Computer model study for ICU patients
This study uses a computer model to analyze health data from ICU patients to help predict outcomes. It aims to improve care for critically ill patients.
Summary written for real people, not researchers, by Clin2.
Who can take part
- You are 18 years or older.
- You have been in the ICU for at least 24 hours.
- Your electronic health records are complete, including basic demographics and at least one lab test after ICU admission.
- You were not transferred or discharged from the ICU within 24 hours.
- Your medical records are not missing major vital signs or more than half of key lab results.
Quick eligibility check
Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.
Similar studies
Other trials that look related to this one.
This study looks at ways to make ICU scoring systems more accurate for predicting patient outcomes. It may help doctors better understand how sick someone is and what care they might need.
This study aims to create a tool to predict survival in older adults (75+) who are admitted to the ICU from the emergency room. It may help doctors better understand individual risks and make more informed care decisions.
This study checks if a new early warning system can accurately predict the risk of death for patients in intensive care. It may help doctors identify high-risk patients sooner and improve care.
This study looks at how critical illness can vary from person to person in the intensive care unit (ICU). It mainly helps researchers understand these differences and may improve future care for ICU patients.
This trial sets up a way to collect and store physiological readings (like vital-sign data) from adults in the intensive care unit. It aims to improve how doctors understand and monitor critically ill patients over time.
This study validates a prediction tool designed to identify which ICU patients are at risk of developing multidrug-resistant gram-negative bacteria (a serious infection resistant to many antibiotics). The tool may help doctors start appropriate treatment earlier and improve patient outcomes.
Hear when a new Critical Care Medicine trial opens
We’ll email you when one opens — at most once a week, no account needed, unsubscribe anytime.