Background
More rapid and efficient diagnosis of suspected skin cancers has been a target for improvement in the NHS for several years. DERM (Deep Ensemble for the Recognition of Melanoma) is a Class IIa UKCA-Certified Artificial Intelligence Medical Device which has been suggested could have a role in achieving this. Implementation projects have confirmed this where DERM is used to filter referrals which have already been made to hospital (post-referral clinical pathway). Attention has now turned to the possible role of the technology earlier in the clinical pathway, in community diagnostic hubs.
This protocol describes plans to assess how acceptable DERM is to patients and staff, and how satisfied patients and staff are with the service experienced in DERM skin cancer community diagnostic hubs. It is part of a wider service evaluation designed to answer the question: “What standard does this service achieve?” which also includes evaluation of the safety, effectiveness, and cost-effectiveness on introducing DERM.
Methods
This protocol details qualitative interview methods nested within a broader mixed methods study. Using responses to a background patient/health care worker satisfaction questionnaire as a starting point, up to30 patients and staff will be invited to take part in online qualitative interviews across three implementation sites. We will aim to include patients where photography has been deemed appropriate and patients have consented to take part on the DERM pathway. Data will be analysed thematically using framework analysis and summarised narratively.
Discussion
In combination with parallel investigations exploring DERM accessibility, test accuracy, effectiveness via a controlled before and after study, and cost-effectiveness, this service evaluation aims to describe the standard achieved by DERM used in community diagnostic hubs. This will in turn inform any further roll-out of the service identifying aspects for improvement and identifying barriers to adoption.