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Details of Grant 

EPSRC Reference: EP/S02770X/1
Title: Civic Data Identity Partnership
Principal Investigator: Ainsworth, Professor JD
Other Investigators:
Devaney, Dr S Davies, Professor N Holm, Professor S
Researcher Co-Investigators:
Dr J A Cunningham
Project Partners:
Department: School of Health Sciences
Organisation: University of Manchester, The
Scheme: Standard Research
Starts: 01 October 2019 Ends: 30 September 2021 Value (£): 600,255
EPSRC Research Topic Classifications:
Information & Knowledge Mgmt Socio Legal Studies
EPSRC Industrial Sector Classifications:
Information Technologies Healthcare
Related Grants:
Panel History:
Panel DatePanel NameOutcome
12 Feb 2019 Digital Economy Investigator-led Research Projects 12 February 2019 Announced
Summary on Grant Application Form
The use of health data in research is well recognised as a potential driver of economic development in areas including machine learning, edge computing and internet of things, digital healthcare, genomics, and wellbeing. Public health, wider society and the $8tn global healthcare market face diminishing returns on late, expensive, imprecise and unfairly distributed care. As the US struggles with health system reforms moving from "volume to value" the UK has the data and governance to measure health needs and care value with sufficient resolution to create new supply chains of health and care. For example, NHS primary care data are sufficiently detailed to train algorithms in predicting needs and personalising notifications to help patients manage medications when they have more than one condition. Such advances in predictive, preventive, personalised care need social contractsand currencies for experimenting with algorithms in supply chains across different providers. The goal of the Civic Data Identity Partnership (CDIP) is to create a platform for patients and clinicians to manage their data and interactions with digital health solutions, such as predictive algorithms. By building the CDIP using Distributed Ledger Technology (DLT) the platform will take advantage of the secure, decentralised properties of DLT to ensure privacy, identity and trust based on an open technology. The use of DLT in health data management has been considered but not yet resolved, with approaches often being led by technology enthusiasts rather than driven by user need, which must include the views of citizens, the NHS, research organisations and industry. Over the course of two years the project will take a multi-disciplinary approach to research the potential of the CDIP platform based on four key objectives:

-CDIP Platform: providing the infrastructure for the management of predictive algorithms ensuring a provenance trail and validation record are maintained on the ledger

-Security and Trust: Developing a model that can be trusted by patients, clinicians and researchers to generate insight and learning on the efficacy of digital health interventions that demonstrates the efficacy of how apps can be used

-Consent: Building a clear and transparent governance platform to support patient consent so access to data can become easier. The ability to review who has access to data and how it is being used is increasingly important at an increasingly granular level.

-Efficacy and Reputation: There is a need to develop a model that can be trusted by patients, clinicians and researchers to generate insight and learning on the efficacy of digital health interventions that demonstrates the efficacy of how apps can be used, not just a rating in an app store. As algorithmic models are developed in interaction with data there is a ledger of use and outcomes that can be recorded, used and tested.CDIPs have the potential to transform the ways in which: citizens think about their personal data; and how public and private organisations use the data for improved safety, better management of complex care pathways and transparency of consent for use of data in health research.
Key Findings
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Potential use in non-academic contexts
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Impacts
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Summary
Date Materialised
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Further Information:  
Organisation Website: http://www.man.ac.uk