Intake summarization
Structure patient-provided symptoms and history for clinician review without diagnosing or prioritizing autonomously.
Digital health · telemedicine
Doctro’s App
A telemedicine MVP designed to connect patients and doctors during the early COVID-19 public-health emergency.
Patient and practitioner mobile workflows
Discuss a health productAI Development opportunities
Reduce administrative work without automating medical judgment
An AI layer can help structure intake, documentation, routing and communication while keeping diagnosis, urgency, prescriptions and treatment decisions with qualified clinicians.
Consultation notes
Draft a reviewable summary from approved call context while leaving the medical record and decisions to the clinician.
Routing assistance
Suggest a suitable specialty or escalation path from configured rules, with a qualified professional making the final decision.
Accessible communication
Help translate approved instructions into clearer language while preserving the original clinical meaning and source.
Clinical safety boundary
Clinical AI combines validation, emergency escalation, privacy and consent controls, data minimization, security review, bias testing, source-grounded outputs, clinician approval, audit logs and continuous monitoring. It supports clinicians without independently diagnosing, prescribing or determining urgency.
Explore AI Development →01
Project context
Maintain access to care during a public-health emergency
In 2020, the COVID-19 pandemic disrupted in-person care and accelerated demand for remote consultations.
Doctro’s App reduced access barriers through virtual care and remote patient monitoring.
02
Problem to be solved
Make a time-sensitive telemedicine MVP simple to navigate
The application supports people reporting possible COVID-19 signs or symptoms through two focused roles: patient and doctor.
- Offer short registration paths for both roles.
- Present COVID-19 information and general prevention guidance.
- Connect a patient request with a practitioner through audio or video.
- Keep request status and follow-up information visible.
03
Patient experience
From consultation request to clinician-provided guidance
Simple profile
Name, phone number and profile image in a streamlined onboarding flow.
Consultation request
City, language, medical field, symptoms and an optional preferred doctor.
Visible status
Requests grouped as urgent, pending or finished.
Remote consultation
Audio or video connection after a clinician accepts a request.
Prescription details
Medicine, amount, dose and clinician-provided clarification after consultation.
04
Doctor experience
Review requests, consult remotely and coordinate follow-up
Practitioner profile
A short registration flow with name, phone and image.
Request queue
Urgent, personal, pending and finished request views.
Virtual consultation
Audio and video communication with an accepted patient.
Prescription workflow
Create and edit post-consultation prescription information.
Specialist referral
Redirect a patient request to another doctor when appropriate.
Delivery snapshot
A focused MVP delivered in two weeks
We delivered the beta MVP with core functionality using React Native and NestJS. The four-person team included one project manager, one UI/UX designer and two developers.
Commercial model and impact
Free virtual consultations when access mattered most
Doctro’s App operated as a free, nonprofit consultation service during the isolation period.
The product helped flatten the curve by enabling doctors to examine more people with symptoms remotely and provide timely virtual care.
Building a health product?
Combine accessible UX, secure engineering and clinically responsible AI.
We can help shape digital health workflows around evidence, privacy, qualified human care and measurable safety.
Discuss your health product