ClinicalTrials.gov
public full text
Public Domain
Clinical Values of Automated Electronic Alert for Acute Kidney Injury
Acute kidney injury (AKI) is common, serious and expensive.It is associated with significant mortality, morbidity and increased length of hospital stay.To improve clinical outcomes of AKI by early detection and timely referral to the renal,the investigators developed an electronic alert system which identifies all cases of AKI occurring in patients over 18 years.The system was also designed to collect data on AKI incidence one of the biggest tertiary hospital in China.
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
- PRevention of Acute Kidney Injury Initiated With Electronic Surveillance Enhancement#833494
- Precision-Medicine Diagnostic Support in Hospitalized Veterans With Acute Kidney Injury#878987
- Development and Validation of an Automated Acute Kidney Injury E-Alert System Integrated with Clinical Decision Support for Hospitalized Patients.#320579
- Early Prediction of Acute Kidney Injury Among Patients Admitted to Surgical ICU#828349
- Learning Alerts for Acute Kidney Injury#806159
Record · ID 1088165
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