Driving Change through AI and Automation Award

Driving Change through AI and Automation Award
Driving Change through AI and Automation Award
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How to apply

Entries are now closed

Backed by multi-million pound national investments, automation and AI hold significant potential in supporting the NHS in its recovery through facilitating improvements in care, diagnosing conditions more quickly and enhancing NHS productivity. However, engaging with the public and NHS workforce to fully address the quality and ethical concerns of these technologies still remains a challenge.

This award will celebrate those looking to harness automation and AI to bring about positive change in the delivery or planning of care, cash-releasing back-office benefits or a substantial improvement in patient outcomes. Winning projects will evidence clear financial or clinical benefits, 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

  • Provide a clear rationale for the AI or automation project and the context in which this was required.
  • Explain the project aims and what strategic thinking was done before bringing technology to the table.
  • Define the intended goals and measures of success

Outcome

  • Share with supporting information the outcome of the project, and what process, service or pathway change recommendations were made to operational/clinical colleagues as a result
  • Discuss how issues around bias, transparency and accountability were addressed
  • Evidence the performance of the project and resulting process changes against targets, including any operational, on-time delivery, or clinical metrics
  • Discuss any financial impacts of the project, including evidence relating to value for money

Value

  • Discuss the benefits realised by the project, both intended and unforeseen, and how that value has been capitalised on
  • Evidence any beneficial impacts on staff and patients as a result of the project. This could be quantitative or qualitative.

Involvement

  • 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
  • Discuss how concerns from patients or other groups around the ethical and quality issues generated by AI/automation usage were addressed
  • Share how data was shared effectively across differing departments to drive the project forwards

Spread

  • Describe and if possible evidence how the learnings from the project have been shared across or beyond your organisation/system
  • Discuss the scope for further replication or scaling up of this project in other settings

To find out more

Entries, attendance and sponsorship enquiries, contact Faysal Chaudhry   020 3510 7110
Media and marketing enquiries, contact Rebecca Bright 0207 608 9056
Judging and event management, contact Awards Support 0207 608 9086