Saint Peter's University Hospital uses Lightbeam AI to identify at-risk patients, reduce ED visits

Saint Peter's University Hospital
New Brunswick, N.J.

Saint Peter's University Hospital uses Lightbeam AI to identify at-risk patients, reduce ED visits

In another innovative application of artificial intelligence, Lightbeam Health Solutions and Saint Peter's University Hospital, a 478-bed acute-care teaching hospital in New Brunswick, N.J., have achieved a 7.1% reduction in emergency department visits among high-risk patients. The decrease was driven by Lightbeam’s AI-enabled program that predicts which patients are at risk of avoidable ED visits within 90 days. The tool leverages social vulnerability data to enable early interventions and care coordination without requiring complex system integrations or costly clinical data inputs.

By detecting social vulnerabilities, which account for 80% of health outcomes, Lightbeam's social determinants of health AI tool prescribed recommendations that allowed care teams to intervene proactively, reducing avoidable ED utilization and associated costs.

"Lightbeam AI identified patients with food and transportation needs, empowering our clinical team to make efficient referrals to existing programs, ultimately enabling us to more effectively serve a growing and predominantly vulnerable population," said Ishani Ved, director of Transformational Population Health and Outcomes at Saint Peter's Healthcare System.

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