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Welcome to GEM. It’s Macquarie University’s design system for digital products and experiences. It’s new, it’s exciting.
Webinar: Harnessing Digital Technologies to Enhance Patient Safety
25 November, 2020
2pm - 3pm (AEDT)
When we strive for patient safety, we aim for the absence of preventable harm to a patient in the provision of care and a reduction in the risk of unnecessary harm associated with healthcare. From better training to improvements in workplace culture, there are countless ways to curb harm and the risk of adverse care events, but undoubtedly one of the most promising is the increasing use of digital technologies.
This webinar will feature presentations from experts in the fields of patient safety and artificial intelligence (AI). To begin, Professor Johanna Westbrook will speak on her research on electronic medications management (eMM) systems in Australian hospitals. Specifically, she will discuss her findings from an innovative stepped-wedge trial designed to determine whether medication error rates significantly declined following implementation of an eMM system in a tertiary paediatric hospital. From there, Associate Professor Shlomo Berkovsky will discuss his work on the use of AI for categorising frail elderly patients. Frailty is a clinical state in which the ability of people to cope with everyday stressors is compromised by age-associated declines. The goal of this work is to improve decision making about treatments and procedures appropriate for each category of frail elderly patient.
The conversation will be moderated by Professor Enrico Coiera, who is the Lead Investigator for the PCHSS’s Big Data and the Quality, Effectiveness and Cost of Care research stream and the Director of the Centre for Health Informatics at the Australian Institute of Health Innovation.
This webinar will feature presentations from experts in the fields of patient safety and artificial intelligence (AI). To begin, Professor Johanna Westbrook will speak on her research on electronic medications management (eMM) systems in Australian hospitals. Specifically, she will discuss her findings from an innovative stepped-wedge trial designed to determine whether medication error rates significantly declined following implementation of an eMM system in a tertiary paediatric hospital. From there, Associate Professor Shlomo Berkovsky will discuss his work on the use of AI for categorising frail elderly patients. Frailty is a clinical state in which the ability of people to cope with everyday stressors is compromised by age-associated declines. The goal of this work is to improve decision making about treatments and procedures appropriate for each category of frail elderly patient.
The conversation will be moderated by Professor Enrico Coiera, who is the Lead Investigator for the PCHSS’s Big Data and the Quality, Effectiveness and Cost of Care research stream and the Director of the Centre for Health Informatics at the Australian Institute of Health Innovation.