Case study:
Predictive UTI screening for spinal injury patients
Australian Institute for Microbiology and Infection
Key activities: Stakeholder and patient journey mapping. Ethics approvals and field research at Prince of Wales Hospital, NSW. Identifying workflow and regulatory challenges. Designing a decision support interface for clinicians.
Innovation: UTS Rapido worked with AIMI researchers, clinicians, and the UTS Research Office to explore how a machine learning method could support early and accurate UTI diagnosis. Our team led the UX research and co-design phase, mapping the patient journey and clinical workflows to inform product development. Outcome: We defined requirements for a real-time pathogen reporting system and identified a priority phase for pilot deployment. Need: Patients with spinal cord injuries who rely on catheters are highly susceptible to urinary tract infections (UTIs). Diagnosing these infections is complex, as clinicians must differentiate between symptomatic and asymptomatic cases. Incorrect diagnosis can lead to unnecessary antibiotic use, which contributes to resistance and worsens patient outcomes. Co-designing a predictive UTI screening solution to reduce antimicrobial resistance
UX Research: Sample user journey map
Funding: UTS Grant, Lead CI: Prof. Diane McDougald
Case study: Coral research bath for reef restoration
Developing a modular phenotyping system to accelerate coral resilience research Need: To address the impact of climate change on coral reefs, a compact coral bath device was needed to support high throughput thermal testing to assess coral resilience under thermal stress. Innovation: Modular, 16 coral bath system that is the next generation of phenotyping equipment, linked to fluorometry and oxygen measurement capability, to help test and characterise thermal resilience of different coral species.
Outcome: Transformative capability for UTS and the Future Reefs team for high throughput coral experimentation with refined control on key abiotic parameters such as temperature and nutrients. The system is now being used to support reef restoration research and has potential for broader global deployment.
Key activities:
Co-design and prototyping with researchers. Engineering transportable, multi-taxa system. Integrating sensors and software for field use. Testing and iteration for remote deployment.
Funding: UTS Grant, Lead CI: Dr Emma Camp
The Future Reefs team continues to adopt advanced technologies to better preserve and rebuild healthy reefs. This new system will transform our team’s capability to do high-throughput coral experimentation with refined control on key abiotic parameters such as temperature and nutrients.
Dr Emma Camp, Team Leader, Future Reefs Program
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