Daniel Capurro
MD · PhD · FRACP · FAMIA · FACMI · FAIDH
Full Professor, School of Computing and Information Systems
University of Melbourne · 700 Swanston Street
My research sits at the intersection of clinical informatics, machine learning, and health services — turning the data hospitals already collect into tools that make care safer and health systems easier to run.
Recent work spans clinical decision support system implementation and evaluation, real-time monitoring of ICU and emergency department strain, natural language processing and large language models for clinical risk prediction, and simulation and data assimilation for emergency department disaster response.
I also study the data itself — whether electronic health records are fit for purpose for tasks like automated antimicrobial prescribing audits and infection surveillance, and how to detect and mitigate digital overdiagnosis introduced by clinical software. At the University of Melbourne, I supervise a group of graduate students and research staff working across these themes.
Research focus
Decision support
Getting evidence to the bedside
Designing, implementing, and evaluating computerised decision support and digital coordination systems in hospital settings.
Data & language
Reading the record
Assessing electronic health record data quality and using NLP and large language models to extract risk signals from clinical text.
System monitoring
Watching the system strain
Real-time measurement of ICU and ED strain, disaster-response simulation, and detecting digital overdiagnosis.