Using machine learning to improve emergency care for children
Using Machine Learning to find a life saving needle in a haystack of children's emergencies
This study is looking at how we can use smart computer technology to find and prevent safety issues in emergency care for kids, especially during heart emergencies outside of the hospital, to help improve their chances of survival.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Beth Israel Deaconess Medical Center NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project ID | NIH-11034127 on NIH RePORTER |
What this research studies
This research investigates how machine learning can be utilized to identify and reduce adverse safety events (ASEs) in emergency medical care for children, particularly during out-of-hospital cardiac arrests. The team has developed a tool to analyze EMS chart data, aiming to uncover patterns and factors contributing to these critical incidents. By focusing on pediatric patients, the research seeks to enhance the quality of emergency care and improve survival rates through better data-driven decision-making.
Who could benefit from this research
Good fit: Ideal candidates for this research include children aged 0-11 years who experience out-of-hospital cardiac arrest.
Not a fit: Patients who are not children or those who do not experience cardiac arrest may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could significantly improve survival rates and outcomes for children experiencing cardiac arrest by minimizing preventable medical errors.
How similar studies have performed: Previous research has shown success in using data-driven approaches to improve emergency care outcomes, indicating that this methodology has potential for impactful results.
Where this research is happening
Boston, United States
- Beth Israel Deaconess Medical Center — Boston, United States (Active)
Researchers
- Principal investigator: Guise, Jeanne-Marie — Beth Israel Deaconess Medical Center
- Study coordinator: Guise, Jeanne-Marie
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.