Effects of an AI-based software on clinical workflow and clinician outcomes – an example of Quantib software for the detection of abnormalities on MRI prostate scans

Institut für Patientensicherheit, Universitätsklinikum Bonn0 sites9 target enrollmentJanuary 11, 2022

Overview

No summary available.

Registry

who.int

Start Date

January 11, 2022

End Date

TBD

Last Updated

last year

Study Type

Observational

Sex

All

Sponsor

Institut für Patientensicherheit, Universitätsklinikum Bonn

•The study is conducted in the Department of Diagnostic and Interventional Radiology at the University Hospital Bonn. The participants of this study are the radiologists and radiology assistants who use the software (estimated N \= 9\). Since we are limited to those working in this clinic and with the software for prostate MRI scans, no preliminary sample size calculation was performed (i.e. convenience sampling). When possible, it is planned to conduct semi\-structured interviews with clinicians in other departments (esp. Department and Polyclinic of Urology and Pediatric Urology) who are involved in the clinical process surrounding prostate diagnosis.
•For the interrupted time series design, multiple measurement time points are needed for the observational data. In order to have a sufficient number of cases (in this case, diagnostic reporting scans to prostate MRIs) that can be compared before and after implementation, and that is realistically achievable with the number of patients coming into the radiology department for prostate MRI, we are aiming for N \= 45 cases for each study phase.