Advancing Community Health
Through use of advanced data analytics, proven new technologies and AI, we believe actionable insights can be extracted from vast healthcare datasets. This will all help to identify high-risk scenarios, predict potential outbreaks and develop interventions for maximum efficacy. Post hospital discharge, our focus extends to personalised monitoring for high-risk patients, reducing infections and overall hospitalisations. By ensuring transparency, we believe in empowering patients and incentivising healthcare providers to uphold the highest standards of infection control.
Continuous Measurement, Monitoring, and Reporting
Employing cutting-edge technology, we ensure the continuous surveillance and reporting of Healthcare Associated Infections (HAIs) data, enabling proactive interventions and improving patient outcomes.
Data Mining/Use of AI and Local Research
Utilising data mining and Artificial Intelligence we can undertake research into individual risk factors for HAIs in Australia. Helping the healthcare system to implement the most targeted preventative measures available.
Promoting Evidence- Based Best Practices
Our research will include the analysis of evidence-based best practices and the use of proven technologies. Aiming to significantly reduce both the risk and incidence of HAIs, fostering a safer healthcare environment for all.
AI-Assisted Surveillance for Specialists
Through effective use of Artificial intelligence there is an ability to help streamline the surveillance processes. Allowing more time for Infectious Disease specialists to be focused on crucial interventions. Helping ensure we have the most efficient and well informed clinicians, leading to more educated patients and improved patient care.
Risk Profiling of Patients Undergoing Elective Procedures
The use of data analytics to undertake risk profiling of patients undergoing elective procedures. Research into potential use of monitoring technologies for earlier intervention when inflammation/infections do occur. Early intervention can help minimise the risk of serious illness and death from HAIs.
Identifying Best Practice Institutions
Our research will involve an in-depth understanding of the patient and environmental data within healthcare institutions. Collaborating with other research organisations to better understand HAI transmission pathways and strategies to help mitigate the associated risks.
Performance-Based Standards & Healthcare Delivery
Utilising existing and new research data we will advocate for performance-based standards specific to HAI risk mitigation. The key success driver for our research will always be the improved health and wellbeing of patients.
Ready To Commence – Following Committed Project Funding.
Predicting HAI incidence by integrating various healthcare databases in a unified and structured way to ultimately help improve HAI prevention and management strategies. Including utilization of Black Box Operating Room data collection technology. (12- 18 Months – intensive research)
Use predictive analytics to fast-track diagnosis/optimal treatment of HAIs. Patient data provided via a wearable including spectroscopy/sequencing data to help identify pre-op clinically significant pathogens and their antibiotic sensitivities. (3+1 Year research project)
AI enabled Preoperative Optimization and Complication Prevention to help better manage the elective surgery waiting lists – by managing the patients and their preoperative condition and their individual complication risk factors. (3+1 Year research project)
Utilising AI and NLP to reduce HAIs. The improved monitoring of post-diagnostic outcomes and reduce hospital stays associated with endometriosis. 18 -24 month project.
Gut Microbiota Intervention for HAI prevention. Studying the role of Synbiotics to enhance gut health and patient immunity, will help to reduce the number of infections as well as their severity. (3+1 Year research project)
