Associate Professor Kirsten Vallmuur is a Principal Research Fellow supported by a Motor Accident Insurance Commission funded research fellowship within the Australian Centre for Health Services Innovation (http://www.aushsi.org.au) and is a team member of the Jamieson Trauma Institute (https://metronorth.health.qld.gov.au/jamieson-trauma-institute).  She is currently working on the Queensland Statewide Trauma Data Warehouse development project in collaboration with Queensland Health and the Motor Accident Insurance Commission. She is a previous Australian Research Council Future Fellow where she worked in the Centre for Accident Research and Road Safety. She has expertise in the analysis and understanding of morbidity and mortality coded data sets, injury surveillance systems, trauma data linkage, health classifications and injury classifications. She has conducted numerous collaborative health data research projects with internal and external university based researchers, government and non-government agencies in the following areas:

• Consumer product safety injury surveillance
• External cause of injury classifications
• Injury surveillance using emergency department hospital and mortality data
• Morbidity and mortality data quality
• Child abuse documentation coding and reporting
• Identification of occupational injury in health databases
• Identification of alcohol-related injury in health databases.

Associate Professor Vallmuur is a member of the International Collaborative Effort for Injury Statistics executive steering group, the Injury Prevention journal editorial board, the World Health Organisation ICD-11 Revision Topic Advisory Group for Injury and External causes, and the National Injury Surveillance Unit Advisory Group. She has a PhD in Psychology and has training in data linkage, injury epidemiology, structural equation modelling, text mining, and other quantitative and qualitative analytic techniques.

Research interests

• Consumer product safety
• Morbidity and mortality data quality
• Injury surveillance systems
• Trauma data linkage
• Health classifications
• Injury classifications.