Amith Shetty

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Amith Shetty

Amith Shetty


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Amith Shetty

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Amith Shetty is an Emergency physician, Clinical Director in the Patient Experience and System Performance Support division at NSW Ministry of Health, Medical chair of NSW Emergency Care institute Research Committee. He is a clinical senior lecturer at Westmead clinical school, University of Sydney, Adjunct fellow at Centre for Health Systems and Safety Research, Macquarie University and honorary research fellow at the Westmead Institute for Medical research. Amith completed his doctorate in Sepsis screening which involved sepsis case medical reviews of around 2000 patients resulting in the development of an ED sepsis screening algorithm that’s being currently tested and implemented in NSW hospitals.  CI Shetty has led various first-time innovations in NSW health including Pathology IoT device integration and cloud analytics project, real-time risk trigger monitoring in hospitals, and Virtual home care models. Amith is passionate about driving value in healthcare through the improved use of digital insights and technology.

He has been a Medical Director of Hospital in the home service is Western Sydney and Clinical Director to eHealth NSW. He has led international evaluations on sepsis screening and his passion remains in developing augmented rather than automated clinical decision support tools for safe use in clinical practise. Most recently, he has been intricately involved in the NSW COVID predictive analytics and statewide COVID intelligence and planning committees. He is currently member of National Sepsis care standards committee, Emergency Research and epidemiology networks and the Australasian College for Emergency Medicine health system and policy groups. He continues to keep engaged in clinical activities through stints at rural Australian EDs and international charity missions.

CI Shetty leads the Sydney Multicentre Emergency department Sepsis Archive, a multicentre ED sepsis registry which has transformed from a manual audit to EMR data extract based large datasets of over half a million ED visits in Western Sydney. This dataset is being mined and investigated for development and implementation of digital screening tools, evaluation of sepsis improvement program implementation, personalizing care in sepsis through development of age-based, cohort-based specific clinical risk scoring and evaluation of sepsis clinical interventions such as intravenous antibiotics and intravenous fluids.


Clinical Analytics, Digital Health, Informatics, Telehealth


Government, Medicine


Apps & Mobile Health, Clinical Care, Data Science, Electronic Medical Records, Genomics / Biomedical Data & Bioinformatics, Population Health, Telehealth

Domains of Interest

Promoting Informed Healthcare Delivery, Safely Managing & Sharing Information, Towards Personalised Health

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