United Kingdom24 days leftOpen

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

008478-2026

Project Timeline

Contact Information

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

  • None specified for this preliminary market consultation.

ELIGIBILITY REQUIREMENTS

  • None specified for participation in this preliminary market consultation.
🔧

TECHNICAL CAPABILITY REQUIREMENTS

  • None specified for participation in this preliminary market consultation. The Request for Information (RFI) questionnaire will gather information on technical capabilities.
💰

FINANCIAL REQUIREMENTS

  • None specified for participation in this preliminary market consultation. All stated financial values are nominal and the financial envelope is yet to be defined.
📋

SUBMISSION REQUIREMENTS

  • Express interest by reviewing and responding to the Request for Information (RFI) questionnaire.
  • Register and apply via the Atamis e-sourcing portal at https://atamis-1928.my.site.com/s/Welcome.
  • Select "live opportunities" and navigate to the project titled "AI tools that assess and triage skin lesions for urgent skin‑cancer referrals" (reference 419845).
  • Download, complete, and upload your response to the RFI questionnaire via the Atamis portal.
  • Submit your response by the deadline: 2026-02-27T00:00:00.

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DOC
OCDS Record
OCDS Data008478-2026_ocds_record.json
Summary:
This document is an OCDS record providing data about NHS England's preliminary market consultation for AI tools to assess and triage skin lesions, requiring companies to respond to an RFI questionnaire via an e-sourcing portal.
DOC
OCDS Release Package
OCDS Data008478-2026_ocds_release.json
Summary:
This OCDS data package provides published information from NHS England regarding a preliminary market consultation for AI tools to assess and triage skin lesions for urgent skin-cancer referrals.
PDF
Official PDF Version
General Information008478-2026_official.pdf
Summary:
This document is a preliminary market consultation notice from NHS England seeking engagement on AI tools for assessing and triaging skin lesions for urgent skin-cancer referrals, inviting interested parties to respond to an RFI questionnaire via the Atamis portal.
HTM
Tender Notice
Notice008478-2026.html
Summary:
Download failed - no summary available

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78
Good

Tender Quality Score

This is a well-structured preliminary market consultation (RFI) for AI tools in healthcare, clearly outlining its purpose and submission process, despite some placeholder financial and timeline data.

Score Breakdown

Legal Compliance75/100

The tender is a legitimate preliminary market consultation (RFI) with appropriate CPV codes and no disputes. While 'Type' and 'Procedure' fields are 'None', this is technically accurate for an RFI, though a missing reveal date prevents full assessment of the submission period.

Missing reveal date
Formal 'Type' and 'Procedure' fields are 'None'
Clarity90/100

The purpose of the notice as a preliminary market consultation is exceptionally clear. The AI-extracted requirements explicitly state that typical tender requirements (exclusion, eligibility, technical, financial) are 'None specified for this preliminary market consultation,' which is very clear and unambiguous for an RFI. Submission instructions are well-documented.

Completeness70/100

Basic information is complete. Deadlines are specified, but the estimated value, contract duration, and start date are explicitly stated as nominal or placeholders, indicating they are not yet fully defined. One document download failed. For an RFI, this level of completeness is generally acceptable.

Nominal/placeholder financial and timeline data
One document download failed
Fairness90/100

The tender promotes fairness by being a preliminary market consultation, seeking broad input from the market. Full document access is provided, and the nominal value is disclosed. Electronic submission via a dedicated e-sourcing portal ensures equal access. No specific requirements appear tailored to a particular company.

Practicality75/100

Electronic submission is fully supported via the Atamis e-sourcing portal, which is highly practical. A direct URL is provided. While contract start date, duration, and financing information are present, they are explicitly stated as placeholders, which reduces practicality for potential bidders to plan for a future contract, though it's practical for responding to the RFI itself.

Key financial and timeline data are placeholders
Data Consistency90/100

All key fields are populated, and the explicit statements about nominal financial values and placeholder dates ensure high data consistency by clearly communicating their provisional nature. There are no suspensions or disputes, and dates are logically consistent.

'Liable Person' field is empty
Sustainability50/100

The tender focuses on innovative AI tools for healthcare, which has a positive societal impact. However, there are no explicit mentions of green procurement criteria or broader social aspects beyond the inherent health benefit. It is not EU funded.

No explicit green procurement criteria
No explicit broader social criteria

Strengths

Clear purpose as a preliminary market consultation (RFI)
Electronic submission via dedicated e-sourcing portal
Appropriate CPV classification
Strong focus on innovation (AI in healthcare)
High data consistency with clear provisional statements

Concerns

Key financial and timeline data are placeholders, not firm commitments
Missing reveal date for the RFI
One document download failed
Lack of explicit green or broader social sustainability criteria

Recommendations

1. Ensure all documents are accessible and downloadable.
2. For future formal tenders, provide firm financial and timeline details.
3. Consider integrating explicit green and social sustainability criteria into future procurement strategies for AI solutions.

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B
Tender Quality Score
78/ 100 · Good

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