Would Artificial Intelligence Reduce Delays to Nurse Response Times — WAiRD  

Nurse's Role Clinical Trial

Official title: Would Artifical Intelligence Reduce Delays to Nurse Response Times

Status Recruiting

Clinical Trial Summary

Patients are admitted to wards at all times of day and night and in various states of ill health. As this research is non interventional and does not impact on patient safety, the guidance from the ethics committee was reviewed and agreed that it would be appropriate to enrol every admission into the 2 bed bays and gain consent within 24 hours of admission.All data collected within the trial using the smart tablets will be associated to a study number, no patient details will be stored on the smart tablet and therefore the cloud data store.It has been discussed with the trust information governance and this complies with their regulations.

Any patient identifiable data will be kept by the research team. All data will be archived and stored as per the Sponsors policy. The novel nurse call system has been designed to be user friendly to all patients regardless of age, learning ability and first language used. By using colours, images and words in the hope that this will be accessible to all. The nursing staff on the ward advised on the main reasons for the nurse call system activation and therefore the icons used in the novel system were adapted from this. This trial was discussed in the patient and public involvement group. As this is a pilot trial, any adaptions that need to be made will be made before the large scale trial.

Clinical Trial Description

n/a

Related Conditions & MeSH terms

• Nurse's Role

• NCT number: NCT06043986
• Study type: Observational
• Source: The Leeds Teaching Hospitals NHS Trust
• Contact: Lucy Leese
• Phone: 0113 2065455
• Email: l.leese@nhs.net
• Status: Recruiting
• Start date: May 23, 2023
• Completion date: September 2, 2024