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AI tools that assess and triage skin lesions for urgent skin cancer referrals

Tender Overview

ORGANIZATION

NHS England

LOCATION

Inner London - East, United Kingdom

VALUE

£1

DEADLINE

February 27, 2026 at 00:00

CATEGORY

Other

CPV CODE

48180000

REFERENCE

008481-2026

Project Timeline

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Contact Information

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View Original

Original Tender Description

Preliminary market consultation to inform the NHS commercial strategy for AI tools that assess and triage skin lesions for urgent skin cancer referrals. Please note all stated financial values in relation to this notice are nominal, as the financial envelope is yet to be defined. Projected contracting dates in the notice, similarly do not reflect any plans as these are yet to be defined. To express interest, review and respond to the request for information questionnaire please register and apply via Atamis e-sourcing portal using the following link. https://atamis-1928.my.site.com/s/Welcome select live opportunities, navigate to the project titled: "AI tools that assess and triage skin lesions for urgent skin‑cancer referrals" (ref 419845) and follow the instructions to download, complete and upload your response to the questionnaire.
⚠️

MANDATORY EXCLUSION GROUNDS

  • Not applicable as this is a preliminary market consultation (Request for Information) and not a tender for contract award.
✓

ELIGIBILITY REQUIREMENTS

  • Be a company interested in providing AI tools for assessing and triaging skin lesions for urgent skin cancer referrals.
🔧

TECHNICAL CAPABILITY REQUIREMENTS

  • Possess or be developing AI tools capable of assessing and triaging skin lesions for urgent skin cancer referrals.
  • Be prepared to provide information regarding the capabilities of such AI tools via the RFI questionnaire.
💰

FINANCIAL REQUIREMENTS

  • Not applicable as this is a preliminary market consultation (Request for Information) and not a tender for contract award. Financial values are nominal.
📋

SUBMISSION REQUIREMENTS

  • Register and apply via the Atamis e-sourcing portal (https://atamis-1928.my.site.com/s/Welcome).
  • Select "live opportunities" on the Atamis portal.
  • Navigate to the project titled: "AI tools that assess and triage skin lesions for urgent skin‑cancer referrals" (ref 419845).
  • Download the Request for Information (RFI) questionnaire.
  • Complete the RFI questionnaire.
  • Upload the completed RFI questionnaire via the Atamis e-sourcing portal.
  • Submit the response by the deadline of 2026-02-27T00:00:00.

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DOC
OCDS Record
OCDS Data008481-2026_ocds_record.json
Summary:
This OCDS record provides structured data detailing NHS England's preliminary market consultation for AI tools to assess and triage skin lesions for urgent skin cancer referrals, inviting interested parties to respond to an RFI questionnaire.
DOC
OCDS Release Package
OCDS Data008481-2026_ocds_release.json
Summary:
This OCDS data package provides structured information about NHS England's preliminary market consultation for AI tools designed to assess and triage skin lesions for urgent skin cancer referrals.
PDF
Official PDF Version
General Information008481-2026_official.pdf
Summary:
This document is a preliminary market consultation notice from NHS England, inviting companies to respond to a Request for Information questionnaire via the Atamis e-sourcing portal by 27 February 2026, to inform their commercial strategy for AI tools assessing and triaging skin lesions for urgent skin cancer referrals.
HTM
Tender Notice
Notice008481-2026.html
Summary:
Download failed - no summary available

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75
Good

Tender Quality Score

This is a well-structured preliminary market consultation (RFI) for AI tools in healthcare, demonstrating good clarity and fairness, though some structured data fields are incomplete.

Score Breakdown

Legal Compliance75/100

The tender clearly defines itself as a preliminary market consultation (RFI), which is a compliant pre-procurement activity. CPV codes are appropriately assigned. However, the 'Type' and 'Procedure' fields being marked as 'None' in the basic information is a formal data entry oversight, even if clarified in the description.

•Basic information fields 'Type' and 'Procedure' are marked as 'None'.
Clarity80/100

The description is exceptionally clear about the tender's purpose as an RFI, explicitly stating that financial values and dates are nominal. AI-extracted requirements are well-documented and understandable, with appropriate 'not applicable' notes for RFI-specific elements.

Completeness70/100

Most essential information like title, organization, reference, and deadlines are provided. Requirements for RFI participation are defined. However, the 'Type' and 'Procedure' fields are incomplete, and one document failed to download, slightly impacting overall completeness.

•Basic information fields 'Type' and 'Procedure' are marked as 'None'.
•One tender document failed to download.
Fairness85/100

The RFI appears fair and open, with full document access via a provided URL and clear instructions for e-submission. Requirements are generic and not tailored, promoting broad participation. Deadlines are reasonable for a market consultation.

Practicality65/100

Electronic submission is clearly supported via the Atamis e-sourcing portal, and a direct URL is provided. While contract start date and financing information are available, their nominal nature, though appropriate for an RFI, reduces the immediate practical planning for potential future bidders.

•Nominal financial values and contract dates, while appropriate for an RFI, limit detailed planning for potential future bidders.
Data Consistency90/100

Data is largely consistent, with explicit notes clarifying the nominal nature of financial values and dates, aligning with the RFI status. The 'Type: None' and 'Procedure: None' are the main inconsistencies, but the description clarifies the actual nature.

•Inconsistency in 'Type' and 'Procedure' fields being 'None' while the description clarifies it as an RFI.
Sustainability50/100

The tender inherently focuses on innovation by seeking AI tools for healthcare. However, there is no explicit mention of green procurement, social aspects, or other broader sustainability criteria.

•No explicit green procurement criteria.
•No explicit social criteria.

Strengths

Clear definition as a preliminary market consultation (RFI).
Detailed and clear instructions for electronic submission.
Generic and open requirements, promoting fair competition.
Appropriate CPV code for the subject matter.
Focus on innovative AI solutions for healthcare improvement.

Concerns

Structured data fields 'Type' and 'Procedure' are marked as 'None'.
One tender document failed to download, potentially hindering access to full information.
Lack of explicit green or social procurement criteria.
Nominal financial values and contract dates, while standard for an RFI, limit detailed future planning for respondents.

Recommendations

1. Ensure all structured data fields, including 'Type' and 'Procedure', are accurately populated to enhance data quality and formal compliance.
2. Verify the accessibility and integrity of all linked tender documents.
3. Consider incorporating explicit sustainability (environmental and social) criteria in future stages of this procurement process.

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Tender Quality Score
75/ 100 · Good
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