Professional holding a tablet with a double-exposure city skyline overlay
Case Study : Government & Tourism

WARS LAB (Stelmat), Brazil — UBS Scheduling & Biometric Validation System.

Optimizing Healthcare Infrastructure and Citizen Services Through Hybrid Cloud Integration & Biometric Compliance.

Client

WARS LAB (Stelmat) — Municipal Public Health, Brazil

Industry

Public Health & GovTech

Duration

15–17 Weeks (Fixed-Fee, Milestone-Based)

Services

Patient App, Reception Portal, Integration Layer, Government Identity, LGPD Biometrics & Operational Alerts

Vision

Digital Innovation for Brazil's Public Health

Operating within the strict parameters of Brazil's public health ecosystem, municipal networks require highly secure, efficient, and transparent infrastructure to serve citizens effectively. Basic Health Units (UBS) form the frontline of civic care, processing millions of citizen medical interactions daily.

To transform this vital touchpoint, WARS LAB (Stelmat) partnered with Beno Support Technologies Pvt. Ltd. to engineer a modernized scheduling and biometric verification ecosystem. The ultimate vision was to eliminate operational bottlenecks, ensure strict compliance with Brazil's General Data Protection Law (LGPD), and bridge the gap between legacy government backbones and modern, mobile-first citizen experiences.

Hands holding a smartphone with holographic healthcare and identity icons above it

Overcoming Infrastructure Vulnerabilities and Data Fragmentation

Maintaining stable public healthcare scheduling across municipal zones introduces intense administrative and technological pressure. Key challenges included:

Fragmented Scheduling & Attendance Leakage

UBS facilities faced persistent operational friction due to unverified patient attendance, untracked no-shows, and zero systematic verification tools at reception desks to ensure the person arriving was the individual who booked.

Legacy System Isolation

Critical government databases—CADSUS/PDQ for national identity and e-SUS APS/PEC for official scheduling—resided inside protected, internal City Hall networks. These backbones could not be directly exposed to the cloud, preventing standard integration.

Staff Utilization Blindspots

Municipal managers lacked data-driven visibility into floor activity, staff zoning distributions (productive zones versus break areas), and actual resource availability.

Intense Biometric Compliance Standards

Handling public health and biometric identity records demanded strict alignment with LGPD legal frameworks, requiring top-tier cryptographic security without introducing user friction.

Engineering a Hybrid Cloud Ecosystem for Scheduling & Biometric Verification

Beno Support Technologies designed and implemented a complete hybrid cloud/on-premise technology architecture centered around experience delivery, secure data decoupling, and strict regulatory compliance.

Multi-Tiered Application Refinement

Elevating citizen engagement and operational efficiency through a dual-interface experience.

  • Patient Mobile Application (React Native): A native app for biometric enrollment and appointment scheduling with real-time push notifications.
  • Reception & Management Web Portal (Angular SPA): A portal for front-desk teams featuring real-time arrival alerts and a human-in-the-loop confirmation flow.

On-Premise Integration & Legacy Hardening

A secure intermediary layer built to bridge locked government infrastructure without exposing municipal backbones.

  • Listener Service: Deployed on an internal Virtual Machine (VM) to ingest camera metadata via JSON/webhook pipelines.
  • Integration Wrapper (Anti-Corruption Layer): Insulates the new platform from legacy systems, using JDBC for slot availability and internal APIs for bookings.
  • Government Identity Connectivity: Uses secure CADSUS/PDQ resolution with two-way SSL and Type A1 digital certificates.

Security & Compliance by Design

An ironclad data protection blueprint for LGPD and global health standards.

  • Biometric Hashing: Processes and stores biometric hashes instead of raw images.
  • Advanced Encryption & Access: Uses TLS 1.2+, Role-Based Access Control (RBAC), JWT/OAuth2, and Multi-Factor Authentication (MFA).
  • Interoperability Compliance: Aligned with HL7/FHIR, ISO/IEC 19794-5 biometric standards, and IEEE 830 documentation practices.

De-risked Milestone Delivery Mode

A fixed-fee engagement structured for early risk discovery and acceptance-gated progress.

  • A 15–17 week timeline divided into five acceptance-gated milestones.
  • Integration risks addressed early (Week 1) with a contingency buffer for e-SUS system updates.

Measurable outcomes across architecture, compliance and delivery.

System Architecture

Hybrid Cloud/On-Premise delivery successfully bridging cloud UX with locked municipal networks.

Data Security & Compliance

100% LGPD compliance achieved via biometric hashing and immutable audit logging.

Operational Visibility

Live floor tracking enabled via automated staff zoning and real-time management alerts.

Identity Verification

Zero-trust verification achieved via two-way SSL and Type A1 Digital Certificate integration.

Risk Mitigation

De-risked delivery with integration discovery accelerated to Week 1 of execution.

The stack that shipped it.

Python

FastAPI

PostgreSQL

RabbitMQ

Redis

Business Outcome

The collaborative effort between WARS LAB (Stelmat) and Beno Support Technologies Pvt. Ltd. has successfully transformed a fractured municipal operation into a secure, biometrically verified GovTech ecosystem. By eliminating legacy data isolation without disrupting the government backbone, the project established a high-security, future-proof public health standard.

This modernization initiative not only reduced administrative overheads and maximized municipal transparency, but also reinforced the municipality's digital capabilities, providing a clear reference model for smart, citizen-first urban governance across Brazil.

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