PHEMS Project

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Published August 15, 2025 | Version v4
Other Open

Pediatric Sepsis Prediction Hackathon: Results and Lessons Learned

Authors/Creators

  • 1. ROR icon Erasmus MC
  • 2. ROR icon Hospital Sant Joan de Déu Barcelona
  • 3. European Children's Hospitals Organisation
  • 4. University of Barcelona (UB)
  • 5. ROR icon Institut de Recerca Sant Joan de Déu

Description

Overview

Sepsis is a major cause of morbidity and mortality in children and young people. Early detection is critical to improve treatment outcomes, but current methods to predict sepsis onset are limited. PHEMS aims to address this by developing an algorithm to predict sepsis in pediatric intensive care units (PICUs). To support the development of this algorithm, PHEMS held an online hackathon using real-world PICU data. Participants were asked to predict sepsis six hours prior to clinical onset. The hackathon provided a valuable testing ground for evaluating different machine learning strategies. The results will help ensure that the final PHEMS sepsis prediction algorithm is both high-performing and privacy-compliant.

Files

PHEMS Sepsis Hackathon 2025 final.pdf

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Additional details

Funding

European Commission
PHEMS - Pediatric Hospitals as European drivers for multi-party computation and synthetic data generation capabilities across clinical specialties and data types 101094195
UK Research and Innovation
PHEMS - Pediatric Hospitals as European drivers for multi-party computation and synthetic data generation capabilities across clinical specialties and data types 10141098
UK Research and Innovation
PHEMS - Pediatric Hospitals as European drivers for multi-party computation and synthetic data generation capabilities across clinical specialties and data types 10103155