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A patient intake kiosk does more than check the patient in — it completes the intake. By the time the patient sits in the consultation room, the clinician already has their demographics, chief complaint, allergies, consent, and preliminary ICD-10 codes.
Paper intake forms are slow, illegible, and never make it cleanly into the EMR. Digital forms on shared tablets are faster but still require staff to review and key-enter data. A purpose-built intake kiosk captures structured data at source and delivers it to the clinician in real-time.
Patient describes their reason for visit in their own words. On-device NLP extracts symptoms, duration, and severity, maps them to ICD-10/SNOMED-CT, and delivers structured coding to the clinician alongside the patient's original words.
Guided allergy and current medication capture with medication name auto-complete. Drug-interaction pre-screening flags potential conflicts before the clinician reviews.
Clinic consent forms presented at intake with e-signature capture. Time-stamped, IP-logged, and attached to the clinical record. Consent compliance rate reaches 99%.
Patient photographs referral letters, lab results, and previous prescriptions via the kiosk camera. OCR extracts key data; original image is attached to the visit record.
Insurance card photographed and parsed at intake. Coverage and co-pay confirmed in real-time via insurer API. Patient sees their liability before consultation starts.
All captured data writes directly to the EMR via HL7 FHIR R4. Zero double-entry. What the patient types is what the clinician sees — unmodified, attributed, timestamped.
Zero transcription errors from patient-to-EMR
Clinician has full intake data before patient enters the room
Consent compliance 99% vs ~70% on paper forms
5–10 minutes saved per consultation from pre-loaded intake data
Patient intake kiosk uses a React Native web-app optimised for single-handed 60cm-distance tap interaction. NLP runs on-device via ONNX Runtime for privacy. FHIR R4 Patient, Condition, AllergyIntolerance, and Consent resources are written to the EMR in a single transaction batch on intake submission. If the transaction fails (EMR timeout), the intake data is queued locally and retried with exponential back-off. Clinicians see a banner on the consultation surface indicating whether intake has synced.
Staff-assist override available via one tap. Voice guidance available in 12+ languages. The minimum viable intake is name + chief complaint — all other fields are optional and can be completed in the room.
Patient types or speaks their reason for visit. On-device NLP extracts structured symptoms mapped to ICD-10. The patient's original words are preserved alongside the structured codes so clinicians have both.
Yes. Known demographics are pre-filled for returning patients. They confirm or update, then proceed to chief complaint. Returning patient intake takes 45–60 seconds.
No. Intake data is transmitted only to the clinic's EMR and, for insurance verification, to the patient's named insurer. No third-party analytics or data brokers receive intake data.
Yes. MOVO-X e-consent implements the Electronic Commerce Act 2006 (Malaysia) signature requirements: intentional signature act, identity attribution, and tamper-evident record.
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