ClinicalTrials.gov
public full text
Public Domain
Study of an Electronic Health Record-embedded Severe Sepsis Early Warning Alert
The investigators hypothesize that implementing an electronic health record-based early warning system for severe infections (severe sepsis) will decrease the time to antibiotic order. The study will consist of an algorithm which will monitor lab values, vital signs, and nursing documentation for signs of severe sepsis. When these criteria are met, an alert will be delivered via the electronic health record to a nurse and doctor and simultaneously an alert via pager to another nurse. The investigators plan to randomize which patients will generate these alerts and analyze the data after collecting information for approximately 6 months which will be sufficient to detect a 10% difference in the two patient groups.
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
- Paediatric Rapid Sepsis Trigger (PRST) Tool#1073636
- Digital alerting to improve sepsis detection and patient outcomes in NHS Trusts: a multi-methods study#1757
- A Rapid Diagnostic of Risk in Hospitalized Patients Using Machine Learning#895279
- Development and validation of an algorithm to identify severe sepsis onset from electronic medical records.#382444
- EHR2Trace: Auditable EHR Data Infrastructure for Patient World Models and Clinical Agents#1142795
Record · ID 1338513
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