Data Representation Structure to Support Clinical Decision-Making in the Pediatric Intensive Care Unit: Interview Study and Preliminary Decision Support Interface Design.

Najia Yakob Sandrine Laliberté Philippe Doyon-Poulin Philippe A Jouvet Rita Noumeir

Published in: JMIR formative research (2024)

The data representation structure allows prioritizing patients via criticality indicators, assessing their conditions using a personalized dashboard, and monitoring their courses based on the evolution of clinical values. Further research is required to define and model the concepts of criticality, problem recognition, and evolution. Furthermore, feasibility tests will be conducted to ensure user satisfaction.

Keyphrases

intensive care unit
end stage renal disease
electronic health record
newly diagnosed
big data
prognostic factors
mechanical ventilation
patient reported outcomes
acute respiratory distress syndrome
artificial intelligence
extracorporeal membrane oxygenation