- Being run by Aneurin Bevan University Health Board in partnership with Cardiff University.
- Aiming to understand and demonstrate ways to overcome barriers to the adoption of modelling and analytical techniques in health care.
- Developing and evaluating the impact of a training programme for frontline staff in data analysis and mathematical modelling techniques.
- Will run from October 2018 to January 2020.
Despite compelling evidence demonstrating the benefits of mathematical modelling and applied analytics for complex decision making in industry, their widespread adoption in health care lags behind other industries.
Health care planning continues to rely on techniques that often lack analytical rigour and result in incorrect conclusions, ultimately impacting upon patient outcomes and reducing the overall efficiency.
This project, run by Aneurin Bevan University Health Board, will seek to understand this issue and demonstrate ways to overcome barriers to the adoption of modelling and analytical techniques in health care. The Aneurin Bevan Continuous Improvement (ABCi) team will achieve this by building organisational capability for modelling and analytics, and evaluating its impact and spread.
The ABCi team has already spent two years testing, developing and evolving a training programme that uses innovative teaching methods and educates health care staff within the Board on the specific key concepts of modelling and analytics.
This latest project aims to further develop this programme by enhancing the course and developing additional content, specifically to support the use of data analysis and mathematical modelling by frontline staff.
A key element is that the training programme will be rigorously evaluated in order find evidence of behaviour change and demonstrate its impact on operational efficiency and patient outcomes. Learning from the project will be widely disseminated and used to continually develop the programme and offer its methodology to other health care organisations.
For more information about this project, please contact Izabela Spernaes, Mathematical modelling lead, ABCi.
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