Conversational clinical workspace

Spend less time filing. Keep more clinical context.

Znapie lets a doctor describe a patient, dictate an update or attach a medical document. The assistant interprets the input, prepares structured actions and keeps the patient timeline and schedule connected.

Voice-first capturePatient timelinesDocument intelligenceNatural-language scheduling

Znapie Assistant

Ready to help

Add today's follow-up note for Anita Thomas. Fever settled after chemotherapy; schedule review in three weeks.
I've prepared the update

Matched to Anita Thomas

Clinical note added to timeline

Follow-up drafted for 3 weeks

ConfirmReview
Type or dictate a clinical update...
Today
Patients
Schedule

Mobile + Web

Work anywhere

One timeline

Patient context

Voice, text, files

Flexible input

Multi-specialty

Extensible design

Why it matters

Built around the work, not the paperwork

The challenge

Clinical context gets buried in admin work

Doctors often repeat the same information across forms, folders and scheduling tools. During a busy consultation, that friction competes with patient attention and makes follow-up context harder to retrieve.

The product

Talk naturally; let the workspace organize

Znapie provides one conversational entry point for notes, reports, images and schedule changes. It proposes the patient match, timeline entry and next action for confirmation, keeping the doctor in control.

Capabilities

One product. A connected workflow.

Each capability is designed to share context with the next, reducing repeated entry and disconnected decisions.

AI clinical workspace

Use a ChatGPT-style assistant to capture patient updates, retrieve context and initiate common clinical workflow actions.

Voice-first notes

Dictate naturally during or after a consultation, review the transcription and send it through the same structured workflow as text.

Document intelligence

Attach reports, PDFs or images for extraction, patient matching and a reviewable draft before information is filed.

Longitudinal patient timeline

See diagnoses, findings, treatment events, medications, documents and follow-ups in one chronological patient story.

Doctor scheduler

Create appointments and availability using natural language, then work across day, week and month views with workload context.

Clinical insight & research

Support summaries, reports and cohort-oriented research workflows from the same structured clinical foundation.

How it works

From input to actionable clarity

A focused flow that keeps teams moving without adding another layer of operational friction.

01

Capture naturally

Type, dictate, take a photo or attach a report from the AI workspace on mobile or web.

02

Interpret the context

The assistant identifies the intended action, relevant patient and appropriate timeline or scheduling context.

03

Review the draft

The doctor checks the proposed match, extracted details and action before confirming clinical information.

04

Stay prepared

Patient timelines, follow-ups, reminders, schedules and workload views stay connected for the next decision.

Designed for

The people closest to the work

Consulting doctors

Fast capture and retrieval during high-volume OP hours without navigating layers of clinical forms.

Specialist practices

Longitudinal treatment context for oncology and an extensible model for other clinical specialties.

Clinical teams

Shared schedule, workload, document and follow-up workflows around a consistent patient record.

Technology foundation

One backend, purpose-built experiences

Znapie pairs a Flutter mobile app and a responsive Next.js web workspace with the same FastAPI backend. AI orchestration, document processing and patient workflows live in a central service, while review gates keep clinical actions visible before confirmation.

Next.js web app
Flutter mobile app
FastAPI backend
Configurable AI models
Typed API contracts
Review-before-save flows

Give clinical work a simpler front door.

Explore how Znapie can support your specialty, consultation workflow and patient follow-up model.

Request a walkthrough