Automatic real time detection of adverse drug events in hospitals

Automatic real time detection of adverse drug events in hospitals

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

This project was funded by Macquarie University Research Development Grant.


Project description

Adverse drug events (ADEs) are a persistent and important problem in hospitals worldwide in terms of morbidity, mortality and cost. Early detection of ADEs enables staff to take swift actions and reduce harm to patients and associated costs. This project presents an innovative approach to shift the current focus from incident reporting and medication record audits to automatic detection of patients at risk of harm due to ADEs in real time. Utilising routinely collected data from electronic clinical information systems will revolutionise the way we detect and prevent ADEs and ultimately increase patient safety and quality of care.

Project members


Associate Professor Ling Li
Associate Professor


Professor Johanna Westbrook

Professor


Dr Kasun Rathnayake

Postdoctoral Research Fellow

Project members - external

Prof Regis Beuscar – Associate Investigator - France

A/Prof Jun Ma – Associate Investigator – Statistics Department, Macquarie University

Prof Ric Day – Associate Investigator - UNSW

Content owner: Australian Institute of Health Innovation Last updated: 23 Oct 2019 8:27am

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