Driving Change through AI and Intelligent Healthcare

Driving Change through AI and Intelligent Healthcare
Driving Change through AI and Intelligent Healthcare
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AI has moved from promise to practice in the NHS. Backed by a multi-billion pound national investment in technology and data, artificial intelligence is now being applied at scale, from predictive models that forecast demand and risk to analytics platforms that turn routine data into decisions at ward, service and system level. As highlighted in the 10 Year Health Plan, AI is one of five transformative technologies expected to reshape how care is delivered, planned and experienced.

Intelligent healthcare means data and AI genuinely embedded in everyday practice and trusted by the people who use it, supporting clinical decisions, predicting demand and risk, targeting resources through dashboards and real-time reporting, and identifying patients who need intervention sooner, with the right governance in place. The strongest work starts from a clearly defined clinical or service problem rather than from the technology, and improves clinical outcomes as well as efficiency. Engaging with the public and the NHS workforce to fully address the quality and ethical concerns of these technologies remains a challenge, and national work on AI regulation, guidance and assurance underlines the importance of safe, transparent adoption.

This award will recognise those harnessing AI, analytics and intelligent technologies to bring about positive change in the delivery or planning of care, cash-releasing operational benefits or a substantial improvement in patient outcomes. With a crowded market and a great deal of hype, judges will expect independently verifiable evidence. Winning projects will evidence clear financial or clinical benefits and genuine adoption in everyday practice, as well as display high levels of patient and staff engagement.

Eligibility

  • All NHS organisations (including providers, partnerships and systems), General Practice and primary care organisations.
  • Evidence must relate to a project, ongoing or completed within the 2 years up until the award entry deadline.

Ambition

The challenge and context within which your project, person or organisation is set alongside your goals and targets whether quantitative or qualitative, and how this aligns with national priorities.

  • Provide a clear rationale for the AI project and the context in which this was required - what problem or inefficiency did you identify, and what strategic thinking was done before bringing technology to the table?
  • Explain what made your approach new or distinct from existing practice, and how the AI tool or approach was identified, selected and assured before wider rollout.
  • Define the intended goals and measures of success, including any targets for time saved, cost reduction, error rates, clinical outcomes or staff experience, and how these align with national priorities for AI adoption.

Collaboration

 The stakeholders' involvement in co-designing and delivering the project. How have patients, staff at all levels, communities and other parties worked together to realise the outcomes?

  • Describe how the staff who would be directly affected by the AI were involved in identifying the need, selecting the approach, and implementing it.
  • Discuss how concerns from patients or other groups around the ethical and quality issues generated by AI were addressed, and how patients or service users were involved in shaping the initiative, including any implications for how their data is used.
  • Describe and provide testimonial evidence of the working relationship between the technology partner (if relevant) and the NHS organisation that enabled a genuinely co-produced product or service, and any partnerships with other NHS organisations or national bodies that were essential to delivery.

Impact

The measurable benefits delivered to patients, staff, your organisation or the wider system. Provide data and evidence showing improvements to outcomes, quality, access, equity or efficiency.

  • Share with supporting information the outcome of the project, and evidence its performance against targets, including any operational, clinical or financial metrics, with clear before-and-after comparisons.
  • Discuss how issues around bias, transparency, accountability and safety were addressed, and how the tool is monitored in live use.
  • Evidence the beneficial impacts on staff and patients as a result of the project - including time released for care - and any financial impacts and value for money.

Scale

How your work has been shared, adopted or replicated beyond your immediate team or organisation. This includes dissemination through publications, presentations, toolkits, partnerships or inspiring similar initiatives elsewhere.

  • Describe how the initiative has been rolled out beyond its initial deployment, across additional teams, sites or organisations.
  • Share how learning, governance frameworks or best practice have been shared with other NHS organisations, including through publications, national networks or toolkits.
  • Discuss the scope for further replication or scaling up of this project in other settings, and what steps have been taken to make that possible.

Sustainability

The potential for the project/work to continue and create lasting impact. Evidence of how it can be sustained or built upon.

  • Explain how the AI initiative is embedded into business as usual, and what resource, funding and governance arrangements are in place to sustain it.
  • Describe how the organisation identifies and addresses risks from the AI, including errors, bias or unintended consequences, and what processes exist to act quickly if problems arise.
  • Provide evidence that this work is building long term capability in the organisation, and how it contributes to the broader NHS goal of becoming a more efficient, intelligently enabled system.

Driving Change through AI and Intelligent Healthcare

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To find out more

Partnership opportunities:  Sponsorship Sales Team
Awards entry enquiries: Support Team
Judging and event management: Awards Support