Suvi Health launches ambient AI solution for patients to reduce hospital stays and support care transitions
Startup Suvi Health developed an ambient AI platform for patients to close gaps at critical transition points and support the handoff between hospital care teams and patients and their families.
Suvi Health has developed an ambient AI platform aimed at improving patient care transitions and reducing hospital stays. The innovative technology listens to bedside conversations, turning information into a shared plan that patients, families, and care teams can follow. This platform is designed for use both inpatient and post-discharge at home, allowing patients to better understand their care, remember complex medical instructions, and prepare for follow-up appointments.
Co-founder and CEO Kelly Benning emphasized the importance of addressing patient confusion, missed details, and lost information during care transitions. Benning's personal experiences led to the inception of Suvi Health, with a focus on ensuring patients are informed and connected during critical moments of care. The platform was incubated within the 1842 Studio, a venture studio supported by the 1842 Fund, and partnered with Mayo Clinic Florida and researchers at the University of Notre Dame to clinically ground the app and ensure responsible use of protected health information.
Suvi Health's AI companion works quietly in the background, capturing guidance, decisions, and encouragement without interrupting clinician workflow or Electronic Health Record (EHR) workflow. The platform uses a bounded knowledge engine to ensure accurate answers are provided, pulling information only from the care conversation or the Mayo Health Information Library.
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