Source: https://tendernation.io/opportunities/01a13c90-999c-7130-887b-75b4880d3cf0/academic-collaboration-on-artificial-intelligence

awarded GB open procedure Suitable for SMEs

# Academic Collaboration on Artificial Intelligence

[National Institute For Health And Care Excellence](https://tendernation.io/buyers/national-institute-for-health-and-care-excellence)

Estimated value

£100,000

Published

5 May 2021

Deadline

Closed

4 Jun 2021

## Who can bid

- Buyer says suitable for SMEs

    The buyer ticked “suitable for SMEs” on the notice. Anyone can still bid.
- Small contract value

    Valued under £135,018 including VAT, the lowest Procurement Act threshold for goods and services.
- Open procedure

    Anyone can submit a full tender; there is no shortlisting stage.

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## About this tender

Overview Description for an Academic Collaboration on Artificial Intelligence

NICE is looking for an academic partner (or joint bid, or consortium) to work on the delivery of an NHSx AI Lab commissioned project to develop NICE's Evidence Standards Framework for Digital Health Technologies to fully incorporate data driven technologies that incorporate artificial intelligence, including those that use adaptive algorithms. The Framework will describe an approach to the classification of AI technologies that triages technologies for health technology evaluation and will describe the levels and types of clinical evidence that should be available, or developed, for these technologies to demonstrate their clinical and economic value in the UK health and care system. This includes evidence of clinical effectiveness relevant to the intended use(s) of the technology.

The standards framework will be used to support innovators and technology developers, including commercial organisations, of appropriate evidence-generation plans; research funders and investors who are considering funding the development of data driven technologies as well as evaluators and commissioners.

To support this work NICE is looking for an academic partner with

experience of developing:

â&#128;¢ risk-based approaches to the classification of technologies that incorporate artificial intelligence for use in health care settings

â&#128;¢ methods for the evaluation of data driven technologies (including those that incorporate artificial intelligence) in terms of their clinical effectiveness and value

Full details in the attached documents

Read full description

## CPV classification

Research and development services and related consultancy services

Source

Contracts Finder (UK)

[View official notice](https://www.contractsfinder.service.gov.uk/notice/4b63c42c-cdae-4c24-9bf3-6c8ba56e2532)

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