Rural Georgia-based ACO Reduces Avoidable Admissions by 4% Using Prescriptive AI to Focus Proactive Care on the Most Impactable Patients

A rural Georgia-based Medicare ACO has the difficult task of serving over 16,000 Medicare beneficiaries across multiple hospitals, made all the more complex by their limited resources and small teams spread across the region.

With both a decentralized patient population and decentralized PHCs operating across multiple EHRs, the ACO struggled to identify patients at risk of avoidable admissions and assign to care teams for early intervention.

However, with Lightbeam’s Prescriptive AI and Care Management, the ACO saved 41 hours each week, recognized a 3.9% average admission rate reduction, and addressed 21% of avoidable admissions risk. Learn how by downloading this case study.

Vendor:: Lightbeam Health Solutions
Posted:: Mar 5, 2025
Published:: Mar 5, 2025
Format:: HTML
Type:: Case Study

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