ClinicalTrials.gov
public full text
Public Domain
Automated Respiration Rate to Improve Accuracy of the Electronic Cardiac Arrest Risk Triage Score (eCART) Algorithm
Currently, breathing rate and heart rate are checked by nursing staff manually every few hours and entered into a patient's medical record. The investigators are doing this study to see if a device that will automatically record breathing rate and heart rate every 15 minutes is as accurate as the manual measurement. The investigators will also see if these measurements, taken every 15 minutes, will help us predict adverse events more quickly and accurately than the measurements taken every few hours.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- AI to Improve Data From Danish Cardiac Arrest Registry#857030
- Study of an Electronic Health Record-embedded Severe Sepsis Early Warning Alert#1338513
- Recognizing Ventricular Fibrillation From an Area of a Mobile Phone#896193
- Validation of the Performance of the COBOX Solution for Measuring Heart Rate and Respiratory Rate#1087586
- Respiratory Rates - Accuracy of Contact-free Monitoring of Respiratory Rates#852152
Record · ID 1465513
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive