Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Predicting Nurse Staffing Requirements From Routinely Collected Data

University of Southampton · 2025
ClinicalTrials.gov · Datasets · License: Public Domain · 2025
Open Source ↗
predictionsafetyworkforceworkload
The goal of this observational study is to find out if the researchers can predict the number of nurses needed on hospital wards (units) from patient hospital data. The main question it aims to answer is: Is it possible to predict nurse staffing requirements from routinely recorded data in hospital systems? Researchers will ask nurses about their views of nurse staffing tools and what support they need for staffing decisions. They will analyse data from hospital IT systems.
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

Record · ID 1352097
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