Lightbeam Health Unveils AI Solution for Enhanced Patient Care at HIMSS'25
Lightbeam’s fully integrated, AI-powered technology suite operated on data to reduce overutilization and maximize savings across various levels of care.
Lightbeam Health Solutions, has recently unveiled its AI solution for patient care at the HIMSS25, which occurred from March 3-6, 2025, in Las Vegas, NV.
Lightbeam’s fully integrated, AI-powered technology suite operated on data to reduce overutilization and maximize savings across various levels of care.
According to the company, the AI tech offers value-based care (VBC) organizations with essential tools for risk stratification, care coordination, and improved patient outcomes. Key capabilities included predictive analytics, which enabled risk stratification and predicted reduced avoidable admissions while promoting health equity, achieving a 23.6% reduction in readmission risk.
Additionally, Lightbeam presented prescriptive AI insights that facilitated personalized care coordination at scale, analyzing over 4,500 clinical and social determinants of health (SDOH) factors per patient. This analysis yielded deeper insights, enhancing and hyper-personalizing care coordination effectively.
The Best in KLAS deviceless Remote Patient Monitoring (RPM) technology also featured prominently, showcasing scalable AI-powered call and text-based monitoring that expanded care management capacity tenfold and increased patient engagement and compliance.
By that time, Lightbeam had assisted healthcare organizations in generating over $5 billion in value-based care savings.
“We are committed to supporting our clients with leading-edge technology that maximizes savings and patient impact in VBC organizations,” said Paul Bergeson, Chief Revenue Officer at Lightbeam Health Solutions. “But beyond the innovation, we recognize that every data point represents a person. At HIMSS 2025, we look forward to showcasing how our solutions bring efficiency, insight, and compassion together to improve care at speed and scale.”
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