Clinical trial NCT05618860: Patient Perspectives on Artificial Intelligence in Radiology
Official title: Patient Perspectives on Artificial Intelligence in Radiology
Study type: OBSERVATIONAL
Overall status: UNKNOWN
Conditions: Patients Waiting for Radiology Exams
Lead sponsor: Guy's and St Thomas' NHS Foundation Trust
Sponsor class: OTHER
Collaborators: name: King's College London
First posted: 2022-11-16
Enrollment: 175
Sex: ALL
Minimum age (years): 18
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: yes
Observational model: OTHER
Time perspective: PROSPECTIVE
Sampling method: PROBABILITY_SAMPLE
Study population: Patients presenting to the radiology department waiting area for an elective appointment

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.

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:

1. Participant Unique Identifier
2. 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.

Eligibility criteria: Inclusion Criteria:

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

Exclusion Criteria:

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

Primary outcomes:
measure: This study aims to evaluate patient opinion regarding the use of artificial intelligence in radiology by completing a questionnaire
timeFrame: 6 months
Secondary outcomes:
measure: Quantification of patients' positivity towards AI technology in radiology by completing a questionnaire
timeFrame: 6 months
Other outcomes:
Locations:
Study officials:
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