|Research area code||(A3) Clinical medicine|
|Fellowship Inauguration Year||2016|
I am a Clinical Lecturer in Anaesthesia and Critical Care at University College London. This means that for half my time I work on the Intensive Care Unit and in the operating theatres at University College Hospital, and the other half I run a small research programme.
We use observational clinical datasets to answer questions about treatment efficacy that cannot be addressed experimentally (via randomised controlled trials). We also lead on a new collaboration between five teaching hospitals to share the electronic health records from critical care (Health Informatics Collaborative, http://www.nihr.ac.uk/about/hic.htm).
Within the arena of clinical observational research, there is little recognition of the issues of good research programming practice despite the widespread reliance on electronic data. We have started to try and generate a culture of reproducible data analysis using standardised tools. For example,within the context of one clinical trial, we converted from proprietary databases to a mixture of YAML dictionaries, validation tools coded in Python, and a locally hosted a locally hosted MySQL database. The code is available on Github, and has been shared between several internal projects.
For the Health Informatics Collaborative, we are now working with the UCL Research Software team to ensure that the principles of Sustainable Software development mean that the project can be extended, and the work shared with future collaborators.
The purpose of this application is to try and expand these approaches across several clinical academic groups within the university, and the NHS, and to initiate an ongoing collaboration with a similar group at MIT.
|Title||Start date||End date|
|Data Science for Docs||Friday, 09 June 2017|