WODIA - Digital Infrastructure for Personalized Maternal Care

The Market

According to the WHO, hypertensive disorders account for 16% of global maternal mortality, resulting in approximately 50,000 deaths annually.

When accounting for the broader spectrum of all hypertensive pregnancy complications, the Preeclampsia Foundation estimates this figure at 76,000 maternal deaths and over 500,000 infant losses per year.

Adding to the cause, there’s a rising cost of neonatal care and long-term morbidity management in the EU.

What's more, preeclampsia complicates up to 8% of pregnancies worldwide and has no cure once diagnosed. However, early identification through maternal phenotype data and biomarkers allows for effective preventative treatment.

That is why the WODIA project required a technical platform to integrate data from hardware sensors used at home and measurements from clinical settings.

The consortium needed a system to handle sensitive medical data with high security while remaining accessible for pregnant women to input daily measurements. The goal was to replace fragmented data collection with a machine learning decision support system for individual medication dosing and efficient clinical visits.

The Solution

Our team prioritized a scalable infrastructure to manage the complexities of personalized medicine. We selected a stack based on PHP and Symfony for a mature development environment. Here is the solution our team proposed:

Data Management

We developed a custom API to connect hardware sensors directly to a MySQL database. A critical element was the integration of the Mean Arterial Pressure (MAP) measurement protocol, which is a superior predictor for early preeclampsia compared to standard systolic or diastolic readings. For stability during high-load periods, we deployed Nginx as the web server and reverse proxy.

The API Ecosystem

The API follows REST standards to manage medical centers, sensor instances, and patient questionnaires. We used Symfony with FOS Rest Bundle and Swagger to build the API and Nelmio for detailed documentation. Data flows through Symfony services that calculate metrics and averages based on sensor types and specific time intervals.

User and Admin Interfaces

We built two distinct interfaces for different user needs:

• Patient UI – Built with jQuery, Axios, and ApexCharts, this mobile-friendly interface allows patients to monitor measurements in real time and input data manually.
• Admin interface – Built with Sonata Admin Bundle, this portal provides medical staff with tables and charts that centralize patient metrics for decision support.

The Process

Data protection was a fundamental design principle for WODIA. We implemented strict access controls where information visibility depends exclusively on authenticated user roles.

To ensure GDPR compliance and identity protection, real patient data exists only on separate instances installed by medical centers on their own secure devices. During development, we used exclusively anonymized test data in an isolated and controlled environment.