Suvi Health provides an AI‑driven care coordination platform that silently records patient‑family‑clinician conversations, transcribes them, and translates medical jargon into plain‑language guidance. The system delivers personalized, timeline‑based nudges and a clinician dashboard to track patient understanding, helping reduce repeat instructions and streamline discharge.
Funding
Funding not disclosed
Founders
Product
Problem
Patients and families often receive complex medical instructions during hospital stays but struggle to retain and act on them, leading to missed recovery steps. Care teams repeatedly repeat the same guidance, consuming time and contributing to longer hospital stays and stressful transitions to home.
Solution
Suvi Health offers an ambient AI care coordination platform that silently captures conversations among patients, families, and clinicians. The system transcribes and translates medical discussions into clear, personalized plain‑language guidance that can be revisited at any time. By delivering gentle, goal‑aligned nudges and highlighting unanswered questions, the platform helps patients follow recovery protocols and reduces the need for clinicians to repeat routine instructions. Care teams gain visibility into patient engagement and confusion points, allowing them to focus on higher‑value care while supporting smoother, faster discharges.
Target Audience
Primary users are hospital care teams—including nurses, physicians, and discharge coordinators—and the patients and families they serve during inpatient stays and post‑discharge recovery.
Features
- Unobtrusive audio capture that records patient‑family‑clinician interactions without disrupting workflow
- Real‑time transcription and AI‑driven translation of medical jargon into easy‑to‑understand explanations
- Personalized, timeline‑based guidance and nudges delivered to patients and families across care transitions
- Dashboard for clinicians showing engagement metrics, common questions, and areas needing attention
- Secure, HIPAA‑compliant data handling with end‑to‑end encryption for all captured content