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A Visual Explorer for Retrospective Trajectories in Children Following Heart Surgery.

Laila Neu¹, Louisa Bode^1,2, Marcel Schack^1,2

¹Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Hannover Medical School, Hannover, Germany.

Studies in Health Technology and Informatics

|July 3, 2026

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We developed TRACE, an interactive visualization tool, to help understand patient recovery after pediatric heart surgery. This tool aids clinicians in exploring complex postoperative data to identify potential complications and improve patient outcomes.

Area of Science:

Pediatric critical care medicine
Clinical informatics
Data visualization

Background:

Children undergoing cardiac surgery with cardiopulmonary bypass face risks of complications like acute kidney injury and infection.
Postoperative monitoring in pediatric patients is complex due to frequent interventions, age-specific data, and diverse data sources.

Purpose of the Study:

To create an interactive visualization tool for exploring retrospective postoperative trajectories in children after heart surgery.
To assist clinicians in understanding patient recovery pathways and identifying factors associated with complications.

Main Methods:

Development of the TRACE (Trajectory(-based) Retrospective Analysis for Clinical Exploration) prototype in collaboration with clinicians.
Collection of user feedback via a questionnaire assessing usability, clinical utility, and visualization effectiveness.

Keywords:

Dashboard Systems Data Visualization Intensive Care Units Pediatric Postoperative Care

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Evaluation of the tool's usability using the System Usability Scale.

Main Results:

The TRACE tool achieved a high mean System Usability Scale score of 82.5.
Clinician feedback indicated the tool's potential utility in clinical, research, and teaching environments.
The visualizations were found effective for exploring patient data trajectories.

Conclusions:

TRACE is a promising interactive tool for analyzing complex pediatric postoperative data after cardiac surgery.
The tool facilitates a better understanding of patient trajectories and potential complication factors.
Future work includes integrating TRACE with the ELISE dataset for broader research access and analysis.