the team

Maylana Spricigo | designer

Christian Mendes | management

Victor Seiti | front-end developer

Carlo Moro | back-end developer

about the project

a platform concept designed to help public health managers quickly analyze lab test results and identify anomalies for faster decision-making.

the challenge

the project focused on improving the speed and accuracy of decision-making in public health.

slow analysis: manual review of lab data delayed critical health responses.

data overload: large volumes of test results made it difficult to detect anomalies.

lack of visualization: managers lacked clear dashboards to interpret results effectively.

the approach

we created a system that centralized lab data and highlighted anomalies through dashboards and automated alerts.

✨ centralized data: aggregated results from multiple labs into a single, unified view.

✨ anomaly detection: designed features to flag unusual patterns for quicker action.

✨ decision-focused dashboards: built visualizations to support fast and informed decision-making.