AI-Powered Lung Ultrasound Cuts Costs, Stay in JAMA Study
A QI analysis of a Butterfly-enabled POCUS program—centered on lung ultrasound for pulmonary congestion and assisted by an AI B-line Counter—was related to 246 bed-days freed and $751,537 in direct price financial savings in admissions for undifferentiated dyspnea, together with acute heart-failure exacerbations.
Butterfly Network, Inc. (NYSE: BFLY), a digital well being firm remodeling care by transportable, semiconductor-based ultrasound expertise and intuitive software program, right this moment introduced that the complete outcomes of the POCUS for Cardiopulmonary Assessment and Resource Evaluation (POCUS-CARE) trial have been revealed in The Journal of the American Medical Association (JAMA).
The examine, led by researchers at Rutgers Robert Wood Johnson Medical School (RWJMS) and supported by Butterfly Network, discovered that integrating a hospitalist POCUS workflow—closely targeted on lung ultrasound (LUS) for pulmonary congestion and assisted by an FDA-cleared Auto B-line Counter—along with targeted cardiac views into the routine evaluation of adults admitted with undifferentiated dyspnea was related to shorter size of keep and decrease direct hospitalization prices. In this six-month stepped-wedge quality-improvement (QI) analysis that reached 208 sufferers, the collaborative mannequin (hospitalists with sonographer mentoring and distant heart specialist assist) was related to 246 hospital bed-days saved and $751,537 in direct price financial savings.
“Publication in JAMA additional validates the rising physique of proof supporting POCUS as a worthwhile diagnostic and effectivity software in inpatient care,” mentioned Dr. Partho Sengupta, Henry Rutgers Professor of Cardiology and Chief of Cardiovascular Diseases and Hypertension at RWJMS and Chief of Cardiology at Robert Wood Johnson University Hospital, an RWJBarnabas Health facility, and principal investigator of the examine. “These findings present that structured use of POCUS on the bedside, enabled by collaborative workflows, might help enhance affected person care and hospital useful resource utilization.”
Key findings from the examine embody:
- Clinical impression: POCUS modified medical administration in 35% of circumstances.
- Health financial advantages: The POCUS group (n=101) demonstrated an general 30% discount in anticipated hospital size of keep (8.3 vs. 11.9 days, p = .01), a profit noticed throughout each low- and high-acuity affected person subgroups. The incremental cost-effectiveness ratio was $3,055 per hospital mattress day saved, underscoring the financial worth of integrating POCUS into inpatient care.
- Efficiency & workflow: Daily lung ultrasound (LUS) with B-line monitoring was a key examination part, supporting administration and dashing discharge.
“The examine displays Butterfly’s dedication to serving to generate high-quality medical proof in assist of scalable, sustainable POCUS integration throughout the healthcare continuum,” added Dr. John Martin, Chief Medical Officer Emeritus, Butterfly Network. “By pairing hospitalist-led lung ultrasound with our AI Auto B-line Counter and cloud workflow, groups may standardize and pace congestion evaluation—supporting earlier, better-informed choices and hospital effectivity.”
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