Are you committed to going the extra mile?
Do you work in a system that you want to improve?
Have you tried to improve and became frustrated by the pace of change?
This one-day programme gives a comprehensive overview of the science of improvement and provides detailed insight in to its application, including examples from right here in Salford. Taught by Lloyd Provost, an internationally renowned expert in the education and application of improvement science.
Lloyd is also one of the authors of the Improvement Guide, a world famous textbook for people working in quality improvement.
This unique opportunity will develop your knowledge of improvement science; applying improvement techniques to change the way you work and improve outcomes for patients. The day is designed primarily for Doctors with an interest or role in quality improvement, but the content will be of interest and applicable for anyone involved in improving health and care.
You will explore the history of improvement science and delve into the Theory of Profound Knowledge, including appreciation for a system, knowledge of variation, theory of knowledge and psychology. This material will be brought to life through breakout sessions, exercises and hearing case studies from the Salford Clinical Faculty. Reserve your place today!
You will learn how systems can be better understood and used to re-design healthcare, with exposure to systems thinking and associated tools. Salford Faculty will bring this theory to life with examples from using this approach in Salford.
Theory of Knowledge
You will learn about the Model for Improvement and the inductive, deductive rapid cycle testing (PDSA) as an entry to testing and delivering change, building on this theory with concepts such as collaborative ramps
You will learn the underlying theory of social change, from the individual level (personality, motivation) to whole societies (social movement and bystander effects). Practical frameworks and tools will be discussed to help understand observations
You will learn about measurement for improvement, including how it’s different to other types of measurement and how it enables us to learn from and respond to the variation which occurs within your system of interest