Tool to find early signs of heart or breathing trouble in hospitalized children
Clinical Decision Support for Early Detection of Deterioration in Hospitalized Children
This project aims to build a hospital-wide computer tool that watches kids' vital signs and medical data to alert doctors and nurses early when a child's heart or lungs may be getting worse.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Wisconsin-Madison NIH-funded |
| Lab location | 1 site (Madison, United States) |
| Project ID | NIH-11303346 on NIH RePORTER |
What this research studies
If your child is in the hospital, researchers will combine data from the emergency department, wards, and ICU to create one prediction model that looks for signs of cardiopulmonary deterioration. They will use machine learning that produces easy-to-understand, real-time explanations of why an alert was raised and design a user interface with clinicians to fit real hospital workflows. The team will train and test the model using children's hospital records and then pilot it in clinical areas to see how it affects recognition and response to deterioration. The goal is to make alerts clearer and more consistent across units so staff can act faster.
Who could benefit from this research
Good fit: Hospitalized children aged 0–11 years, including those in the emergency department, wards, or intensive care, are the intended group who could benefit or be included.
Not a fit: Children who are not hospitalized or whose problems are unrelated to heart or breathing deterioration would be unlikely to benefit directly.
Why it matters
Potential benefit: Could help clinicians spot early signs of cardiopulmonary decline so treatment starts sooner, potentially reducing deaths and long-term disability.
How similar studies have performed: Existing early-warning scores and some machine-learning tools have improved detection in parts of hospitals, but a single hospital-wide, interpretable model with clinician-designed interfaces remains relatively new.
Where this research is happening
Madison, United States
- University of Wisconsin-Madison — Madison, United States (Active)
Researchers
- Principal investigator: Mayampurath, Anoop — University of Wisconsin-Madison
- Study coordinator: Mayampurath, Anoop
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.