AI clinical workspace
Use a ChatGPT-style assistant to capture patient updates, retrieve context and initiate common clinical workflow actions.
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.
Znapie Assistant
Ready to help
Matched to Anita Thomas
Clinical note added to timeline
Follow-up drafted for 3 weeks
Mobile + Web
Work anywhere
One timeline
Patient context
Voice, text, files
Flexible input
Multi-specialty
Extensible design
The challenge
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
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.
Each capability is designed to share context with the next, reducing repeated entry and disconnected decisions.
Use a ChatGPT-style assistant to capture patient updates, retrieve context and initiate common clinical workflow actions.
Dictate naturally during or after a consultation, review the transcription and send it through the same structured workflow as text.
Attach reports, PDFs or images for extraction, patient matching and a reviewable draft before information is filed.
See diagnoses, findings, treatment events, medications, documents and follow-ups in one chronological patient story.
Create appointments and availability using natural language, then work across day, week and month views with workload context.
Support summaries, reports and cohort-oriented research workflows from the same structured clinical foundation.
A focused flow that keeps teams moving without adding another layer of operational friction.
Type, dictate, take a photo or attach a report from the AI workspace on mobile or web.
The assistant identifies the intended action, relevant patient and appropriate timeline or scheduling context.
The doctor checks the proposed match, extracted details and action before confirming clinical information.
Patient timelines, follow-ups, reminders, schedules and workload views stay connected for the next decision.
Fast capture and retrieval during high-volume OP hours without navigating layers of clinical forms.
Longitudinal treatment context for oncology and an extensible model for other clinical specialties.
Shared schedule, workload, document and follow-up workflows around a consistent patient record.
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.
Explore how Znapie can support your specialty, consultation workflow and patient follow-up model.