Patients Waiting for Radiology ExamsPPAIRNCT05618860
Patient Perspectives on Artificial Intelligence in Radiology
An observational study of Patients Waiting for Radiology Exams, run by Guy's and St Thomas' NHS Foundation Trust.
Trial 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. Read more about this study
- Who is it for?
- Ages 18 years and olderHealthy volunteers can take part
- Conditions the study is for
- Patients Waiting for Radiology Exams
- What is being tested?
- Questionnaire
- How many people
- 175 participants
- Where
- No sites listed yet
- Study dates
- Nov 2022to Feb 2024
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Study population: Patients presenting to the radiology department waiting area for an elective appointment
Who may be able to join
- 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.
Who cannot join
- Inpatients or acute patients presenting to the radiology department waiting area.
- Those who cannot complete informed consent.
Trial locations and contacts
No sites are listed yet.
About this study
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.
Read the detailed description
The project entails a patient questionnaire. Patients will firstly be informed about the study via a member of the radiology care team. Informed consent will be obtained by a member of the team. Each participant will be assigned a unique identifier number upon recruitment. Aside from the signed consent form, no identifiable information or medical details will be collected. Consent documentation will be stored within a locked drawer in the research department of the radiology department in GSTT. The signed consent document will be kept entirely separate and will not be linked in any way to the questionnaire answers. The questionnaire data will therefore be anonymised data. A document containing the following items will be created on a GSTT computer and updated as the study progresses:
- Participant Unique Identifier
- Questionnaire Answers 5.2 Questionnaire When the study identifier number is assigned, it will be entered at the top of a paper questionnaire. The questionnaire is thus anonymised from the beginning of the study. The questionnaire will include demographic variables and questions with multiple choice responses corresponding to a Likert scale, which will be completed by the patient. This information will be transferred to an NHS computer in the radiology department in GSTT.
Survey data will not include identifiable information. A Gaussian Graphical Model will be inferred indicating conditional dependencies between demographic variables and participant responses. This will be performed using the desparsified Graphical LASSO method of Jankova, implemented via the R package SILGGM.
- Conditions
- Patients Waiting for Radiology Exams
- Being tested
- Questionnaire
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
QuestionnaireOther
eligible participants in the radiology department waiting rooms will be asked to complete a questionnaire after taking consent.
What is being measured
The primary outcome is the main question the study is designed to answer.
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
Measured: 6 months
Secondary outcomes (1)
Quantification of patients' positivity towards AI technology in radiology by completing a questionnaire
This will facilitate understanding between expert and lay stakeholders on this issue.
Measured: 6 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted16 Nov 2022
- Study startNov 2022 (estimated)
- Primary completionAug 2023 (estimated)
- Study completionFeb 2024 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Patients Waiting for Radiology ExamsStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Other
- Time perspective
- Prospective
- Enrolment
- 175 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Guy's and St Thomas' NHS Foundation Trust
- Sponsor type
- University, hospital or other
- Collaborators
- King's College London
- Responsible party
- Sponsor
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05618860
- Sponsor's protocol ID
- 312778
- Acronym
- PPAIR
- Status last verified
- Nov 2022
- First submitted
- 27 Oct 2022
- Last updated
- 16 Nov 2022
- Results posted
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided
Study at a glance
From the registry record, last updated by the sponsor on 16 Nov 2022. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Patient Perspectives on Artificial Intelligence in Radiology
- ClinicalTrials.gov ID
- NCT05618860
- Acronym / sponsor ID
- PPAIR / 312778
- Conditions
- Patients Waiting for Radiology Exams
- Study type
- Observational
- Recruitment status
- Unknown status
- Enrolment
- 175 participants (estimated)
- Lead sponsor
- Guy's and St Thomas' NHS Foundation TrustUniversity, hospital or other
- Collaborators
- King's College London
- Study start
- Nov 2022 (estimated)
- Primary completion
- Aug 2023 (estimated)
- Study completion
- Feb 2024 (estimated)
- First posted
- 16 Nov 2022 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Detailed description
The project entails a patient questionnaire. Patients will firstly be informed about the study via a member of the radiology care team. Informed consent will be obtained by a member of the team. Each participant will be assigned a unique identifier number upon recruitment. Aside from the signed consent form, no identifiable information or medical details will be collected. Consent documentation will be stored within a locked drawer in the research department of the radiology department in GSTT. The signed consent document will be kept entirely separate and will not be linked in any way to the questionnaire answers. The questionnaire data will therefore be anonymised data. A document containing the following items will be created on a GSTT computer and updated as the study progresses:
- Participant Unique Identifier
- Questionnaire Answers 5.2 Questionnaire When the study identifier number is assigned, it will be entered at the top of a paper questionnaire. The questionnaire is thus anonymised from the beginning of the study. The questionnaire will include demographic variables and questions with multiple choice responses corresponding to a Likert scale, which will be completed by the patient. This information will be transferred to an NHS computer in the radiology department in GSTT.
Survey data will not include identifiable information. A Gaussian Graphical Model will be inferred indicating conditional dependencies between demographic variables and participant responses. This will be performed using the desparsified Graphical LASSO method of Jankova, implemented via the R package SILGGM.
Study design
- Observational model
- Other
- Time perspective
- Prospective
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
- Study population
- Patients presenting to the radiology department waiting area for an elective appointment
Key inclusion criteria (3 listed)
- 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.
Key exclusion criteria (2 listed)
- Inpatients or acute patients presenting to the radiology department waiting area.
- Those who cannot complete informed consent.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Questionnaireeligible participants in the radiology department waiting rooms will be asked to complete a questionnaire after taking consent. | Other | – |
Primary outcome
This study aims to evaluate patient opinion regarding the use of artificial intelligence in radiology by completing a questionnaire
Time frame: 6 months
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
1 secondary outcome
Quantification of patients' positivity towards AI technology in radiology by completing a questionnaire
Time frame: 6 months
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 16 Nov 2022.
- Individual participant dataSharing planned: Undecided
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Questions about this trial
What is this clinical trial studying?
An observational study of Patients Waiting for Radiology Exams, run by Guy's and St Thomas' NHS Foundation Trust.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 2 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 16 Nov 2022. Status can change between updates, so confirm with the study contact before making plans.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
Contact Carolyn Horst (07809671293, Carolyn.horst@gstt.nhs.uk), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
This study aims to evaluate patient opinion regarding the use of artificial intelligence in radiology by completing a questionnaire (time frame: 6 months). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 16 Nov 2022.