Data-Driven staffing: can algorithms predict nurse needs?
NCT ID NCT06923943
First seen Feb 28, 2026 · Last updated May 16, 2026 · Updated 14 times
Summary
This study looks at whether information already collected by hospitals can be used to predict the number of nurses needed on each ward. Researchers will analyze data from hospital systems and ask nurses for their input on staffing tools. The goal is to improve how hospitals decide on nurse staffing levels.
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Locations
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University of Southampton
Southampton, United Kingdom
Conditions
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