NCT05618860

Brief Summary

The investigators will conduct a short questionnaire with patients who are waiting for radiology exams to understand their views on the use of artificial intelligence in radiology. The questionnaire will be anonymised and entirely optional. Results will be published in peer-reviewed publications and inform future implementation of AI in clinical radiology.

Trial Health

35
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
175

participants targeted

Target at P50-P75 for all trials

Timeline
Completed

Started Nov 2022

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

October 27, 2022

Completed
5 days until next milestone

Study Start

First participant enrolled

November 1, 2022

Completed
15 days until next milestone

First Posted

Study publicly available on registry

November 16, 2022

Completed
9 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

August 1, 2023

Completed
6 months until next milestone

Study Completion

Last participant's last visit for all outcomes

February 1, 2024

Completed
Last Updated

November 16, 2022

Status Verified

November 1, 2022

Enrollment Period

9 months

First QC Date

October 27, 2022

Last Update Submit

November 9, 2022

Conditions

Patients Waiting for Radiology Exams

Outcome Measures

Primary Outcomes (1)

  • This study aims to evaluate patient opinion regarding the use of artificial intelligence in radiology by completing a questionnaire

    We aim to identify common concerns held by patients and to characterise the distribution of patient viewpoints regarding the use of artificial intelligence for radiology.This will allow identification of key issues from the patients' perspectives

    6 months

Secondary Outcomes (1)

  • Quantification of patients' positivity towards AI technology in radiology by completing a questionnaire

    6 months

Interventions

QuestionnaireOTHER

eligible participants in the radiology department waiting rooms will be asked to complete a questionnaire after taking consent.

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

Patients presenting to the radiology department waiting area for an elective appointment

You may qualify if:

  • Patients presenting to the radiology department waiting area for an elective appointment will be eligible to participate.
  • Participants must be aged above 18 years.
  • Participants must have independent capacity to consent to the study.

You may not qualify if:

  • Inpatients or acute patients presenting to the radiology department waiting area.
  • Those who cannot complete informed consent.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

MeSH Terms

Interventions

Surveys and Questionnaires

Intervention Hierarchy (Ancestors)

Data CollectionEpidemiologic MethodsInvestigative TechniquesHealth Care Evaluation MechanismsQuality of Health CareHealth Care Quality, Access, and EvaluationPublic HealthEnvironment and Public Health

Central Study Contacts

Carolyn Horst

CONTACT

07809671293Carolyn.horst@gstt.nhs.uk

Robert O'Shea

CONTACT

073 94761391robert.1.oshea@kcl.ac.uk

Study Design

Study Type
observational
Observational Model
OTHER
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

October 27, 2022

First Posted

November 16, 2022

Study Start

November 1, 2022

Primary Completion

August 1, 2023

Study Completion

February 1, 2024

Last Updated

November 16, 2022

Record last verified: 2022-11