VisitOne is the world's first AI-native patient intake platform. It adapts to each patient in real time, generates clinical summaries, reconciles medications, flags anomalies — and syncs structured FHIR data to your EHR before the physician walks in.
Every day, a nurse hands a patient a clipboard with a 4-page paper form. That patient fills it out by hand. A different nurse types it into the EHR. Half the fields are illegible. Two are left blank. The physician walks in without a complete picture. This is how American hospitals operated in 1985. It is still how most operate today.
Every re-keyed form introduces clinical risk before the physician has even said hello.
Linked directly to handwriting misread at the point of EHR transcription.
In staff time spent processing paper. Multiplied across millions of daily encounters.
Paper forms visible in waiting rooms are a photographable breach risk.
Handwritten text cannot be searched, auto-coded, pre-filled, or analyzed.
The same device. Five AI-powered workflow modules. One managed fleet.
Mr. Johnson, 67M. Chief complaint: chest tightness × 2 days. HTN, hypercholesterolemia. Current meds: Lisinopril 10mg (EHR discrepancy flagged — patient reports 20mg), Atorvastatin 40mg. NKA. Denies DM, prior cardiac procedures.
The form changes based on each patient's answers. Complex histories get deeper questions. Healthy patients move faster. No static form can do this.
Patients speak naturally. VisitOne maps speech to structured clinical entries against a 50,000-drug database — with real-time confirmation.
Compares what the patient reports today against their EHR record. Flags every discrepancy for clinical review before the physician enters.
One paragraph. Plain English. Physician-ready. Delivered to the queue before the consultation begins.
Allergy conflicts, critical drug combinations, incomplete required fields — all surfaced automatically. No nurse has to check.
AI-adaptive forms, voice input, medication reconciliation, 20+ languages, FHIR R4 sync.
Core · LiveReal-time anomaly flags, completion patterns, language distribution, compliance reports.
Phase 2 · 2026AI-generated discharge summaries, medication reconciliation at exit, follow-up scheduling.
Platform · 2027AI-prompted bedside checklists — pain scores, fall risk, equipment — timestamped and EHR-synced.
Platform · 2027AI-personalized pre-procedure education. Post-visit satisfaction surveys replacing paper cards.
Platform · 2027VisitOne branches in real time based on patient responses. A patient reporting chest pain triggers the full cardiac screening module. A healthy 28-year-old skips it entirely. Static forms cannot do this.
"Intake time reduced 40% for low-complexity patients."
Patients say "I take a blood pressure pill and a water pill in the morning." VisitOne maps that speech to Lisinopril + Hydrochlorothiazide, confirms dosage, and asks clarifying questions — all without a nurse present.
"Transforms accessibility for elderly, low-literacy, and mobility-impaired patients."
Every medication the patient reports is cross-referenced against their existing EHR record. Discrepancies are flagged for pharmacist or nurse review before the physician walks in.
"Catches what paper intake and static forms miss by design."
When intake is complete, VisitOne generates a one-paragraph, plain-English clinical brief — chief complaint, relevant history, medications, flags — and places it in the physician's queue.
"The physician walks in knowing the patient. Not reading about them."
Allergy-drug conflicts, incomplete required fields, critical medication combinations — all detected during intake, not after. Nurses are alerted before the patient reaches the exam room.
"Moves clinical risk detection upstream by 15–30 minutes."
Across the fleet, VisitOne's analytics layer identifies patterns: where intake stalls, which languages are underserved, which shifts produce the most error flags. Administrators get intelligence, not just reports.
"Turns intake data into operational decisions."
Badge tap or PIN assigns session to scheduled patient. AI pre-loads known EHR data.
20+ languages. AI voice mode available for accessibility.
Form branches dynamically. Complex patients get deeper questions. Simple cases move faster.
Patient speaks freely. AI maps to structured clinical data and confirms in real time.
Medications cross-checked against EHR. Discrepancies and anomalies flagged instantly.
AI produces a one-paragraph physician brief and places it in the queue.
Structured data transmitted to EHR. Cryptographic session wipe. Device returned to dock.
High-volume, high-stakes. AI adaptive intake captures structured triage data in minutes, even for patients in pain.
300–800 bed facilities. Primary ICP. AI reconciliation is most valuable here — complex medication histories at scale.
Recurring patients. AI pre-fills and verifies, cutting intake to under 2 minutes for returning patients.
Paper-heaviest intake in healthcare. AI voice mode handles medication and allergy capture without a front-desk bottleneck.
High-frequency repeat patients. AI pre-fills known fields and flags only what has changed — intake under 90 seconds.
Complex medication lists. AI drug database maps entries and flags combinations requiring pharmacist review.
Built to hospital procurement standards from day one.
All deployments include on-site installation, staff training, and a 30-day pilot guarantee.
Request a pilot for your facility. 20 devices. 8 weeks. AI-powered outcomes documented.
Or email us: contact@visitiq.life
HIPAA-compliant form. Your data is never sold or shared. AI-processed submissions are reviewed by our clinical team within 24 hours.