Have you or your team used data to make significant positive changes to the identification and/or management of people living with diabetes through service redesigns, clinical prioritisation of patients or a shift or change in resources?
The backlog of care in resource stretched healthcare systems requires innovative approaches to aid clinical prioritisation. Informatics tools, machine led learning or Artificial Intelligence (AI) may assist to identify and prioritise people with diabetes who are likely to deteriorate whilst awaiting an appointment to optimise clinical outcomes and resources.
This category recognises initiatives that have used data /health informatics that can enhance diabetes care and improve operational efficiency. Examples of data and information that is freely available to the NHS such as electronic health records, NDA, QOF, HES, DOVE or data and/or analysis can be provided by 3rd parties. You may have used 1 or multiple data sources or combined your data to support prioritisation of patients. The key with this category is the data led decision that took place must have led to a change in service, resource, investment that is of the benefit to patient care.
| 2025 Essential Judging Criteria and Points The judges will be focusing on the following areas when scoring your entry. Write your entry accordingly | Score | Maximum number of words |
|---|---|---|
| Summary: Provide background & brief overview of the initiative | NA | 100 |
| Innovation/Novel approach to an existing problem:
| 25 | 500 |
| Equality, Diversity and Variation: Describe how you have identified and successfully addressed issues related to equality and diversity. How have your interventions led to a reduction in variation focusing on: access, need, appropriateness, and outcomes/experience | 10 | 500 |
| Impact to Patient Care Provide detail on how your project impacted on patient care | 25 | 600 |
Results: Provide a minimum of six months of results and illustrate how you measured your success vs objectives along with:
| 25 | 600 |
| User feedback: Evidence of support from a range of interested stakeholders, e.g. healthcare professionals and/or service users. Please include statements. Describe how feedback was collected and bias was minimised. Provide examples of service user feedback and explain how this is used to drive further improvement | 20 | 500 |
