Neuroncy connects ventilators, dialysis machines, imaging systems, and infusion pumps into one AI-powered clinical dashboard — built on HL7, FHIR, DICOM, and SNOMED CT. No new hardware required.
Neuroncy reads live data from the equipment your hospital already owns — no replacement, no rip-and-replace.
Every device's data goes through the same four stages — reaching exactly the right person, in the format they need.
Works with the devices already installed — no capital expenditure on replacement equipment.
Device readings flow directly into the record, cutting the 25–40% of a nurse's shift currently spent on manual documentation.
One unified view instead of switching between six device screens before every decision.
Pattern-based alerts across multiple vitals catch decline before a single-device threshold alarm would.
Built on open standards — not tied to any single device manufacturer's closed ecosystem.
Fragmented, siloed data is a leading contributor to missed clinical events — unifying it closes that gap directly.
Start with ICU and dialysis, expand to imaging, OT, and the rest of the hospital without re-architecting anything.
Indigenous platform — reduced dependency on imported, closed proprietary systems, with local support.
Every layer of Neuroncy speaks a standard your biomedical and IT teams already recognize.
The device-level messaging standard most ICU monitors, ventilators, and dialysis machines already speak — patient ID, treatment data, and alarms.
The modern REST/JSON standard we use to expose unified clinical data to dashboards, apps, and any hospital's HIS or EHR.
The imaging standard connecting X-Ray, CT, MRI, PET-CT, and ultrasound systems into the same clinical view as bedside devices.
Clinical terminology that keeps diagnoses, findings, and procedures consistently coded across every connected system.
Standard codes for lab results and clinical observations, so values mean the same thing regardless of which device produced them.
The device-data model underlying medical device communication — the common language our interoperability engine translates from.
Neuroncy is manufacturer-agnostic — compatibility comes from following open standards, not from a partnership with any single device maker.
Once devices are unified, Neuroncy's AI layer turns raw readings into decisions clinicians can act on.
Pattern-based detection across multiple vitals flags decline before a single-device threshold alarm would.
Device readings populate the clinical record directly — cutting the manual charting nurses currently do by hand.
AI flags underused equipment and overloaded departments in real time, so resources shift before a bottleneck forms.
Combines signals from every connected device into one patient risk view, instead of six separate readings.
