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10am - 1:30pm AEDT

12pm - 3:30pm NZDT

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Conference Day 1
8 February 2022
09:55

Chair’s Opening Remarks

Speaking:

Chair’s Opening Remarks

May 18 | 09:55 - 10:00

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Speaking:

09:55

Welcome from Siobhan Hady, Conference Director, Corinium

Welcome from Siobhan Hady, Conference Director, Corinium

May 20 | 09:55 - 10:00

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Speaking:

10:00

Discussion Panel: Should we be changing the way we do our diagnoses and basing it on data?

  • Determining the right outcomes for each diagnosis when you consider the co-morbidities of a patient
  • How can doctors get access to the research outcomes of academic and pharmaceutical companies?
  • How can we use data and analytics to support translation medicine?

Discussion Panel: Should we be changing the way we do our diagnoses and basing it on data?

May 18 | 10:00 - 10:40

  • Determining the right outcomes for each diagnosis when you consider the co-morbidities of a patient
  • How can doctors get access to the research outcomes of academic and pharmaceutical companies?
  • How can we use data and analytics to support translation medicine?
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Speaking:

10:40

Thought Leadership session: Using data analytics to create actionable insights and improve patient outcomes

  • Creating the analytics doctors need to do their research
  • Improving Data Literacy – our practice
  • Supporting clinicians to make better decision about a patient’s car
  • Using your networks and identifying ways of supporting clinicians

 

 

Thought Leadership session: Using data analytics to create actionable insights and improve patient outcomes

May 18 | 10:40 - 11:05

  • Creating the analytics doctors need to do their research
  • Improving Data Literacy – our practice
  • Supporting clinicians to make better decision about a patient’s car
  • Using your networks and identifying ways of supporting clinicians

 

 

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Speaking:

11:05

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, 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 | 11:05 - 11:45

  • 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
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Speaking:

11:45

Keynote address: Handling COVID preparedness while delivering a more an affordable healthcare environment

  • 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: Handling COVID preparedness while delivering a more an affordable healthcare environment

May 18 | 11:45 - 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? 
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Speaking:

12:10

Thought Leadership session: Predictive Analytics – operationalsing the right method

  • Getting into the historical data - Understanding what happens over a five-year period
  • Understanding what the future looks like with data variables
  • Understanding your missing data and quickly identifying exiting errors
  • Assessing where you are end to end

Speaking:

Thought Leadership session: Predictive Analytics – operationalsing the right method

May 18 | 12:10 - 12:35

  • Getting into the historical data - Understanding what happens over a five-year period
  • Understanding what the future looks like with data variables
  • Understanding your missing data and quickly identifying exiting errors
  • Assessing where you are end to end
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Speaking:

12:35

Preparing for enterprise systems transformation in health care – A Data Migration primer

  • Overview of key activities within a migration workstream
  • Four different migration patterns – which one are you?
  • Effective migration governance, how to run it, who should be there?
  • Key team roles and responsibilities
  • What does a good plan look like?
  • Where to start?

Speaking:

Ali Khan

Data and Analytics Director Health Information and Technology, Auckland District Health Board

Preparing for enterprise systems transformation in health care – A Data Migration primer

May 18 | 12:35 - 13:00

  • Overview of key activities within a migration workstream
  • Four different migration patterns – which one are you?
  • Effective migration governance, how to run it, who should be there?
  • Key team roles and responsibilities
  • What does a good plan look like?
  • Where to start?
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Speaking:

1:00

Case study: How the Victorian Ambulance service is using AI and ML to improve patient outcomes

  • Impact COVID had on reporting – financial, quality, demand and supply
  • Turning complex reporting into a simple view of what’s happening on the ground Impact on staff
  • How we built a new daily report applying user experience to gain executives’ trust

Speaking:

Lauren Beard

Analytics Development Manager, Insights Centre, Ambulance Victoria

Case study: How the Victorian Ambulance service is using AI and ML to improve patient outcomes

May 18 | 13:00 - 13:25

  • Impact COVID had on reporting – financial, quality, demand and supply
  • Turning complex reporting into a simple view of what’s happening on the ground Impact on staff
  • How we built a new daily report applying user experience to gain executives’ trust
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Speaking:

1:25

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 | 13:25 - 13:50

  • 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
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Speaking:

1:50

Case Study: Collaborative innovation in health data science

Speaking:

Case Study: Collaborative innovation in health data science

May 18 | 13:50 - 14:15

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Speaking:

2:15

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

December 1 | 14:15 - 14:40

  • 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:

2:40

End of Day One - Data & Analytics in Healthcare

End of Day One - Data & Analytics in Healthcare

December 1 | 14:40

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Speaking:

Conference Day 2
9 February 2022
09:55

Welcome from Corinium

Welcome from Corinium

December 1 | 09:55 - 10:00

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Speaking:

10:00

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:

Janice Carey

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

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

May 18 | 10:00 - 10:40

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?
Claim your free place

Speaking:

10:40

Thought Leadership Session: Using analytics to create a personalised patient journey

  • Fully measuring hospital performance metrics including: Length of stay, Surgery performance, Overdue elective surgeries, cost of elective surgery, hospital acquired illnesses and transfer of care
  • Embarking on a journey of health analytics - making use of the data that you have
  • Voice to text analytics to provide next best action
  • Having data in the right place and focusing on insights that could provide growth
  • Investigating what kind of data they need to acquire and making sure it’s available in the platform
  • Managing a stream of work that drives performance insights
  • Using predictive models - value of the customer and churn

Speaking:

Thought Leadership Session: Using analytics to create a personalised patient journey

May 18 | 10:40 - 11:05

  • Fully measuring hospital performance metrics including: Length of stay, Surgery performance, Overdue elective surgeries, cost of elective surgery, hospital acquired illnesses and transfer of care
  • Embarking on a journey of health analytics - making use of the data that you have
  • Voice to text analytics to provide next best action
  • Having data in the right place and focusing on insights that could provide growth
  • Investigating what kind of data they need to acquire and making sure it’s available in the platform
  • Managing a stream of work that drives performance insights
  • Using predictive models - value of the customer and churn
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Speaking:

11:05

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

Clinical Informatics Director, Cabrini

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

May 19 | 11:05 - 11:30

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
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Speaking:

11:30

Thought Leadership session: 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

Thought Leadership session: Case study: Developing predictive analysis with data from multiple sources

May 19 | 11:30 - 11:55

  • 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
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Speaking:

11:55

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 | 11:55 - 12:20

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.

 

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Speaking:

12:20

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 | 12:20 - 12:45

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
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Speaking:

12:45

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 | 12:45 - 13:10

 

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Speaking:

1:10

Panel Discussion: Bridging the Data Talent Gap - How Healthcare organisations recruit, develop and retain top talent

Building a high performing data team is no small task. Finding and growing talent, determining the job functions needed to deliver on projects and creating a cohesive high-performing team requires enormous effort and skill. This session will guide you on how to overcome your hurdles in developing your Data Science team as the keystone of strategic data-led initiatives.

  • Strategies to empower, firmly ground and connect your team to the value they’re driving.
  • How to get the right structures in place and then build the people around that
  • Talent strategy - Identifying talent and growing your team, plus tips on combatting high attrition rates common in analytics. 
  • Does your analytics team need a healthcare background?

Speaking:

Yolanda Leddy

Head of Claims Analysis & Insights, Health Care Management, Bupa

Panel Discussion: Bridging the Data Talent Gap - How Healthcare organisations recruit, develop and retain top talent

May 19 | 13:10 - 13:50

Building a high performing data team is no small task. Finding and growing talent, determining the job functions needed to deliver on projects and creating a cohesive high-performing team requires enormous effort and skill. This session will guide you on how to overcome your hurdles in developing your Data Science team as the keystone of strategic data-led initiatives.

  • Strategies to empower, firmly ground and connect your team to the value they’re driving.
  • How to get the right structures in place and then build the people around that
  • Talent strategy - Identifying talent and growing your team, plus tips on combatting high attrition rates common in analytics. 
  • Does your analytics team need a healthcare background?
Claim your free place

Speaking:

1:50

Close of Data and Analytics in Healthcare Online 2022

Close of Data and Analytics in Healthcare Online 2022

May 20 | 13:50

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Speaking: