Phase 2


—–September 2018 to December 2019

Our first aim is to build upon best practice and identify, develop and learn new processes, practices, knowledge and skills to develop new and improved products and services that will benefit the Digital Innovation Hub programme. The exemplar innovation projects are therefore designed to inform the full Digital Innovation Hub programme design and specification.

Health Data Research UK is leading exemplar projects that will establish “confidence in concept” of the Digital Innovation Hub Programme technology solutions, and proof of readiness for industry use cases.

The call for projects was announced on 10 October 2018 and was led by the MRC and applications were reviewed by an Independent Expert Review Panel in December 2018.



The ten winning innovations, known as ‘Sprint Exemplar Innovation Projects’, are:


Using a digital transformation approach to drive improved clinical outcomes for patients with heart failure

Improving outcomes and reducing hospital admissions of 1,000 people with heart failure in Greater Manchester by using data from implantable devices already used to treat patients to detect earlier signs of deterioration – led by Health Innovation Manchester

Academic/NHS partners: University of Manchester, Manchester Heart Centre, Greater Manchester Health and Social Care Partnership, NHS Digital Academy

Industry partners: Medtronic, North West eHealth


PED4PED – People with Epilepsy sharing Data for care with Paramedics and the Emergency Department

Improving outcomes for patients with epilepsy and reducing unnecessary admissions to A&E by connecting data from GPs, hospitals and ambulance services and making this available to paramedics and A&E staff when they are called to patients requiring urgent care – led by the University of Liverpool

Academic/NHS partners: University of Liverpool, North West Ambulance Service NHS Trust, Walton Centre NHS Trust, Royal Liverpool and Broadgreen University Hospitals NHS Trust, Alder Hey Children’s NHS Foundation Trust

Industry partners: Forcare


Developing an integrated data repository and analysis platform to maximise the impact of large-scale cancer cohort studies

Using data from over 80,000 prostate cancer patients across the world to understand features that makes the cancer aggressive, to optimise treatment pathways and avoid overtreatment for less aggressive cancers – led by Oxford University

Lead organisation: University of Oxford – Freddie Hamdy

Industry partners: Databiology


Cloud-based integration of phenotype and genotype data for rare disease research

Transforming understanding and improving diagnosis of rare diseases by combining NHS and research data – led by Cambridge University Hospitals NHS Foundation Trust

Academic/NHS partners: Cambridge University Hospitals NHS Foundation Trust, Eastern AHSN, Cambridge University Health Partners, NIHR BioResource, Leeds Teaching Hospitals NHS Foundation Trust, Newcastle upon Tyne Hospitals NHS Foundation Trust, Royal Papworth Hospital NHS Foundation Trust, Royal Liverpool and Broadgreen University Hospitals NHS Trust, University of Cambridge, Public Health England – National Disease registries, HDR UK Cambridge, Wellcome Sanger Institute, rare diseases patient representative.

Industry partners: Privitar and AIMES with support from Microsoft Research, Healx, Mendelian


A scalable federated solution for UK health data encryption, linking and discovery

Establishing a regional network of linked de-identified datasets of GP, hospital and research records that protects patient privacy and confidentiality and tests how this approach could work nationally – led by University of Leicester

Academic/NHS partners: University of Leicester, Leicester City Clinical Commissioning Group and health care integration, University of Nottingham, University of Warwick, University Hospital Birmingham, NHS Leicestershire Health Informatics Service

Industry partners: Privitar


Enhancing Clinical Responses through Digital Information Transfer and Alerting by a Hospital-wide Smartphone Application

Evaluating the impact of ‘Streams’; a digital app that gives doctors and nurses real time clinical information via their smartphones – led by the Institute of Global Health Innovation (IGHI), Imperial College London

Academic/NHS partners: Imperial College Hospitals NHS Trust, Imperial College London

Industry partners: Deepmind


Using Routine NHS Data to Accelerate Clinical Trial Recruitment

Using hospital activity data to identify patients who may be suitable for large-scale clinical trials and increasing opportunities for volunteers to join major studies into new, life-saving innovations – led by Oxford University

Academic/NHS partners: NIHR BRC, University of Oxford, NHS Digital

Industry partners: North West Ehealth Ltd, Aire Logic Ltd


GOSH–DRIVE Digital Research Environment for secure cloud-based health data management, FHIR-based interoperability and auditable analytics; a platform for research and advanced cognitive services (AI) development

Improving children’s health by making better use of de-identified clinical data for research and use of technology that enables the safe handling of this data – led by Great Ormond Street Hospital for Children NHS Foundation Trust and UCL

Academic/NHS partners: Great Ormond Street Hospital, GOSH DRIVE (Unit within GOSH)

Industry partners: Aridhia


Graph-Based Data Federation for Healthcare Data Science

Creating a map that will enable researchers to find and explore different datasets in localities across the UK and explore how to link these for large scale research – led by the University of Edinburgh

Academic/NHS partners: University of Edinburgh, University of Strathclyde, University of Glasgow, University of Aberdeen, University of St Andrews, University of Glasgow, NHS Education for Scotland Digital Platform, University of Dundee, NHS National Services Scotland

Industry partners: Microsoft Research, Platinum Informatics


MyEyeSite: a feasibility study and prototype for a patient-owned repository of rare-disease clinical and genetic data using inherited retinal disease as a paradigm

Developing a technology solution that enables patients with rare, genetic eye disease to access their own, connected data from multiple locations that helps improve care and research – led by Moorfields Eye Hospital NHS Foundation Trust.

Academic/NHS partners: UCL

Industry partners: Loft Digital


Projects will commence in February 2019 and must complete before the end of 2019.



View competition for Sprint Exemplar Innovation Projects

Watch Event Highlights from the DIH Frontiers Meeting for Industry 2018

View the Frequently Asked Questions for the Sprint Exemplar Innovation Projects

Watch the recordings of our webinars


—–Independent Expert Review Panel

All applications were assessed by a specially-constituted multidisciplinary panel chaired by Professor Sir Nigel Shadbolt in December 2018.  View the details of panel members

If you would like to register your interest to receive news and updates about the Digital Innovation Hub programme and events, please email us at and we will add you to our contact list.

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