Health analytics and patient safety

Information and communication technologies play a significant role in improving the efficiency, effectiveness and safety of the health system.  As such, technologies continue to make inroads into health care at all levels, generating huge volumes of dynamic data from electronic health record systems. Health data analytics provides insights into these rich data.

The Health Analytics team aims to improve health care through data analytics. Our main focuses are:

• Developing and applying rigorous, cutting-edge research methods to evaluate the impact of eHealth interventions on patient safety and outcomes
• Utilising rich dynamic electronic health record data to improve patient care delivery
• Providing real-time information that can support decisions and deliver actionable insights

Stream team members

Associate Professor Ling Li Associate Professor	Professor Johanna Westbrook Professor and Director
Dr Md Bayzidur Rahman Senior Research Fellow	Dr Nanda Aryal Research Fellow
Ms Khalia Ackermann Research Assistant and PhD Candidate
Dr Jannah Baker Honorary Postdoctoral Fellow	Dr Alain Koyama Honorary Research Fellow
Stream coordinator: Associate Professor Ling Li Ph: 02 9850 2423

Selected stream projects

Evaluation and optimisation of risk identification tools for the early detection of sepsis in adult inpatients

Preventing patient harm in paediatric hospitals: automatic, real-time detection of adverse drug events using data from electronic clinical information systems

Preventing patient harm in hospitals: automatic real time detection of adverse drug events using datasets from electronic clinical information systems

Optimising computerised decision support to transform medication safety and reduce prescriber burden (page under construction)

Sepsis epidemiology: a nationwide longitudinal investigation