Personal details
- Name
- Professor Kirsten Vallmuur
- Position(s)
- Professor & Chair of Trauma Surveillance and Data Analytics
Faculty of Health,
School - Public Health and Social Work - IHBI Membership
Institute of Health Biomedical Innovation (IHBI),
IHBI Health Projects,
IHBI Public Health and Social Work - IPTM - Discipline *
- Public Health and Health Services, Library and Information Studies, Other Medical and Health Sciences
- Phone
- +61 7 3138 9753
- k.vallmuur@qut.edu.au
- Location
- View location details (QUT staff and student access only)
- Identifiers and profiles
-
- Qualifications
-
PhD (Queensland University of Technology)
- Keywords
-
data quality, health information system, injury surveillance, trauma, data linkage, epidemiology, health classification, injury prevention
Biography
Professor Kirsten Vallmuur is the Chair of Trauma Surveillance and Data Analytics (funded by the Motor Accident Insurance Commission) in a joint position between the Australian Centre for Health Services Innovation (http://www.aushsi.org.au) and the Jamieson Trauma Institute (https://metronorth.health.qld.gov.au/jamieson-trauma-institute). She leads the Jamieson Trauma Institute’s Trauma Data Quality and Analytics theme. Her team is currently undertaking research projects drawing on linked trauma data, available through existing data systems in Queensland. The work of the unit is focused on scoping the breadth and depth of data collected on trauma across the continuum of care, developing best practice methods and tools for using linked trauma data, and analysing these data to better understand the causes, trends, patterns, burden, costs and outcomes of trauma in Queensland. This work is contributing to the broader Queensland Statewide Trauma Data Warehouse development project being run by Queensland Health. 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.
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.
Publications
- Vallmuur K, Watson A, (2016) Evaluating the specificity of community injury hospitalization data over time, Safety
- Vallmuur K, Eley R, Watson A, (2016) Falls from ladders in Australia: comparing occupational and non-occupational injuries across age groups, Australian and New Zealand Journal of Public Health p559-563
- Vallmuur K, Marucci-Wellman H, Taylor J, Lehto M, Corns H, Smith G, (2016) Harnessing information from injury narratives in the 'big data' era: understanding and applying machine learning for injury surveillance, Injury Prevention pi34-i42
- Vallmuur K, Barker R, (2016) Infant product-related injuries: comparing specialised injury surveillance and routine emergency department data, Australian and New Zealand Journal of Public Health p37-42
- Catchpoole J, Walker S, Vallmuur K, (2016) The extent of consumer product involvement in paediatric injuries, International Journal of Environmental Research and Public Health p1-9
- Hides L, Limbong J, Vallmuur K, Barker R, Daglish M, Young R, (2015) Alcohol-related emergency department injury presentations in Queensland adolescents and young adults over a 13-year period, Drug and Alcohol Review p177-184
- Hasanain R, Vallmuur K, Clark M, (2015) Electronic medical record systems in Saudi Arabia: Knowledge and preferences of healthcare professionals, Journal of Health Informatics in Developing Countries p23-31
- Watson A, Watson B, Vallmuur K, (2015) Estimating under-reporting of road crash injuries to police using multiple linked data collections, Accident Analysis and Prevention p18-25
- Chen L, Vallmuur K, Nayak R, (2015) Injury narrative text classification using factorization model, BMC Medical Informatics and Decision Making p1-12
- Vallmuur K, (2015) Machine learning approaches to analysing textual injury surveillance data: A systematic review, Accident Analysis and Prevention p41-49
For more publications by this staff member, visit QUT ePrints, the University's research repository.
Research projects
Grants and projects (Category 1: Australian Competitive Grants only)
- Title
- Emergency Health Services: Demand and Service Delivery Models
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- LP0882650
- Start year
- 2008
- Keywords
- Emergency Medicine; Ambulance; Prehospital Care; Emergency Medical Systems; Emergency Services
- Title
- Improving the Measurement and Surveillance of Child Abuse in Queensland
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- LP0882093
- Start year
- 2008
- Keywords
- Population Health; Health Classifications; Child Abuse and Neglect; Data Linkage; Child Protection
- Title
- Developing and Enhancing the Quality of National Injury-Related Hospital Morbidity Data
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- LP0454849
- Start year
- 2005
- Keywords
- Morbidity statistics; Health classifications; Injury prevention;