train, test, and deploy AI-based models. The team has developed 978 custom features to supplement 612 features created using ClosedLoop’s pre-built templates.

Case Studies

Case Study — CareATC: Breaking the Rules

With a mission to help employers save money on healthcare by improving their members’ health, CareATC was the first in its sector to implement rules-based predictive analytics for member costs and health risks at an individual level.

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.

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

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