The world’s most advanced AI
skin cancer pathways

Skin Analytics supports NHS dermatology teams by creating patient pathways that leverage our AI as a Medical Device (AIaMD), DERM, to help triage patients to the right place at the right time.

Cancer Wait Times for dermatology are challenging

Nationally, urgent suspected skin cancer referrals are increasing by more than 11% each year and without innovation, we cannot expect our dermatology teams to be able to achieve these targets in the future.

Despite the significant and sustained efforts from dermatology teams across the country, cancer wait time targets are not being met. Provisional NHS data suggests that at the end of 2022, 1 in 10 urgent skin cancer referrals waited more than 4 weeks for a first assessment. Diagnostic delays of 2 weeks or more can lead to a 20% decrease in 5-year-survival rates. [3]

[3] Pacifico M, Pearl R, Grover R.
The UK Government Two-Week Rule and its Impact on Melanoma Prognosis: An Evidence-Based Study.
The Annals of The Royal College of Surgeons of England. 2007;89(6):609-615.

Our typical pathway

Step 1

GP referral

GP refers to secondary care on the urgent suspected skin cancer pathway as normal.

Step 2

Image capture

Patients’ first appointments are at an imaging clinic, where consent, medical history, context and dermoscopic images are captured.

Step 3

AI assessment

DERM assesses the dermoscopic images of lesions only.

Step 4

Next steps

Based on the outcome of the AI assessment, the case will be directed to the right level of care.

BENIGN

Patients are sent an outcome letter confirming the results and are discharged from the urgent suspected skin cancer pathway.

PREMALIGNANT/ MALIGNANT

A trust dermatologist will review the case virtually and decide on a management outcome which will then be communicated to the patient.

Over 92,000 NHS patients assessed

Proven experience with strong outcomes for our partners

At the end of Q1 2024, Skin Analytics had assessed over 92,000 NHS patients for suspicion of skin cancer. Our performance reporting shows our system consistently performs at a level comparable to specialists while reducing the number of urgent suspected cancer referrals dermatology teams need to review face to face.

Find out more

If you would like to know more about how Skin Analytics can help you and your dermatology team deliver best in class dermatology, get in touch.

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