Ed Palmer

Doctor in Anaesthetics & Intensive Care Medicine, R enthusiast, Dad.

I am a doctor working in anaesthesia and intensive care medicine based in the UK in London. My research background is in the reuse of routinely collected longitudinal healthcare data for research. My interest is particularly where research goals may be challenging to meet under traditional frameworks because anticipated effect sizes are very small, that it is too expensive to run a classical trial, or there are concerns over equipoise. My PhD investigated the safe limits—including addressing intrinsic biases—of these resources. This ties with my clinical interest in sepsis, where my research took steps towards a better understanding “time zero” and the association between physiological trajectories and outcomes in sepsis.

I often get asked to share my slides or notes on various topics ranging from journal clubs to medical education. So I have started to collate these resources here to share more directly. This is mostly aiming to be a collection of less formal work that would not necessitate a journal submission. Topics are likely to include those that I feel would benefit from being researched more deeply, being written down, and hence being open to criticism and comment. I welcome discussion of any of the ideas published here.

As a past fellow of the Software Sustainability Institute, I am a strong proponent of open data, reproducible research and free1 and open software. When I am not tinkering with ventilators or R, I try to spend as much time as possible with my wonderful partner and children.

Education

  • FFICM. Fellow of The Faculty of Intensive Care Medicine, 2024
    The Royal College of Anaesthetists, UK

  • Ph.D. in Intensive Care Medicine & Health Informatics, 2020
    University College London, UK

  • FRCA. Fellow of the Royal College of Anaesthetists, 2016
    The Royal College of Anaesthetists, UK

  • MBBS. Medicine, 2011
    King’s College London, UK

  • B.Sc. Imaging Sciences, 2008
    King’s College London, UK

Interests

  • Research methods
  • Trials in Intensive Care Medicine
  • Statistical literacy in medicine
  • Running

Footnotes

  1. Free as in freedom.↩︎