From AI triage in Bahasa Malaysia to queue prediction calibrated for Hari Raya peaks — every capability is built for the Malaysian healthcare context, not adapted from a generic Western platform.
ML model trained on Malaysian clinic visit patterns — time of day, day of week, seasonal peaks (Hari Raya, school holidays, public holidays). Predicts wait time ± 5 minutes for the specific facility.
Claude Sonnet (Anthropic) pre-consultation symptom screening at kiosk. Flags urgent cases for fast-track queue. Available in Bahasa Malaysia and English. Zero data retention mode — no patient data sent to Anthropic servers after processing.
Triage prompts and responses fully available in Bahasa Malaysia. Patient can describe symptoms in BM — AI responds and classifies in BM. Supports code-switching (BM + English).
Patient history pre-loaded for KPJ and MOH facilities with KCIS access. Returning patients see relevant prior visit data on kiosk — reducing manual data entry and improving triage accuracy.
Returning patient medical records pulled for qualifying facilities. Integration follows MOH MyHealth portal API specifications.
Facility-level AI insights: no-show prediction, busiest department identification, staff scheduling recommendations, revenue per visit trending.
The first operational MOVO-X AI healthcare deployment in Malaysia. Active since 2025. Full AI kiosk, MyKad check-in, queue management, WhatsApp notifications, and analytics running in a live Johor clinic environment. Used as proof-of-concept for MOH-standard facilities in the KPJ Healthcare Group tender.
Arrange a site visit →Malaysian-specific, PDPA 2010-compliant, KCIS-ready. Talk to our team.