INDUSTRIES · HEALTHCARE

Healthcare

Where to open a new care center, how to centralize the medical record and how to speed up diagnosis. Location, cloud and artificial intelligence applied to healthcare.

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Deciding in healthcare, with data from the territory and the patient

Health coverage and the speed of diagnosis depend on data that is almost always scattered across different systems, sites and formats. Connecting that information is what allows decisions to be made with the territory and the patient in view, not blindly.

Geomarketing for health coverage and demand
Google Cloud for a centralized medical record
byCerebro and Vertex AI for assisted diagnosis
Regulatory compliance for the healthcare sector

Industry challenges

The challenge in healthcare

Scattered network of medical centers: without data, deciding where to open the next clinic is guesswork, and rural areas are left without timely access.

Paper medical records: a doctor without the patient's full history can prescribe something they're allergic to.

Telemedicine that doesn't scale: thousands of simultaneous consultations at peak times can bring the platform down exactly when it's needed most.

Fragile HIPAA and LGPD compliance: a medical data breach can cost up to $1.5 million per affected patient.

Health insurance fraud: invoices for procedures that never happened are discovered months later, after they've already been paid.

Slow diagnosis: reviewing records scattered across several systems delays a clinical decision from minutes to hours.

Intelligent Location

Opening a health center somewhere that 'looks good' can leave entire areas without coverage. We cross population density, territorial epidemiology and current coverage to decide where the impact is greatest.

Cloud and Infrastructure

A medical record scattered across several systems puts the patient at risk. We migrate to Google Cloud to centralize information and sustain telemedicine that doesn't go down at peak demand.

Artificial Intelligence

Reviewing records and lab results by hand delays diagnosis. With byCerebro and Vertex AI, clinical analysis moves faster and emergency care is prioritized by actual risk.

Cybersecurity

The medical record is one of the most sensitive pieces of data there is. We audit the sector's regulatory compliance and protect access to patient information.

How we solve it

How we solve Healthcare: The 4 connected pillars

Four connected fronts: where to locate your next center, how integrated your medical records are, how fast you diagnose, and how protected your patients' data is.

Intelligent location

Where to open your next health center

Locating a hospital or clinic is a 20-to-30-year decision that affects healthcare access for thousands of people: we cross-reference population density, current coverage and territorial epidemiology.

Map of health demand by area: density, current coverage and travel time to the nearest center
Territorial epidemiological analysis to define which specialties are missing in each area
Identification of underserved areas with the greatest social impact from expansion

Specific solutions

✅ Centers opened at the highest-impact location, with 60% less risk of poor location.

Cloud and infrastructure

Integrated medical records and telemedicine that scales

Medical records scattered across multiple systems cost lives. With Google Cloud, every patient data point is available in a second, from any center.

Centralized medical record synchronized in real time between hospital, clinic, lab and pharmacy
Telemedicine that scales to millions of simultaneous consultations without outages
HIPAA compliance with end-to-end encryption and full access auditing

Services

✅ Medical record access in 1 second and diagnosis up to 4 times faster.

Artificial intelligence