Prof Tom Lawton, Bradford Teaching Hospitals NHS Foundation Trust &
Bradford Institute for Health Research

Abstract: In our roles as clinicians, health care professionals, and researchers, we are constantly striving to improve the care we provide to patients. A key part of this is collecting and analysing data to answer a specific question. However, we often assume that routinely collected data is just a less-clean version of research data. This can lead to mistakes in data analysis and interpretation. The presentation will discuss the potential pitfalls of this assumption and some potential strategies to assess data prior to making any conclusions.

Bio: Tom is a consultant in Critical Care and Anaesthetics at Bradford Teaching Hospitals NHS Trust, Head of Clinical Analytics for the Improvement Academy, and Honorary Visiting Professor of Computer Science at the University of York. Tom is a former computer programmer who studied Medicine and Philosophy at Clare College, Cambridge and Green College, Oxford before coming to Yorkshire to train in Critical Care and to undertake an MSc in Health Research at Leeds University. He still ends up programming and is keen on the open-source software movement. He is a clinical innovator and has an interest in sports physiology (specifically long-distance triathlon), Artificial Intelligence and modelling/simulation.