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AI Supporting Early Detection and Diagnosis in Heart Failure Management (Phase 1)

Opens:
12/10/2020
Closes:
9/12/2020
Sectors:
All
Health & Life Sciences
Project Size:
Up to £10,000

Summary

The aim of this competition is to develop a system that can provide accessible, timely and accurate data on heart failure from healthcare information which is routinely collected in primary and secondary care.


The funders are looking for digital and data-driven partners to work with clinical and informatics experts in Tayside. Together they will develop a solution to automatically evaluate and accurately extract meaningful data from a number of healthcare data sources, such as:

  • Image
  • Quantitative
  • Unformatted text


The output will be a national dashboard to give clinicians, managers and policymakers timely access to data so that they can manage, develop or improve patient care.


This is phase 1 of a potential 2-phase competition. A decision to proceed with phase 2 will depend on the outcomes from phase 1 and assessment of a separate application into a subsequent phase 2 competition. Only successful applicants from phase 1 will be able to apply to take part in phase 2.


Eligibility

Projects are expected to start on 1 February 2021 and can last up to 3 months.


To lead a project, you can:

  • Be an organisation of any size
  • Work alone or with other organisations


Contracts will be awarded only to single legal entities. However, if you can justify subcontracting components of the work, you can employ specialist consultants or advisers. This work will still be the responsibility of the main contractor.


The funders welcome bids from a single entity that brings together sector specialists.

Scope

The aim of this competition is to develop a system using AI or machine learning algorithms which will provide accessible, timely and accurate data on heart failure from patient healthcare information collected in primary and secondary care.


The University of Dundee Health Informatics Centre (HIC) is recognised as a world leader in health data linkage. It currently maintains a clinical data repository of eHealth data covering approximately 20% of the Scottish population. The eHealth repository combines routine collected datasets for the Tayside and Fife population, with local speciality research, and clinical datasets extending back 30 years.


Data associated with heart failure diagnosis will be available to you on the HIC platform. This may include (but not be limited to), a combination of:

  • Echocardiogram imaging
  • Additional medical imaging
  • Biological data


You will benefit from working with NHS Tayside, NHS Greater Glasgow and Clyde Health Board and HIC to develop and test your innovative solution.


You must use computer infrastructure in the Health Informatics Centre’s “safe haven” ISO27001 environment.


In phase 1 you must:

  • Demonstrate the technical feasibility of the proposed innovation
  • Establish ongoing collaboration between technical and clinical members of the project team in Scotland
  • Formalise any required ethical approvals, data sharing agreements and contracts
  • Recognise and plan for the cost implications of multi-modality datasets such as text, phenotype, CT, X-ray, echocardiograms, multi-dimensional data
  • Develop the foundation to deliver in phase 2
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