Mr Rudolf Schnetler
Senior Principal AI Software Engineer
School of Information Technology and Electrical Engineering
Publications
Journal Articles
van der Vegt, Anton H, Campbell, Victoria, Mitchell, Imogen, Redfern, Oliver C, Subbe, Christian, Conway, Roger, Flabouris, Arthas, Blythe, Robin, Schnetler, Rudolf, Perkins, Christopher, MHServMgt, Naitik Mehta and Scott, Ian A (2026). Using workload capacity indicators to evaluate rule-based early warning tools and their relationship to escalation events. DIGITAL HEALTH, 12 20552076251404509, 20552076251404509-12. doi: 10.1177/20552076251404509
van der Vegt, Anton H, Campbell, Victoria K, Webb, Robert, Venkatesh, Balasubramanian, Lane, Paul J, Wilks, Kathryn, McPhail, Steven, Rice, Michael, Isaacs, Tara, Abdel-Hafez, Ahmad, Whebell, Stephen, Irwin, Adam, Schnetler, Rudolf J, Shetty, Amith and Scott, Ian A (2025). A novel, standardised approach to balancing effectiveness, efficiency and utility of surveillance AI prediction models for hospitalised patients using sepsis prediction as an exemplar. Journal of the American Medical Informatics Association : JAMIA, 33 (2) ocaf192, 304-315. doi: 10.1093/jamia/ocaf192
Schnetler, Rudolf J., Vangaveti, Venkat N., Crowley, Benjamin J., Keogh, Joshua K., Harris, Trudie, Parker, Dale, Watson, Jane, Edwards, Teresa, Westwood, Peter, Birden, Hudson, Daly, Marina, Keyes, Kieran, Biros, Erik and Mallett, Andrew J. (2025). Development and implementation of digital solutions in healthcare: insights from the Australian tertiary hospital landscape. Frontiers in Digital Health, 7 1543225, 1543225. doi: 10.3389/fdgth.2025.1543225
Schnetler, Rudolf, van der Vegt, Anton, Kalke, Vikrant R., Lane, Paul and Scott, Ian (2025). False hope of a single generalisable AI sepsis prediction model: bias and proposed mitigation strategies for improving performance based on a retrospective multisite cohort study. BMJ Quality and Safety, 34 (9), 580-589. doi: 10.1136/bmjqs-2024-018328
van der Vegt, Anton H., Scott, Ian A., Dermawan, Krishna, Schnetler, Rudolf J., Kalke, Vikrant R. and Lane, Paul J. (2023). Implementation frameworks for end-to-end clinical AI: derivation of the SALIENT framework. Journal of the American Medical Informatics Association, 30 (9), 1503-1515. doi: 10.1093/jamia/ocad088
van der Vegt, Anton H., Scott, Ian A., Dermawan, Krishna, Schnetler, Rudolf J., Kalke, Vikrant R. and Lane, Paul J. (2023). Deployment of machine learning algorithms to predict sepsis: systematic review and application of the SALIENT clinical AI implementation framework. Journal of the American Medical Informatics Association, 30 (7), 1349-1361. doi: 10.1093/jamia/ocad075