Nurses' views on an AI falls risk tool
This study asks nurses who assess patients' fall risk about their trust in and acceptance of a new AI tool called FAIR. It aims to understand if nurses find the tool helpful and reliable.
Summary written for real people, not researchers, by Clin2.
Who can take part
- You are a practicing nurse.
- Your work involves assessing patients' risk of falling.
Quick eligibility check
Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.
Similar studies
Other trials that look related to this one.
This study tests a tool to predict falls in people 65 and older who live at home. It may help identify if you are at risk for falling.
This study explores how AI-assisted fall prevention tools work in hospitals. Researchers will interview staff, managers, patients, and family members, observe staff work, and review medical records to understand the implementation and impact.
This trial is for ICU nurses who already perform skin checks for pressure injuries. It tests whether an AI tool can help them assess patients' skin more accurately and consistently. The study focuses on adult ICU patients without major skin problems.
This study looks at what helps or hinders nurses when they use AI technology to write their nursing records. It aims to make record-keeping easier and more efficient for nurses on regular wards.
This trial tests how well doctors and nurses use AI predictions to help make decisions. You'll answer a few clinical cases online.
This trial tests a smart robot that helps nurses and patients with care tasks that don't involve safety. It aims to see if the robot can make care easier and more efficient.
Hear when a new Falls Risk trial opens
We’ll email you when one opens — at most once a week, no account needed, unsubscribe anytime.