Dr. Presente

hhelp, WhatsApp triage, a national response.

hhelp was founded in 2020 with Dra. Priscila Miranda. The first product was Dr. Presente, a COVID-19 triage chatbot on WhatsApp that reached more than 20 Brazilian states.

The project was sponsored by Google Cloud Brasil and Roche, with support from Unimontes and InterTV.

Official letter · 24 Mar 2020

Gabinete Militar do Governador de Minas Gerais to the President of Google Brasil

Technical opinion in favor of statewide implementation in Minas Gerais, signed by Cel PM Rodrigo Sousa Rodrigues.

View PDF →

Dr. Presente volunteer team, 2020

hhelp inside the Montes Claros health network.

We ran a real pilot with the Municipal Health Secretariat. Six family-health units: Ciro dos Anjos, Vargem Grande, São Geraldo, and Maracanã II, III and IV.

Four modules, one city.

Online scheduling

Citizens book with their family-health team in a few taps, without leaving home.

Telehealth

Remote consult with digital records and prescription. Data handled under LGPD.

Evaluation

QR-code banners in the units. Citizens scan and rate care from their phone.

BI per unit

Live indicators for managers across the six ESFs in the pilot.

Saúde da Família MOC — published on Google Play with the visual identity of the Montes Claros prefecture.

Four apps published on Google Play by Help Health Tecnologia LTDA, including the official app with the Secretariat of Health identity.

A system so no woman is left behind.

Each family-health nurse follows up to 3,000 women, and had to open SISCAN by hand, patient by patient, then call them one by one. We automated that into a panel with automatic priority and direct WhatsApp notification.

How it was done by hand

Step 01

The nurse opens SISCAN, the federal system, and searches patient by patient to check exam status.

Step 02

For each patient, she checks the result by hand: inconclusive, pending, or altered. No filter. No automatic priority.

Step 03

Using Ministry of Health parameters, she decides who needs attention, then calls them one by one.

With up to 3,000 women per team, the manual process makes effective screening unworkable.

Estimated impact