Transparency
Methodology, sources and data limitations always visible and explained.
Data intelligence for public health
We turn DataSUS data into alerts before the crisis hits.
Saúde Inteligente cross-references public health records from all of Brazil and uses predictive analytics to reveal, in real time, the first signs of outbreaks and epidemics — giving public officials the time window that saves lives.
- 0
- Municipalities with data-coverage potential
- 0
- States monitored
- 0
- Epidemiological indicators cross-referenced
- 24/7
- Continuous monitoring of historical series
Open SUS data
Early outbreak detection
Dashboard · Arboviruses · Southeast Region
live
Up 34% in reported cases over 7 days
About the project
An epidemiological radar built on data that is already yours.
The Saúde Inteligente is a data-science platform applied to Brazilian public health. We collect, clean and cross-reference the open records of DataSUS — such as SINAN, SIM, SIH and e-SUS Notifica — to turn scattered spreadsheets into living dashboards that show, in a few clicks, where a disease is spreading before it becomes a crisis.
We collect no new data from citizens: our job is to give meaning, speed and visibility to what the SUS itself already records every day across thousands of municipalities.
“Information that arrives fast is the difference between an alert and an epidemic.”
Saúde Inteligente mission
01
Public SUS data
Continuous ingestion of DataSUS open datasets, unified into a single data model.
02
Applied data science
Statistical and machine-learning models identify anomalies and trends.
03
Interactive dashboards
Clear dashboards for managers, researchers and citizens to explore the local picture.
04
Early alerts
Early flagging of possible outbreaks, with a reaction window for the health network.
Context
Brazil already has the data. What was missing was the speed to read it.
The country records millions of health events daily in systems like SINAN, SIM, SIH and e-SUS — but that information arrives fragmented, delayed and hard to read for those who need it most: local managers, surveillance teams and the public itself.
Fragmentation
Dozens of DataSUS systems run separately, requiring slow manual cross-referencing.
Delayed reading
Consolidated bulletins can take weeks to reflect what is already happening in municipalities.
Scale of the country
Many small municipalities lack the technical staff to turn raw data into decisions.
Weak signals
Subtle rises in cases go unnoticed until they become obvious outbreaks.
Why this matters now
-
2009
The H1N1 pandemic exposes the need for a fast surveillance response.
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2015–16
The Zika and microcephaly epidemic shows the cost of detecting late.
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2020–23
COVID-19 shows the value of public dashboards updated in real time.
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2024
A record number of dengue cases reinforces the urgency of anticipation.
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Now
Saúde Inteligente is born to turn public data into reaction time.
How it works
From raw DataSUS data to an actionable alert
A continuous flow — no loose spreadsheets, no manual rework — connecting the official health-data source to a living risk dashboard.
01
Collection
Automated integration with DataSUS open datasets (SINAN, SIM, SIH, e-SUS Notifica).
02
Processing
Cleaning, standardizing and cross-referencing records by municipality, period and condition.
03
Predictive analytics
Statistical models flag deviations from normal and possible growth curves.
04
Visualization and alerts
Interactive dashboards and notifications so surveillance teams act in time.
Built with
- Python
- Open-data ETL
- Machine Learning
- DataSUS APIs
- Real-time dashboards
- Django
Why it matters
Every day of anticipation is measured in lives and hospital beds
Detecting an outbreak two or three weeks earlier completely changes the possible response: prevention campaigns, stock reinforcement and team mobilization still in time to contain the spread.
Anticipation
Gain real time windows to act before a rise in cases becomes an epidemic.
Resource allocation
Direct beds, immunobiologicals and field teams to the highest-risk regions.
Evidence-based public decisions
Give city halls and health departments a clear read of the picture, without relying on manual analysis.
Democratized access
Municipalities without their own data teams gain the same analytical power as major centers.
Without data intelligence
- Consolidated bulletins weeks after the fact
- Manual cross-referencing across separate systems
- Reactive response, after the outbreak sets in
- Small municipalities with no analytical support
With Saúde Inteligente
- Dashboards updated in near real time
- Data unified into a single analytical model
- Early alerts for possible outbreaks
- The same analytical power for any municipality
Social values
Public data only serves its purpose when it becomes accessible knowledge
The project is born committed to principles that put the collective interest — not just the technical one — at the center of every decision.
Health equity
We prioritize regions and populations historically most vulnerable to disease.
Open science
Reproducible methods, open to scrutiny by the scientific community.
Open data
We reuse and return value to society from data that is already public.
Active citizenship
Clear information so the public can follow and demand health policies.
Collective impact
Every dashboard delivered exists to support decisions that benefit entire communities.
ESG
Environmental, social and governance responsibility at the heart of the project
Handling public-health data is a responsibility. We structured the project to be technically solid and also ethical, inclusive and auditable.
E
Environmental
- Optimized cloud infrastructure, with on-demand processing and low computational waste.
- Replacing physical surveys with 100% digital analysis of existing data.
- Early prevention reduces pressure on health-system logistics and supplies.
S
Social
- Democratizing access to data intelligence for municipalities without their own technical teams.
- Priority attention to historically most vulnerable populations and regions.
- Public, understandable information to strengthen citizen participation.
G
Governance
- Exclusive use of public and aggregated data, compliant with the LGPD.
- Documented, auditable models and methodology, open to technical review.
- A commitment to the ethical and responsible use of artificial intelligence in health.
Get involved
Follow the making of a data-driven SUS.
Saúde Inteligente is under continuous development. Researchers, public managers and developers are welcome to collaborate, test the dashboards and help shape the product.
- Updates on the dashboards launch
- Technical and scientific collaboration opportunities
- Early access to epidemiological reports