MOVO-X
Loading MOVO-X…
MOVO-X embeds AI into every layer of clinic operations — from the moment a patient walks through the door to the final insurance claim. Not a bolt-on AI tab. AI running inside every workflow.
These features are not prototypes or demos. They run on every patient at Klinik Muhibbah today.
Patient describes symptoms at the kiosk in BM, English, Tamil, or Mandarin. NLP maps natural language to clinical urgency — RED (immediate), YELLOW (priority), GREEN (routine). Queue is pre-sorted before the doctor even calls the first patient.
NFC scan of Malaysian national ID card extracts photo, IC number, name, DOB, gender, race, religion, and nationality in under 3 seconds. Zero manual entry. Identity is government-verified, PDPA-compliant, stored encrypted.
Claude Sonnet 4.6 embedded in the doctor console — streaming clinical decision support, drug information, lab interpretation, differential diagnosis, dosage calculations, and referral criteria. Context-aware: reads patient history, allergies, and vitals before answering.
Before the doctor calls the next patient, AI generates a structured brief: chronic conditions, last HbA1c / BP reading, outstanding investigations, current medications, allergy alerts, and reason for today's visit. Consultation starts informed.
Every appointment is scored before the day starts. Risk factors: past no-show history (25% weight), phone confirmation status (15%), no reminder sent (12%), new patient (10%), last-minute booking (8%), and more. High-risk slots get extra WhatsApp nudges automatically.
When booking an appointment, AI ranks available time slots by doctor utilization, predicted wait time, patient's preferred time window, and visit type duration. The top-scored slot surfaces first. Reduces booking friction and distributes load.
Wait time estimates are per-doctor, per-visit-type, per-time-of-day. AI learns that Dr Praba averages 8 min for General and 14 min for Chronic reviews, and that Monday mornings run 20% longer than Thursday afternoons. Patients see accurate estimates, not rough guesses.
Six product areas. AI embedded in each — not connected as an afterthought.
3 engines live today
3 engines live today
4 engines live today
2 engines live today
1 engines live today
1 engines live today
Features in active development. Reaching production clinics in the next 90 days.
Doctor speaks into the consultation interface. Whisper transcribes, Claude structures into Subjective / Objective / Assessment / Plan. Doctor reviews and saves in one click. The single biggest time-save for a GP — 4–6 minutes per patient back.
As the doctor types the diagnosis in plain language, AI suggests the correct ICD-10 code in real time. Accepts with one click. No code book, no manual lookup. Correct codes mean clean insurance claims and accurate population health data.
Before any prescription is saved, AI cross-references the drug against the patient's allergy list, current medications (interactions), G6PD status, renal function, and weight-based dosing thresholds. Alerts are specific, not generic — they name the exact interaction.
Returning patient scans MyKad. Kiosk checks their last visit: "Welcome back — your last visit was for hypertension on 12 May. Is this a follow-up or a new concern?" Pre-fills chief complaint, suggests their usual doctor, skips re-registration entirely.
From individual patient AI to whole-clinic population intelligence.
Aggregate intelligence across 26,928+ patient records. "312 diabetic patients haven't had HbA1c in 6 months." "89 children aged 12–18 months with no MMR record." Preventive care gaps, surfaced automatically.
AI segments lapsed patients into cohorts — by condition, last visit date, and contact responsiveness — then generates personalised WhatsApp messages per cohort. One-click send. Clinic never loses a patient silently again.
Before submitting a claim, AI scores rejection probability based on diagnosis + panel + historical acceptance patterns. Flags claims that commonly fail: "TakafulMalaysia rarely approves E11.9 without HbA1c — attach result before submitting."
Consultation is marked complete → AI generates a draft invoice from procedure codes, drugs dispensed, and lab orders. Reception approves in one click. No manual line-item entry. Reduces billing lag from hours to seconds.
Pharmacist opens a prescription. AI surfaces patient-specific counselling points per drug: "Tell this patient: Take Metformin WITH food. G6PD status: normal, Metformin safe. Return in 3 months for kidney function check." Personalised, not generic.
At 10:45am: "Peak incoming in 30 minutes — 12 patients expected by 11:30 based on Monday morning patterns. Suggest calling Dr Prabagaran back from break." Proactive, not reactive.
Revenue intelligence, predictive churn, voice-first workflows.
AI cross-references consultations vs invoices to surface revenue leakage — patients seen but not billed, incomplete insurance claims, deposit balances left unused. Flags patterns, not just incidents.
Every active patient is scored monthly on likelihood of not returning — time since last visit, outstanding balance, complaint history, distance, demographics. Top churn-risk list drives the re-engagement engine.
Doctor marks "refer to cardiologist." AI drafts the referral letter: patient demographics, reason for referral, relevant history, investigations, urgency. Doctor edits and prints. Currently 5–10 minutes. With AI: 30 seconds.
Patient speaks symptoms aloud in BM, Tamil, Mandarin, or English. Whisper transcribes, Claude maps to structured chief complaint. Removes literacy and language barriers. Critical for elderly and foreign-national patients.
All AI inference runs in-region. Patient data is never sent to third-party AI providers for training. PHI is stripped before any external API call. PDPA (Malaysia), HIPAA, GDPR, and 36 additional data-protection regimes are met by design — not by configuration.
Hardware ships in 3 days. Software configured remotely. Your first AI-verified patient on day 7. No lock-in, no integration fees, one support line.
Active in 174+ countries · 27,521+ patients in production · Zero service incidents