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FCC appointed to work with National Consortium of Intelligent Medical Imaging (NCIMI)

Future Care Capital will develop a value framework applicable to medical imaging data with the National Consortium for Intelligent Medical Imaging hosted by the University of Oxford.

3rd February 2020 about a 3 minute read

Future Care Capital (FCC) has been appointed to work with the National Consortium of Intelligent Medical Imaging (NCIMI), hosted by the University of Oxford, on a project which could enable the NHS to better harness the value of health data and, specifically, make use of medical imaging data to deliver patient and societal benefit.

There is a growing awareness of the potential for clinical, social, economic development and commercial value to be derived from data controlled by and/or generated with the NHS, and the landscape within which front-line professionals, Higher Education Institutions (HEIs), corporate entities and policymakers are operating is, necessarily, fast-evolving.

The Government has published the second iteration of its Code of Conduct for Data-driven Health and Care Technology and, most recently, an addendum to the Code which provides guiding commercial principles designed to ‘create the right framework to realise the benefits of health data’. It has also recognised the need to establish a National Centre of Expertise within NHSX to provide NHS organisations with the legal and commercial support they need to forge data agreements which maximise the value of such data and, in time, the Centre is expected to develop and improve articulation of a national policy framework in this important regard.

Advice and guidance to NHS trusts and entities who wish to enter into agreements with third parties is limited. NCIMI has, therefore, appointed Future Care Capital to explore how it might approach the development of an appropriate ‘data value capture framework’.

The programme of work is designed to explore whether there is scope for the range of parties involved in NCIMI to distill and agree strategic priorities such that a differential value framework can be developed to guide agreements between individual data subjects, publicly funded and accountable health and care bodies, HEIs and commercial entities where broad-ranging data sets are involved. It will then test any resultant framework to derive lessons for dissemination and discussion with other interested parties.

 

We welcome this opportunity to work with NCIMI and its partners and we hope that the framework we develop will contribute to ensuring that health data is better valued and stewarded for the benefit of society and, ultimately, those who receive care. Greg Allen, FCC’s Chief Executive
We are delighted to be working with FCC on what we consider a fundamental for NCIMI in developing medical imaging AI with our stakeholders – so that it produces benefit and value for all parties and we ensure we capture and define this in a collaborative and transparent manner. Dr. Claire Bloomfield, NCIMI

ABOUT NCIMI

The National Consortium of Intelligent Medical Imaging (NCIMI) is one of 5 AI Centres of Excellence in digital pathology and medical imaging established by Innovate UK, through the Industrial Strategy Challenge Fund in January 2019. NCIMI was established to integrate expertise to accelerate the potential impact of AI in enhancing the utility and efficacy of clinical imaging, for patient benefit and for UK plc. Clinical imaging has a significant role to play in the delivery of more personalised care, and at earlier diagnosis to support disease prevention and treatment. The opportunity is performing the right test, in the right manner, on the right patients, with the right interpretation and optimal communication of results.

NCIMI brings together the necessary expertise across NHS, academia, industry and patient groups to produce a unique and trusted national resource for developing computer-aided imaging to meet this opportunity. This is the first time such a multi-stakeholder approach has been taken to clinical imaging and AI; integrating the different viewpoints generates significant patient trust and added value for development, implementation and NHS adoption.