Deployment of unique diagnosis aid to be boosted across the NHS
- Currently deployed in University Hospitals Birmingham and Mid and South Essex Health & Care Partnership, AI platform DERM will now be available to clinicians serving millions of patients around the country
- DERM is the only AI solution that can identify eleven different lesion types, and is designed to accelerate patient diagnosis and relieve pressure on the healthcare system
- Skin Analytics created its AI technology to support dermatology capacity in the NHS, giving dermatologists time back to spend with patients who specifically need their care
We’re delighted to announce that we have been granted a Phase 4 AI in Health and Care Award by NHSX!
Created to accelerate the evaluation of Artificial Intelligence (AI) technologies within the NHS, the award is highly competitive and prestigious, with an extensive evaluation process. Being granted the award is a major validation of what we do at Skin Analytics and the effort we have put in to build strong foundations based on clinical evidence, regulatory rigor and proprietary AI.
Since 2012, we have worked with leading experts in dermatology, clinical research and general practice to develop DERM, which analyses dermoscopic images of skin lesions using AI algorithms. The result is DERM, our CE marked medical device designed to relieve pressure on primary and secondary care services while helping more people to survive skin cancer.
One of the dermatologists we work with, Dr Lucy Thomas, put it best:
Skin Analytics’ receipt of this award is great news for the NHS and dermatology departments. It will allow us to gather real-world data to demonstrate the benefits of AI on patient pathways and workforce challenges. Like many services, dermatology has severe backlogs due to the COVID-19 pandemic. This award couldn’t have come at a better time to aid recovery and give us more time with the patients most in need of our help.
Having already deployed in Mid and South Essex Health and Care Partnership and University Hospitals Birmingham, DERM has led to a significant reduction in unnecessary referrals while helping to tackle the dermatology backlog created by COVID-19. Through the award, these benefits can now be shared more widely across the NHS through a series of deployments giving thousands of clinicians and millions of patients access to Skin Analytics.
The AI award is a major step forward in making DERM more widely available across the NHS. It will enable us to put our technology into the hands of GPs and clinicians around the country and allow them to assess its benefits for themselves. The key to skin cancer survival is early diagnosis, and DERM helps to prioritise patients into specialist services sooner rather than later. At the same time, we can more effectively manage the sharply rising demand for dermatology services with the workforce we have.
In the NHS, Skin Analytics uses its AI to help increase dermatology capacity, speed up patient access to care, and decrease backlogs. It allows patients with benign skin lesions to be identified earlier in their journey, redirecting dermatology capacity away from spending time diagnosing benign lesions to, instead, spending time with patients who really need their care.
When deployed in primary care, Skin Analytics is used as a diagnostic support tool used to aid GPs with their decision making. With an instant assessment from DERM, Skin Analytics helps GPs place patients on the right pathway from the start.
In secondary care, Skin Analytics creates AI hubs to triage out benign lesions and supports dermatologists with a teledermatology platform to direct patients to the right next step. This helps discharge benign referrals earlier in the pathway, speed up cancer diagnosis, and re-allocate dermatologists’ resources to focus on patients who truly need their care. As of today, Skin Analytics has assessed more than 6,500 patients and discharged over 1,600 benign referrals.
If you’re interested in learning more about this award or what it means for the NHS reach out to us at AAC@skinanalytics.co.uk