AI Doctor — Pre-Screening · ASAPtera Labs

Pre-Screen Patients.
Before Your Staff Does.

AI Doctor — Pre-Screening is a virtual intake & pre-triage assistant for clinics and telemedicine. It collects symptoms in plain language, flags red-signals, and generates a structured pre-visit summary so clinicians start with context — not blank screens.

Healthcare intake & triage assistant · new idea / prototype
AI Doctor Pre-Screening interface preview
Without pre-screening
10+ min
Phone calls, forms,
repeating the same questions
With AI Doctor
1 brief
Symptoms, timeline,
red flags, next step
Symptom intake
Red-flag checks
Urgency routing
Pre-visit summary
Human handoff
Multilingual
The problem

Intake Is Repetitive. And That’s Exactly Why It Breaks.

Most patient conversations start the same way: “What brings you in?”, “When did it start?”, “Any red flags?”, “Medications?”, “Allergies?”. When intake happens via calls, emails, or generic forms, information gets missed, staff time gets eaten, and clinicians still begin the visit by re-asking everything. AI Doctor turns messy patient input into a consistent, structured brief — before the appointment.

How it works

From “I feel unwell” to a Clinician-Ready Summary

Patients describe symptoms in their own words. The assistant asks the right follow-ups, checks urgent red flags, and produces a structured intake note for your team.

1

Start intake

Web, WhatsApp, Telegram, kiosk, or in-app chat — one entry point.

2

Ask smart follow-ups

Timeline, severity, triggers, meds, allergies, comorbidities.

3

Check red flags

Detect urgent symptoms and route to ER / same-day / routine.

4

Send a pre-visit brief

Clinician-ready summary + suggested next questions.

Important: This is pre-screening, not diagnosis. It supports clinicians by collecting consistent info and highlighting urgent patterns — the medical decision stays with your licensed staff.
Features

Everything You Need for Fast, Safe Intake

Red-Flag Guardrails

Built-in urgent symptom checks with clear escalation prompts and handoff rules.

Natural Conversations

Patients explain symptoms in plain language. The assistant turns it into structured fields.

Clinician-Ready Summary

SOAP-like brief: symptoms, onset, severity, relevant history, meds/allergies, risk signals.

Structured Intake Fields

Turn chat into a form: chief complaint, duration, pain scale, vitals (if provided), travel, etc.

24/7 Intake Coverage

Capture symptoms after hours, reduce missed leads, and keep patients informed on next steps.

Multichannel + Multilingual

Same logic across web chat and messengers, with consistent terminology per locale.

Clinic-Specific Flows

Customize question trees for pediatrics, dermatology, ENT, GP, urgent care, etc.

Handoff & Scheduling Hooks

Push the summary to email/CRM/EHR, trigger call-backs, or route to the right department.

Outputs

What Clinicians Receive

Chief complaint Onset & timeline Severity & modifiers Meds & allergies Relevant history Red-flag signals Suggested next questions

Use cases

Where Pre-Screening Makes an Immediate Difference

Primary care / GP

Standardize intake and reduce the “tell me again” time at the start of visits.

Telemedicine

Collect the essentials upfront and hand the clinician a clean summary before the call.

Urgent care

Route likely emergencies fast and reduce waiting room chaos with pre-triage.

Specialty clinics

Derm/ENT/uro/OBGYN: clinic-specific question flows and consistent symptom capture.

Call centers

Reduce repetitive questioning and shorten calls by capturing structured info first.

International patients

Multilingual intake reduces misunderstandings and improves compliance with next steps.

24/7
intake availability
1
structured brief per patient
0
missed “urgent” signals (goal)
* Stats are concept targets for the product vision, not measured claims.
What teams want

Less Admin. More Clinical Time.

We don’t need “AI diagnosis”. We need intake that doesn’t waste nurse time — and a clean summary before the visit.

— Clinic Ops Lead
placeholder — will replace with verified feedback

After-hours messages pile up. If we can pre-screen overnight and route urgency, mornings become manageable.

— Urgent Care Manager
placeholder — will replace with verified feedback

Patients explain things in chaos. Turning that into structured data is where we lose time — and sometimes accuracy.

— Telemedicine Physician
placeholder — will replace with verified feedback

If we can flag the truly urgent cases and keep the rest informed, we improve safety and patient satisfaction.

— Head Nurse
placeholder — will replace with verified feedback
FAQ

Frequently Asked Questions

This Labs idea focuses on one thing: better intake. If your clinic wants fewer repetitive calls and more structured pre-visit information, let’s talk.

Want to Pilot AI Pre-Screening?

Tell us your specialty, patient channels, and how you currently run intake. We’ll adapt the prototype to your workflow.

Request a Pilot

Get in Touch

Want a pilot, a roadmap chat, or an integration plan? Send a message.

Dzianis Huletski
Dzianis Huletski
Co-Founder • AI & IT Solutions • Startup Enthusiast
Cracow, Poland