Florence Nightingale Award for Excellence in Healthcare Data Analytics
About the award
Practitioners working in healthcare data analytics play a crucial role in delivering better outcomes for patients and the healthcare system – whether by improving waiting times and treatment or optimising care pathways.
The Florence Nightingale Award for Excellence in Healthcare Data Analytics recognises practitioners in applied healthcare data analytics who have gone the extra mile in delivering innovative improvements for the healthcare system.
It is awarded jointly by the Health Foundation and the Royal Statistical Society.
About Florence Nightingale
While known more widely for her work as a nurse, Florence Nightingale (1820–1910) was also a statistician, and the first female fellow of the Royal Statistical Society, who revolutionised nursing through her investigative statistical work and her striking use of data visualisation. In 2020 the Florence Nightingale Award for Excellence in Healthcare Data Analytics will be presented for the first time, to mark the bicentenary of Nightingale’s birth.
The aim of the award is to celebrate the work of healthcare data analysts who have informed a substantive change that improves patient care in a healthcare system in the UK.
The award recognises work carried out or completed between 3rd of December 2017 and 3rd of December 2019, either by teams or individuals.
Any kind of health and care organisation that provides, commissions, supports or delivers health services free at the point of care in primary, secondary or tertiary care, or across boundaries such as health care and social care is eligible to enter.
Nominations will need to demonstrate how the applied analysis has brought about positive change in the delivery or planning of care and substantial improvement in patient outcomes. Entrants should describe how they meet one or more of the following main criteria:
- Evidence of an ability to structure and understand the problems faced by managers, clinicians or patients
- Identification of data sources that could be used to address the problem
- The application of appropriate and robust statistical and analytical methods to analyse data
- Effective and accessible communication of findings to decision makers and leaders
- Credit will also be given for value for money or efficiency savings; for work that goes beyond normal expectations or results from outstanding individual effort; or for overcoming obstacles.
The deadline for entries is midnight of 28 February 2020.
Download the entry form (DOC) and send completed entries to Mags Wiley.