VitalSync is working with UCSI Hospital and Institut Jantung Negara toward pilot deployment: edge AI, fully on-premise, built for the realities of Malaysian ICUs. This page follows that work. Results will be published here once the pilot completes and our partners sign off.
Alarm fatigue is a global crisis — but in Malaysia, three local factors make it acutely worse.
Malaysian ICUs generate up to 45 alarms per patient per hour — with 80–99% classified as non-actionable. Nurses experience up to 700 alarms per shift, creating severe cognitive overload.
Staff shortages across public and private Malaysian hospitals mean one nurse frequently covers 5–8 patients. This leaves little capacity to investigate every alarm — dangerous when real events are buried in the noise.
Many Malaysian hospital facilities operate with intermittent internet connectivity, especially in secondary cities. Cloud-dependent AI solutions simply cannot be trusted in this environment.
VitalSync is deployed on a single, hardened edge computing device that sits physically within the hospital network. Patient data never leaves the building. The system operates fully offline and processes all AI inference locally.
The pilot measures alarm burden per patient per shift, deterioration warning lead time, alert precision and sensitivity, and nursing time returned to direct care. Each figure will appear here with its methodology once validation completes and our hospital partners sign off on publication.
Full clinical validation study in progress. Endpoints benchmarked against peer-reviewed alarm management literature.
VitalSync's clinical direction is shaped by practising clinicians. Their perspectives will appear here in their own words; we do not publish quotes we have not been given.
