What often gets overlooked is what happens once that photo arrives. In many consultation flows, it remains just an attachment that waits to be opened and reviewed. Nothing structured is added to the image before the human part of the process begins.
This is not a case for changing patient behaviour. Patients are already sending the photos. The question is what the consultation flow can do with those images once they arrive.
Where these photos already show up Skin photos can enter an online consultation through several familiar touchpoints:
Asynchronous messaging with a GP, pharmacist or nurse, where a photo is attached alongside a written description.
E-consult intake forms, where patients can upload a photo alongside their symptoms.
Symptom-reporting flows in primary care or online pharmacy settings, where an image accompanies a structured questionnaire.
Follow-up conversations, where a patient sends another photo to show how a skin concern has changed.
These are already ordinary parts of online consultation and primary care flows. Patients use photos because some skin concerns are difficult to describe clearly in words alone.
What happens to them once they arrive
The image itself does not necessarily provide anything to the patient while they wait. The patient who sent it gets no immediate sense of what the photo might show; they have to wait until that human step is completed, whether that is a few minutes later or a day or two later.
This creates a gap between submitting a photo and receiving a response. Patients may have sent the image because they want to provide more information about their skin concern, but the image remains separate from any immediate informational feedback. For platforms handling hundreds or thousands of skin photos each month, this leaves a recurring gap between what the patient wants in the moment and what the consultation flow currently provides. The photo is present, but its role in the patient experience can end at submission.
What structuring this flow would look like
That gives the photo an immediate purpose for the patient. Instead of simply becoming an attachment that waits in a queue, it provides something useful in the moment, helping them understand what they may be looking at, or feel less uncertain while they wait for the existing consultation process.e those details upon request, rather than expecting them to be publicly available.
Where Autoderm fits informational skin check Data Processing Agreement (DPA) using. The process is straightforward. The patient submits their own skin photo and receives Autoderm’s ranked, informational condition suggestions. The self-service experience remains within the existing consultation flow, while the established human process continues alongside.
Autoderm’s suggestion accuracy has been demonstrated across internal verification, simulated clinical use and prospective clinical studies, with results ranging between 72% to 93% (Coachella Study 2025). Submitted images are processed without retaining identifiable data, in line with Autoderm’s approach to data protection by design
Autoderm also holds CE marking as a legacy Class I device under the MDD, with MDR Class IIa in progress test console
