Patients undergoing medical imaging as part of routine clinical care Other
Conditions
Interventions
Sponsors
Eligibility
Inclusion criteria
Inclusion criteria: 1. NHS staff who are interacting with the AI tool as part of their standard clinical practice 2. Patients whose medical images, collected as part of standard care, are eligible for analysis using AI
Exclusion criteria
Exclusion criteria: Patients: 1. Those who choose to opt out or have completed the national data opt out NHS Staff: 1. Those not directly involved in the patient care pathway 2. Those using AI for non-clinical purposes, such as research
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| The diagnostic accuracy of the AI algorithm alone in comparison to the clinical reference standard radiologist report: the sensitivity, specificity, accuracy and AUROC of the AI tool in comparison to the clinical reference standard of radiologist's report. Timepoint: dependent on the specific sub-study. | — |
Secondary
| Measure | Time frame |
|---|---|
| 1. The technical performance of the AI tool within existing clinical workflows. The number of medical images or tests rejected or not processed by the AI algorithm that fall under the intended use of the AI algorithm, and the reasons for this. Timepoint: dependent on the specific sub-study. 2. The impact on clinical services: length of stay, referral rates, and other relevant NHS encounters or parameters dependent on the sub-study in the AI on period compared to the AI off period. Timepoint: outcomes will be compared during AI tool on periods versus AI tool off periods. 3. NHS staff and patient perspective of the use of AI: questionnaires assessing patient-related outcome measures and feedback from staff. Timepoint: dependent on the specific sub-study. | — |
Countries
England, United Kingdom