How Dyania Health's AI speeds up patient chart reviews in hospitals
According to NVIDIA Generative AI: Dyania Health built Synapsis AI, a clinical reasoning engine that processes decades of unstructured patient records inside hospital firewalls. By using NVIDIA technology, the system connects years of medical notes to automate chart reviews, helping clinicians quickly identify patients who need attention while keeping all data secure on-site.
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According to NVIDIA Generative AI:
How Synapsis AI Works
Hospitals accumulate vast amounts of patient history in free-text formats like physician notes and operative reports. Dyania Health developed Synapsis AI to read across these scattered documents, connecting findings from years apart to answer complex clinical questions and surface actionable signals for care teams.
Security and Local Processing
To protect patient privacy, Synapsis AI operates entirely on NVIDIA-accelerated computing inside the health system's firewall. The platform is trained using NVIDIA NeMo libraries and optimized via TensorRT, allowing hospitals to process records onsite without sharing sensitive data externally.
Real-World Application at Cleveland Clinic
In a study involving over 7,800 aortic valve replacement patients between 2005 and 2021, Cleveland Clinic utilized Synapsis AI to review historical charts and build predictive models for valve deterioration and reintervention risks. According to the health system, this approach completes manual chart reviews that would otherwise take years, with clinicians retaining final decision-making authority.
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