• Consultant and Honorary Senior Lecturer, University College London Hospitals NHS Foundation Trust
  • Completed her doctorate in 2014, with her thesis being on risk in major surgery
  • Fellowship project will involve the development of novel, contextual approaches to using quality data for improvement in perioperative care
  • 2014 Improvement Science fellow

Ramani Moonesinghe graduated from University College London Medical School in 1997 and undertook postgraduate training in medicine, anaesthesia and critical care. In 2010 she was appointed Consultant and Honorary Senior Lecturer in Anaesthetics and Critical Care Medicine at University College London Hospitals NHS Foundation Trust. She is Deputy Director of the Health Services Research Centre based at the Royal College of Anaesthetists.

She completed her doctorate in 2014. Her thesis was on risk in major surgery: ‘I undertook a systematic review of risk stratification tools for predicting outcome in major non-cardiac surgery. This review revealed the need for a simple preoperative risk stratification tool to enable clinicians to accurately stratify perioperative risk and thus appropriately plan perioperative care.’ Ramani then worked with NCEPOD (National Confidential Enquiry into Patient Outcome and Death) to develop and validate a risk prediction tool for major surgery.

She has also completed research on postoperative outcome measures, including patient reported outcomes, and on the relationship between adverse postoperative outcome and longer-term survival. 

Ramani's project

For the Improvement Science Fellowship, Ramani will carry out a project around developing novel, contextual approaches to using quality data for improvement in perioperative care:

‘National survey results suggest there is a gap between quality data measurement and the use of such data for improvement. My research study will use a multi-disciplinary mixed-methods approach to develop and test two interventions, and compare their feasibility, acceptability and effectiveness.’

During the project, she will combine traditional evaluative methods with novel qualitative methodology.