Version: 1.0.0 | Published: 9 Nov 2026 | Updated: 0 days ago
Documentation
Description:
Developing an automated evaluation pipeline to identify the effectiveness of digital interventions in acute care.
Artificial Intelligence (AI) has the potential to help doctors detect skin cancer earlier. For example, DERM, an AI tool, can analyse photos of skin lumps and compare them to millions of images of skin cancer. However, there is a concern that AI tools like DERM might not work equally well for all patients. For example, the AI might be less accurate for people with darker skin tones because it may not have been trained with enough examples of diverse skin types.
This project has three aims:
1. To check if DERM works well in practice.
2. To identify if any patient groups see worse outcomes.
3. To create a system to quickly test other AI tools.
This project will benefit patients by making sure that AI tools like DERM work equally well for everyone.
Coverage
Spatial:
West Midlands
Provenance
Origin
Purposes:
- Audit
- Study
Temporal
Accrual Periodicity:
Other
Start Date:
01 January 2015
Time Lag:
Not applicable
Accessibility
Access
Access Rights:
Information Governance and Ethics - West Midlands Secure Data Environment (https://westmidlandssde.nhs.uk/information-governance-and-ethics)
Access Service:
Data Request Process - West Midlands Secure Data Environment
(https://westmidlandssde.nhs.uk/research/data-request)
Access Request Cost:
Please email wmsde@uhb.nhs.uk
Delivery Lead Time:
More than 6 months
Jurisdictions:
GB
Usage
Resource Creators:
This publication uses data from WMSDE, an ethically approved NHS Secure Data Environment (NRES Reference 24/YH/0022)
Format and Standards
Vocabulary Encoding Schemes:
LOCAL
Conforms To:
LOCAL
Languages:
en
Formats:
SQL