Dr Julie Jones-Diette
Research Fellow (Tinnitus)
Julie has joined the Nottingham Hearing BRU as a Research Fellow in Evidence Synthesis to assist with the TINNET COST Action project which aims to develop an international standard for outcome measurements in clinical trials of tinnitus. Julie is assisting with a systematic review and Delphi survey and the information assimilated will hopefully help drive a consensus within stakeholders on the most appropriate and relevant outcome domains for tinnitus.
Julie graduated from the University of Nottingham School of Medicine and Science in July 2014 with a PhD in Evidence-based Medicine, Clinical Epidemiology and Medical Informatics. The focus of Julie’s PhD was to investigate current methods for evidence based clinical research in primary healthcare and apply these to a veterinary setting. She also developed unique methods of content analysis and text mining of the clinical narrative or free text within patients’ records to isolate essential patient data for population based clinical research. During the 3 year PhD program Julie received formal training in methods of evidence-based medicine and epidemiology including quantitative and qualitative analytical methods and training in systematic review and is a specialist in evidence synthesis and data mining.
Julie moved to the NHS in January 2015 to join the East Midlands Academic Health Science Network (EMAHSN) based at Nottingham University Hospitals NHS Trust. The responsibilities of her role included evidence synthesis and outcomes research, utilising information across all key data holders in secondary and primary care, social care and mental health to support patient care and service delivery in the NHS. She was also required to identify new and emerging tools and techniques for clinical informatics and epidemiology to extend the access and knowledge generated from this information to clinicians and patients to effect change in care patterns and pathways.
Julie is a Fellow of the Institute of Mental Health at the University of Nottingham and also holds an adjunct position with the Department of Psychiatry at the University of Cambridge where she is working on a method to extract data from the Clinical Record Interactive Search (CRIS) database of electronic patient records for thematic analysis to identify early clinical signs of Alzheimer’s dementia.