Privacy and trust are becoming increasingly important in the public conversation. When health outcomes are of paramount importance, and policy is moving at pace, does a citizen’s privacy become a luxury?
Speaking:
Customer Advisory Lead for Health and Life Sciences, and Government, SAS Australia & New Zealand
Former Head of Data Strategy, Chief Customer and Strategy Office, Bupa
Chief Data & Analytics Officer, WorkSafe Victoria
Head of Analytics, Waitematā District Health Board
May 18 | 10:02 - 10:35
Privacy and trust are becoming increasingly important in the public conversation. When health outcomes are of paramount importance, and policy is moving at pace, does a citizen’s privacy become a luxury?
The vision of meaningful, reproducible analytics outcomes in Healthcare can only be achieved when clinicians and users trust the data. One of the leading challenges to impactful analytics remains the state of our healthcare data: So much of it remains fragmented within silos, both technological and organisational - leading to slower analytics projects, inconsistent outcomes, as well as poor adoption.
This session will look at how different healthcare systems across ANZ and globally have established a comprehensive data management strategy in the face of familiar healthcare data challenges:
Speaking:
Health Data Strategy & Governance Specialist – APJ Region, Informatica
Chief Strategist, Healthcare and Life Sciences, Informatica
May 18 | 10:35 - 11:07
The vision of meaningful, reproducible analytics outcomes in Healthcare can only be achieved when clinicians and users trust the data. One of the leading challenges to impactful analytics remains the state of our healthcare data: So much of it remains fragmented within silos, both technological and organisational - leading to slower analytics projects, inconsistent outcomes, as well as poor adoption.
This session will look at how different healthcare systems across ANZ and globally have established a comprehensive data management strategy in the face of familiar healthcare data challenges:
Speaking:
Regional Director of Data Platforms, Australia, New Zealand and South-East Asia, InterSystems
Data Analyst, Victorian Institute of Forensic Medicine
Head of Data and Analytics Capability, Southern Cross Health Society
Data Analytics Manager, CUA Health
May 18 | 11:07 - 11:46
Speaking:
Associate Director, U.S Food and Drug Administration
May 18 | 11:47 - 12:10
Speaking:
Chief Data & Analytics Officer, WorkSafe Victoria
May 18 | 12:10 - 12:35
Speaking:
CEO, Precision Driven Health
Speaking:
Head of Analytics, Waitematā District Health Board
October 1 | 12:55 - 13:19
Cabrini has been very successful in reducing our HAC rates by providing timely, specific and actionable data to clinicians.
This session will examine:
Speaking:
Director Clinical Governance and Informatics, Cabrini
May 19 | 10:01 - 10:23
Cabrini has been very successful in reducing our HAC rates by providing timely, specific and actionable data to clinicians.
This session will examine:
We are at the very infancy of Synthetic Data at least in an Australian health setting, but it is emerging very rapidly globally. In a sentence Synthetic Data is replicating an actual dataset so that analysis is almost identical to the actual set. But no row is identifiable or directly identical to an actual record. It utilises machine learning algorithms with several open source (Synthpop) and vendor software (diveplane) solutions.
This session explores Cyber security, information security, governance and privacy – overcoming the emerging threats and is becoming a core strategy in addressing these issues. In the case study below University of Edinburgh they have an open access Synthetic set for researchers all but eliminating risks to privacy and security whilst reducing the burden on IT teams having to produce bespoke data sets for each research request.
This session will be based around the Intensive care dataset and our use of it in an open research environment.
Speaking:
Data Scientist, NSW Health Pathology
May 19 | 10:23 - 10:35
We are at the very infancy of Synthetic Data at least in an Australian health setting, but it is emerging very rapidly globally. In a sentence Synthetic Data is replicating an actual dataset so that analysis is almost identical to the actual set. But no row is identifiable or directly identical to an actual record. It utilises machine learning algorithms with several open source (Synthpop) and vendor software (diveplane) solutions.
This session explores Cyber security, information security, governance and privacy – overcoming the emerging threats and is becoming a core strategy in addressing these issues. In the case study below University of Edinburgh they have an open access Synthetic set for researchers all but eliminating risks to privacy and security whilst reducing the burden on IT teams having to produce bespoke data sets for each research request.
This session will be based around the Intensive care dataset and our use of it in an open research environment.
Speaking:
Business Engagement Leader, Mater Health
Real scenarios include:
Speaking:
Director of the Centre for Digital Transformation of Health, University of Melbourne
May 19 | 10:59 - 11:21
Real scenarios include:
Speaking:
Head of Analytics & Insights, SiSU Health
Speaking:
October 1 | 11:41 - 12:08