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0906 DA Healthcare Logo

10am - 1:30pm AEDT

12pm - 3:30pm NZDT

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Conference Day 1
8 February 2022
10:00

Welcome from Siobhan Hady, Conference Director, Corinium

Welcome from Siobhan Hady, Conference Director, Corinium

May 20 | 10:00 - 10:00

Replay the sessions here

Speaking:

10:02

Panel Discussion: Privacy During a Pandemic - Successfully managing the challenges of patient data privacy, consent and ethics

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?

  • Has the epidemic increased the public’s fear of data misuse? Or brought to light the vital importance of data-driven decision making?
  • Open data and the ethical use of public data
  • What do organisations need to do above and beyond legal compliance? Delivering on trust to your customers
  • Why businesses need to take a holistic approach to customer privacy, ethics, compliance and digital trust
  • What the recent privacy changes from Silicon Valley tell us about the changing global data privacy landscape
  • Navigating the ethical requirements when obtaining data and using patient data
  • What are the industry concerns around data sharing and privacy?
  • Who owns the data? The patient?
  • Why you can’t use it if it’s not handled properly
  • Is there a role for privacy watchdogs?
  • Impact of GDPR - What does it mean in Australia and NZ?

Speaking:

Lily Clarke

Customer Advisory Lead for Health and Life Sciences, and Government, SAS Australia & New Zealand

Janice Carey

Former Head of Data Strategy, Chief Customer and Strategy Office, Bupa

Kathryn Gulifa

Chief Data & Analytics Officer, WorkSafe Victoria

Delwyn Armstrong

Head of Analytics, Waitematā District Health Board

Panel Discussion: Privacy During a Pandemic - Successfully managing the challenges of patient data privacy, consent and ethics

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?

  • Has the epidemic increased the public’s fear of data misuse? Or brought to light the vital importance of data-driven decision making?
  • Open data and the ethical use of public data
  • What do organisations need to do above and beyond legal compliance? Delivering on trust to your customers
  • Why businesses need to take a holistic approach to customer privacy, ethics, compliance and digital trust
  • What the recent privacy changes from Silicon Valley tell us about the changing global data privacy landscape
  • Navigating the ethical requirements when obtaining data and using patient data
  • What are the industry concerns around data sharing and privacy?
  • Who owns the data? The patient?
  • Why you can’t use it if it’s not handled properly
  • Is there a role for privacy watchdogs?
  • Impact of GDPR - What does it mean in Australia and NZ?
Replay the sessions here

Speaking:

10:35

Fireside Chat: The Value of Resolving Healthcare Data Fragmentation

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: 

  • legacy & fragmented data architectures, 
  • heterogenous (cloud and local) application environments, and
  • the constraints of ensuring data privacy & protection 
Most importantly, we share some of the measureable value and outcomes that these data management strategies have added to healthcare analytics and digital transformation initiatives.

 

 

Speaking:

Jon Teo

Health Data Strategy & Governance Specialist – APJ Region, Informatica

Richard Cramer

Chief Strategist, Healthcare and Life Sciences, Informatica

Fireside Chat: The Value of Resolving Healthcare Data Fragmentation

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: 

  • legacy & fragmented data architectures, 
  • heterogenous (cloud and local) application environments, and
  • the constraints of ensuring data privacy & protection 
Most importantly, we share some of the measureable value and outcomes that these data management strategies have added to healthcare analytics and digital transformation initiatives.

 

 

Replay the sessions here

Speaking:

11:07

Panel discussion: Building Data Literacy and Self-service into your organisation

  • Enabling your organisation to make predictions based on data
  • How to ensure organisational readiness and data literacy for decision making, data analysis and communication of data
  • Optimising what data is available to your business units and ensuring it can be interpreted reliably
  • What does success with data literacy across the organisation look like and how can it be achieved?
  • How do you know you trust the data you have been given?
  • Integrated data & analytics, and data integration across silos
  • Ensuring your governance and data literacy fundamentals are in place

Speaking:

Andrew Aho

Regional Director of Data Platforms, Australia, New Zealand and South-East Asia, InterSystems

Rasika Amarasiri

Data Analyst, Victorian Institute of Forensic Medicine

Anna Tarasoff

Head of Data and Analytics Capability, Southern Cross Health Society

Cassidy Kruger

Data Analytics Manager, CUA Health

Panel discussion: Building Data Literacy and Self-service into your organisation

May 18 | 11:07 - 11:46

  • Enabling your organisation to make predictions based on data
  • How to ensure organisational readiness and data literacy for decision making, data analysis and communication of data
  • Optimising what data is available to your business units and ensuring it can be interpreted reliably
  • What does success with data literacy across the organisation look like and how can it be achieved?
  • How do you know you trust the data you have been given?
  • Integrated data & analytics, and data integration across silos
  • Ensuring your governance and data literacy fundamentals are in place
Replay the sessions here

Speaking:

11:47

Keynote address: Don’t start with technology, start with a problem

  • The role of modelling and analytics in the COVID response directly 
  • The role of modelling and analytics in the recovery-related activities 
  • The need to transform healthcare through digital for a sustainable future  
  • Using the power of information to adapt from treating people with single episodic-based care to a continuum of care (that is not just based on acute hospitals) 
  • How investment in safety and quality results in better care for patients 
  • How population data was linked greater healthcare data  
  • Analysis of genomics and social care data  
  • Long term outcomes of the project - where do we go from here? 

Speaking:

Dr Robert Whetsel

Associate Director, U.S Food and Drug Administration

Keynote address: Don’t start with technology, start with a problem

May 18 | 11:47 - 12:10

  • The role of modelling and analytics in the COVID response directly 
  • The role of modelling and analytics in the recovery-related activities 
  • The need to transform healthcare through digital for a sustainable future  
  • Using the power of information to adapt from treating people with single episodic-based care to a continuum of care (that is not just based on acute hospitals) 
  • How investment in safety and quality results in better care for patients 
  • How population data was linked greater healthcare data  
  • Analysis of genomics and social care data  
  • Long term outcomes of the project - where do we go from here? 
Replay the sessions here

Speaking:

12:10

Case Study: Digital Transformation and Enabling Digitisation Processes at Worksafe Victoria

  • Strategies for getting value out of different data sources
  • What we are seeing in the post-pandemic world in terms of return to work outcomes
  • Creating optimal treatment pathways to returns workers to work
  • Putting in place Self-serve and creating guidance that harnesses human capacity
  • Investigating the technologies that can streamline the process

Speaking:

Kathryn Gulifa

Chief Data & Analytics Officer, WorkSafe Victoria

Case Study: Digital Transformation and Enabling Digitisation Processes at Worksafe Victoria

May 18 | 12:10 - 12:35

  • Strategies for getting value out of different data sources
  • What we are seeing in the post-pandemic world in terms of return to work outcomes
  • Creating optimal treatment pathways to returns workers to work
  • Putting in place Self-serve and creating guidance that harnesses human capacity
  • Investigating the technologies that can streamline the process
Replay the sessions here

Speaking:

12:35

Case Study: Collaborative innovation in health data science

Speaking:

Kevin Ross

CEO, Precision Driven Health

Case Study: Collaborative innovation in health data science

May 18 | 12:35 - 12:55

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Speaking:

12:55

Case Study: Northern Region Data Platform and Integrated Qlik Sense Dashboard built for COVID response

  • The value of a dashboard/ data explorer over a comprehensive data model
  • Delivering self-service analytics for an emerging disease (including our a COVID Status Logic Algorithm)
  • The journey from an on-premise platform to a Snowflake/ Qlik Sense SaaS platform in a high change environment

Speaking:

Delwyn Armstrong

Head of Analytics, Waitematā District Health Board

Case Study: Northern Region Data Platform and Integrated Qlik Sense Dashboard built for COVID response

October 1 | 12:55 - 13:19

  • The value of a dashboard/ data explorer over a comprehensive data model
  • Delivering self-service analytics for an emerging disease (including our a COVID Status Logic Algorithm)
  • The journey from an on-premise platform to a Snowflake/ Qlik Sense SaaS platform in a high change environment
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Speaking:

1:20

End of Day One - Data & Analytics in Healthcare

End of Day One - Data & Analytics in Healthcare

October 1 | 13:20

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Speaking:

Conference Day 2
9 February 2022
10:00

Welcome from Corinium

Welcome from Corinium

October 1 | 10:00 - 10:00

Replay the sessions here

Speaking:

10:01

Case Study: Engaging specialists (particularly surgeons) in the quality assurance pathway

Cabrini has been very successful in reducing our HAC rates by providing timely, specific and actionable data to clinicians.

This session will examine:

  • How best to extract and report data that creates engagement and reflection.
  • How we have changed how we present data to further improve engagement

Speaking:

Dr David Rankin

Director Clinical Governance and Informatics, Cabrini

Case Study: Engaging specialists (particularly surgeons) in the quality assurance pathway

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:

  • How best to extract and report data that creates engagement and reflection.
  • How we have changed how we present data to further improve engagement
Replay the sessions here

Speaking:

10:23

Case Study: How Synthetic data may address privacy and research wait times - a case study of Intensive Care NSW and across NSW Health

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 securityinformation 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:

Craig Scowen

Data Scientist, NSW Health Pathology

Case Study: How Synthetic data may address privacy and research wait times - a case study of Intensive Care NSW and across NSW Health

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 securityinformation 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.

 

Replay the sessions here

Speaking:

10:35

How to build a data literacy program in your healthcare organisation

Speaking:

Rachel Fojtik

Business Engagement Leader, Mater Health

How to build a data literacy program in your healthcare organisation

May 19 | 10:35 - 10:59

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Speaking:

10:59

Case Study: How standards are needed and have supported research and practice in COVID-19

Real scenarios include:

  • Use of common data models like the OHDSI model to support merging of health datasets across the world to support research, e.g.,
    • Validating predictive models across international settings and populations
    • Identifying characteristics and outcomes of people with COVID-19
  • Use of SMART on FHIR standards to create interoperable international vaccine cards
  • How these standards can be used beyond COVID-19

Speaking:

Wendy Chapman

Director of the Centre for Digital Transformation of Health, University of Melbourne

Case Study: How standards are needed and have supported research and practice in COVID-19

May 19 | 10:59 - 11:21

Real scenarios include:

  • Use of common data models like the OHDSI model to support merging of health datasets across the world to support research, e.g.,
    • Validating predictive models across international settings and populations
    • Identifying characteristics and outcomes of people with COVID-19
  • Use of SMART on FHIR standards to create interoperable international vaccine cards
  • How these standards can be used beyond COVID-19
Replay the sessions here

Speaking:

11:21

Population Health Case Study: Canary in the Mine: A unique analysis of the impact of the COVID-19 pandemic on the Physical and Mental Health of Australians

 

Speaking:

Patrick Hannebery

Head of Analytics & Insights, SiSU Health

Population Health Case Study: Canary in the Mine: A unique analysis of the impact of the COVID-19 pandemic on the Physical and Mental Health of Australians

May 19 | 11:21 - 11:41

 

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Speaking:

11:41

Case study: Developing predictive analysis with data from multiple sources

  • Predicting a patient propensity to churn and intervening based on that
  • Harnessing the patient data that feeds that model
  • Predicting the future engagement of a member
  • Analysing geo analytics patterns and successfully integrating data from different channels

Speaking:

Case study: Developing predictive analysis with data from multiple sources

October 1 | 11:41 - 12:08

  • Predicting a patient propensity to churn and intervening based on that
  • Harnessing the patient data that feeds that model
  • Predicting the future engagement of a member
  • Analysing geo analytics patterns and successfully integrating data from different channels
Replay the sessions here

Speaking:

12:10

Close of Data and Analytics in Healthcare Online 2022

Close of Data and Analytics in Healthcare Online 2022

May 20 | 12:10

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Speaking: