Real-Time Analytics
Analytics computed and displayed with sub-second latency on live operational data.
Real-time analytics in MOVO-X processes queue events, check-in transactions, and patient flow transitions as they occur, updating dashboards in under 1 second. This enables operations staff to respond to developing issues — a queue building faster than expected, a doctor running late, a kiosk going offline — before they become patient-visible problems. MOVO-X uses Supabase Realtime (PostgreSQL LISTEN/NOTIFY → WebSocket) for sub-second dashboard updates.
Related Terms
Queue Analytics
Data-driven reporting on patient flow, wait times, throughput, and bottleneck patterns.
Real-Time Queue
A live queue view that updates instantly as patients check in, are called, or leave.
Predictive Analytics
Statistical models and ML algorithms that forecast future events from historical data patterns.
Use MOVO-X for Real-Time Analytics
MOVO-X is Malaysia's leading platform for real-time analytics in hospitals and clinics. PDPA 2010 compliant, PHFSA 1998 compliant, MyKad NFC ready.