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Improving Multimorbidity Acute Care Using Data Analytics, phase 1

Digital, AI & Machine Learning
Health & Life Sciences
Project Size:
Up to £10,000


The aim is to improve clinical decision-making by introducing a data-driven approach that must:

  • Identify multimorbidity patients
  • Provide individual risk stratification through real-time data visualisation
  • Provide decision support following an emergency admission

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.


Projects are expected to start by 5 May 2021 and can last up to 3 months.

To lead a project, you can:

  • Be an organisation of any size
  • Work alone or with others from business, research organisations, research and technology organisations or the third sector as subcontractors

Contracts will be awarded only to a single legal entity. 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.

Phase 1 - Feasibility study R&D contracts of up to £10,000, inclusive of VAT will be awarded for each successful project for up to 3 months. 

Phase 2 - The second phase involves up to 2 contracts being awarded to organisations chosen from the successful phase 1 applicants. Up to £55,000 inclusive of VAT will be awarded for each contract, to develop a prototype and undertake field testing for up to 9 months.


Multi-morbidity (two or more concurrent chronic conditions) is associated with poor quality health, reduced life expectancy, greater levels of social exclusion, and reduced employment opportunities.

Currently the identification and characterisation of multi-morbidity is hindered by poor real-time access to fragmented individual data sets. This leads to delays in clinicians being able to make rapid, informed recommendations on the best next steps in a person’s care journey.

The aim is to develop a data-driven solution that can improve and personalize the care plans for patients with multimorbidity when they have an emergency admission to hospital by introducing analytical models in the clinical system that could assist with the risk assessment of patients.

In phase 1, you must:

  • Engage with clinicians, patients and other stakeholders to understand data sets, ascertain end-user requirements and how information visualisation can be tailored to clinicians
  • Outline requirements and plans for Phase 2

At this stage contracts will be awarded for phase 1 only. You must define your goals and outline your plan for phase 2. This is part of the full commercial implementation in your phase 1 proposal.  

You must demonstrate a credible and practical route to market, so your application must include a plan to commercialise your results.

Will not fund projects that cover:

  • Solutions that are incompatible with the current technologies used by the healthcare community and the main patient population in Scotland
  • Basic research or exploratory studies where an idea or solution has not been identified
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