Advancing clinical decision-making in high-risk environments through cutting-edge informatics and data science.

Meet Our Team

Our Publications

 

International Consensus Criteria for Pediatric Sepsis and Septic Shock

Development and Validation of the Phoenix Criteria for Pediatric Sepsis and Septic Shock

Phoenix Sepsis Criteria in Critically Ill Children: Retrospective Validation Using a United States Nine-Center Dataset, 2012–2018

We Have New Sepsis Criteria for Children…Now What?

Association of Dynamic Arterial Elastance With Fluid Responsiveness in Critically Ill Children

Digital solutions in paediatric sepsis: current state, challenges, and opportunities to improve care around the world

Clinical decision support tools for paediatric sepsis in resource-poor settings: an international qualitative study

The PICU Data Collaborative: A Novel, Multi-Institutional, Pediatric Critical Care Dataset

The 2024 Phoenix Sepsis Score Criteria: Part 1, the Evolution in Definition of Sepsis and Septic Shock

Personalizing the Pressure Reactivity Index for Quantifying Cerebral Autoregulation in Neurocritical Care

Intracranial pressure-flow relationships in traumatic brain injury patients expose gaps in the tenets of models and pressure-oriented management

Predicting intracranial pressure monitor placement in children with traumatic brain injury: a prospective cohort study to develop a clinical decision support too

Use of the Area Under the Precision-Recall Curve to Evaluate Prediction Models of Rare Critical Illness Events

Machine Learning Approach to Predicting Absence of Serious Bacterial Infection at PICU Admission

Empirical phenotyping in coupled patient+care systems: Generating low-dimensional categories for hypothesis-driven investigation of mechanically-ventilated patients

Parsimonious Electronic Health Record–Based Models to Assign Subphenotypes in Children With Acute Respiratory Distress Syndrome

Functional Outcome After Intracranial Pressure Monitoring for Children With Severe Traumatic Brain Injury

Decision-Making About Intracranial Pressure Monitor Placement in Children With Traumatic Brain Injury*

Patterns of Organ Dysfunction in Critically Ill Children Based on PODIUM Criteria

Navigating the landscape of personalized oncology: overcoming challenges and expanding horizons with computational modeling

Burden of Intracranial Hypertension and Patterns of Brain Injury on MRI: Secondary Analysis of the 2014–2017 “Approaches and Decisions for Acute Pediatric TBI” Study

Diagnostic Stewardship of Blood Cultures in the Pediatric ICU Using Machine Learning

Intracranial pressure-flow relationships in traumatic brain injury patients expose gaps in the tenets of models and pressure-oriented management

Digital solutions in paediatric sepsis: current state, challenges, and opportunities to improve care around the world

phoenix: an R package and Python module for calculating the Phoenix pediatric sepsis score and criteria

Open source and reproducible and inexpensive infrastructure for data challenges and education

The Pediatric Data Science and Analytics Subgroup of the Pediatric Acute Lung Injury and Sepsis Investigators Network: Use of Supervised Machine Learning Applications in Pediatric Critical Care Medicine Research

Sustained Effect of Clinical Decision Support for Heart Failure: A Natural Experiment Using Implementation Science

Quality Improvement Campaign Improved Utilization of Rapid Sequence MRI for Diagnosis of Pediatric Appendicitis

Pediatric Deterioration Detection Using Machine Learning*

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