The aim of this Faraday research project was to understand and improve the clinical decision-making process with respect to prosthetic surgery. Historical data on decisions and outcomes were distilled and patterns identified, enabling the information to be formulated for clinical use. Ultimately the aim is to develop generic and applicable decision-support methodologies for clinicians.

Project staff and support

Jonathan Cumming (Postgraduate Faraday Associate, University of Durham)
David Wooff (Academic supervisor, University of Durham)
John Egan (Industrial supervisor, E-Tech)
Tim Boxer (Technology Translator, Smith Institute)

Research for this project was carried out in the Department of Mathematical Sciences, University of Durham, in collaboration with E-Tech Ltd. It was supported by an EPSRC industrial CASE award, made available through the Faraday Partnership for Industrial Mathematics. Jonathan Cumming is now working as a postdoctoral researcher at Durham as part of a project on the management of uncertainty in complex models.