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Data & Analytics in Healthcare

4-5 March 2020
Pullman on the Park, Melbourne

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Wednesday 4th March
08:30

Registration, Coffee & Networking in the Exhibition Area

Registration, Coffee & Networking in the Exhibition Area

October 22 | 08:30 - 09:00

Speaking:

08:55

Corinium Global Intelligence Welcome Address

Corinium Global Intelligence Welcome Address

October 22 | 08:55 - 09:00

Speaking:

09:00

Chair’s Opening Remarks

Throughout the next two days, take advantage of our interactive event App. Pose questions to your speakers, take part in interactive panels, interviews and surveys, and communicate with your fellow delegates!

Chair’s Opening Remarks

October 22 | 09:00 - 09:05

Throughout the next two days, take advantage of our interactive event App. Pose questions to your speakers, take part in interactive panels, interviews and surveys, and communicate with your fellow delegates!

Speaking:

09:05

Keynote Presentation: Using analytics to improve quality and safety of health services

  • How do we best measure improvement in quality and safety?
  • Hospital acquired complications - impact on care, safety and quality
  • The power of patient reported experience and outcomes data
  • The potential and pitfalls of big data linkage to improve quality and safety

Speaking:

Lance Emerson

Dr Lance Emerson

CEO, Victorian Agency for Health Information

Keynote Presentation: Using analytics to improve quality and safety of health services

October 27 | 09:05 - 09:40

  • How do we best measure improvement in quality and safety?
  • Hospital acquired complications - impact on care, safety and quality
  • The power of patient reported experience and outcomes data
  • The potential and pitfalls of big data linkage to improve quality and safety

Speaking:

Lance Emerson

Dr Lance Emerson

Victorian Agency for Health Information

09:40

Ensuring an accurate data capture system for improved patient outcomes

  • Designing and implementing the screens that clinicians are using to record their data
  • Measuring the effectiveness of the treatments delivered
  • How well does this match with what we are doing to fix them?
  • Encouraging clinicians to input the data - Observing the clinicians not the patients
  • Moving from each hospital has its own discreet system to a state wide system

Speaking:

Rowan Thomas.jpg

Dr Rowan Thomas

Group Chief Medical Information Officer, St Vincent’s Health Australia

Ensuring an accurate data capture system for improved patient outcomes

October 22 | 09:40 - 10:05

  • Designing and implementing the screens that clinicians are using to record their data
  • Measuring the effectiveness of the treatments delivered
  • How well does this match with what we are doing to fix them?
  • Encouraging clinicians to input the data - Observing the clinicians not the patients
  • Moving from each hospital has its own discreet system to a state wide system

Speaking:

Rowan Thomas.jpg

Dr Rowan Thomas

St Vincent’s Health Australia

10:05

Keynote session presented by Qlik

Keynote session presented by Qlik

October 27 | 10:05 - 10:30

Speaking:

10:30

Mid-Morning Coffee & Networking in the Exhibition Area


Mid-Morning Coffee & Networking in the Exhibition Area

October 22 | 10:30 - 11:00


Speaking:

11:00

Using and managing first party data to understand behaviour

  • How we took our data from inconsistent and fragmented to revealing actionable insights
  • Five stages of the Single View of Customer Project
  • to Collect, Enrich, Present &amp; Act on our data in real-time
  • Ability to “Anonymous” doesn’t mean we can’t engage - how to handle anonymised data
  • 1st Party data - Stitching data across engagements
  • Dynamically engaging with a subscriber and understanding their current stage in the support cycle
  • Using patient data in an ethical way: When does personalisation become creepy?

Speaking:

Shane Riddle

Shane Riddle

Shane Riddle, Executive Head of Technology and Strategy, YMCA Victoria

Using and managing first party data to understand behaviour

October 22 | 11:00 - 11:25

  • How we took our data from inconsistent and fragmented to revealing actionable insights
  • Five stages of the Single View of Customer Project
  • to Collect, Enrich, Present &amp; Act on our data in real-time
  • Ability to “Anonymous” doesn’t mean we can’t engage - how to handle anonymised data
  • 1st Party data - Stitching data across engagements
  • Dynamically engaging with a subscriber and understanding their current stage in the support cycle
  • Using patient data in an ethical way: When does personalisation become creepy?

Speaking:

Shane Riddle

Shane Riddle

YMCA Victoria

11:25

Update from the Digital Health CRC - Digital Health data and Technology: Improving the quality of healthcare

Since mid-2018, the Digital Health CRC has been partnering with universities, industry and government to deliver

transformational outcomes through expertise in health data research and knowledge application. This session will be an update on their work to achieve the following:

  • Drivers for Digital Health: big data to smart data
  • Improving access to integrated healthcare information
  • Secure information platforms for research
  • Improving efficiency in the health system
  • Supporting clinical practice through applied research outcomes

Speaking:

Professor James Boyd

Flagship Research and Education Director, digital health CRC, and Chair of Digital Health, Public Health,, LaTrobe University

Update from the Digital Health CRC - Digital Health data and Technology: Improving the quality of healthcare

October 27 | 11:25 - 11:50

Since mid-2018, the Digital Health CRC has been partnering with universities, industry and government to deliver

transformational outcomes through expertise in health data research and knowledge application. This session will be an update on their work to achieve the following:

  • Drivers for Digital Health: big data to smart data
  • Improving access to integrated healthcare information
  • Secure information platforms for research
  • Improving efficiency in the health system
  • Supporting clinical practice through applied research outcomes

Speaking:

Professor James Boyd

LaTrobe University

11:50

Keynote Discussion Panel: Successfully managing the challenges of patient data privacy, consent and ethics

One of the largest challenges that the healthcare industry faces is the sensitivity around patient data. Getting the right processes for privacy, consent and ethics in place is an enormous challenges and one which warrants an industry wide discussion. This session will look at:

  • 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?

Speaking:

Lance Emerson

Dr Lance Emerson

CEO, Victorian Agency for Health Information

Shane Riddle

Shane Riddle

Shane Riddle, Executive Head of Technology and Strategy, YMCA Victoria

Silhouette-3-9

Shane Porter

Assistant Secretary, Data and Analytics Branch, Health Economics and Research Division, Australian Government Department of Health

Peita Bonato

Peita Bonato

Senior Director, Data Governance Hub, Future Capability & Governance, Digital Solutions Division, ACT Health Directorate

Keynote Discussion Panel: Successfully managing the challenges of patient data privacy, consent and ethics

October 22 | 11:50 - 12:25

One of the largest challenges that the healthcare industry faces is the sensitivity around patient data. Getting the right processes for privacy, consent and ethics in place is an enormous challenges and one which warrants an industry wide discussion. This session will look at:

  • 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?

Speaking:

Lance Emerson

Dr Lance Emerson

Victorian Agency for Health Information

Peita Bonato

Peita Bonato

ACT Health Directorate

Silhouette-3-9

Shane Porter

Australian Government Department of Health

Shane Riddle

Shane Riddle

YMCA Victoria

12:25

Buffet Lunch & Networking in the Exhibition Area

Buffet Lunch & Networking in the Exhibition Area

October 22 | 12:25 - 13:25

Speaking:

Track A - Case studies

1:25

Case Study: Automated AI approaches for Clinical Coding with Chiang Mai University using clinical data

  • The translation from clinical data to codes (for costing and reporting) getting more complex and currently requires highly trained experts who are in very limited supply
  • In conjunction with Chiang Mai University we used data from pathology, radiology, pharmacy and admission to predict ICD10 codes without human intervention
  • Learn how we utilised Neural Network based Artificial Intelligence approaches to predict primary diagnosis with levels of accuracy comparable to entry level coders

Speaking:

Terence Siganakis

CEO, Growing Data

Case Study: Automated AI approaches for Clinical Coding with Chiang Mai University using clinical data

October 27 | 13:25 - 13:50

  • The translation from clinical data to codes (for costing and reporting) getting more complex and currently requires highly trained experts who are in very limited supply
  • In conjunction with Chiang Mai University we used data from pathology, radiology, pharmacy and admission to predict ICD10 codes without human intervention
  • Learn how we utilised Neural Network based Artificial Intelligence approaches to predict primary diagnosis with levels of accuracy comparable to entry level coders

Speaking:

Terence Siganakis

Growing Data

Track B - Discussion Groups

1:25

Discussion Group: Improving data quality – ending the cycle of garbage in, garbage out

  • Quantifying the cost of poor data quality
  • Techniques for getting the data entered properly?
  • Ensuring the data you have represents what you want it to
  • How you can encourage clinicians to enter high quality data

Speaking:

Matt Morris

Matt Morris

Director, Information and Analytics, Barwon Health

Steven McConchie

Steven McConchie

Group Manager, Clinical Outcome and Analytics, Epworth HealthCare

David Rankin

Dr David Rankin

Clinical Informatics Director, Cabrini

Adam McGuinness

Adam McGuinness

Data Warehouse & Analytics Platform Architect, NPS MedecineWise

Discussion Group: Improving data quality – ending the cycle of garbage in, garbage out

October 23 | 13:25 - 13:50

  • Quantifying the cost of poor data quality
  • Techniques for getting the data entered properly?
  • Ensuring the data you have represents what you want it to
  • How you can encourage clinicians to enter high quality data

Speaking:

Steven McConchie

Steven McConchie

Epworth HealthCare

Matt Morris

Matt Morris

Barwon Health

David Rankin

Dr David Rankin

Cabrini

Adam McGuinness

Adam McGuinness

NPS MedecineWise

Track A - Case studies

1:50

Case study: Integrating data of disparate types to understand health needs

  • Why it’s so difficult to obtain access to, then learn from multiple data sets in healthcare
  • How to fast track data integration and model deployment
  • How to use different sources getting a single view of the patient
  • Overcoming data quality and bias issues in analytical modelling

Speaking:

Kevin Ross Orion Health

Dr Kevin Ross

CEO, Precision Driven Health

Case study: Integrating data of disparate types to understand health needs

October 22 | 13:50 - 14:15

  • Why it’s so difficult to obtain access to, then learn from multiple data sets in healthcare
  • How to fast track data integration and model deployment
  • How to use different sources getting a single view of the patient
  • Overcoming data quality and bias issues in analytical modelling

Speaking:

Kevin Ross Orion Health

Dr Kevin Ross

Precision Driven Health

Track B - Discussion Groups

1:50

Discussion Group: Keeping Patient Data Secure and Protected

Data security and compliance are essential components of data governance. They are extremely critical in healthcare, as patient information is personally sensitive, hard to replace (unlike a stolen credit card), and highly attractive to cyber-criminals. This session will examine the following points: · Do you have enough confidence and trust in the security of the systems holding your critical data? · What are the risks when sharing data to external providers? · Are you ready for tomorrow’s data protection, security and compliance challenges? · Security considerations when going to the cloud

Speaking:

Stephanie Owen

Stephanie Owen

Group Manager IT Strategy, Architecture and Analytics, St Vincent’s Health Australia

Craig Scowen

Craig Scowen

Data Scientist, NSW Health Pathology

Discussion Group: Keeping Patient Data Secure and Protected

October 22 | 13:50 - 14:15

Data security and compliance are essential components of data governance. They are extremely critical in healthcare, as patient information is personally sensitive, hard to replace (unlike a stolen credit card), and highly attractive to cyber-criminals. This session will examine the following points: · Do you have enough confidence and trust in the security of the systems holding your critical data? · What are the risks when sharing data to external providers? · Are you ready for tomorrow’s data protection, security and compliance challenges? · Security considerations when going to the cloud

Speaking:

Craig Scowen

Craig Scowen

NSW Health Pathology

Stephanie Owen

Stephanie Owen

St Vincent’s Health Australia

Track A - Case studies

2:15

Using linked administrative data to improve outcomes for vulnerable families in NSW

The NSW Government is taking an investment approach to improving outcomes for vulnerable families across NSW. Investment and policy decisions will be guided by individual-level lifetime modelling using a comprehensive linked health and human services data set. The first round of investment modelling was published in the Forecasting Future Outcomes report[1], a NSW government paper released in July 2019. This session will:

  • Present the striking key results from the modelling which projects lifetime pathways for all NSW residents currently under age 25 and includes key outcomes and interactions with government agencies across health (hospital, MBS and PBS), child protection, social housing, justice and welfare.
  • Highlights the benefits and challenges of using linked individual-level administrative data and focuses on the importance of health and mental health in determining long-term intergenerational outcomes.

Speaking:

Using linked administrative data to improve outcomes for vulnerable families in NSW

October 27 | 14:15 - 14:40

The NSW Government is taking an investment approach to improving outcomes for vulnerable families across NSW. Investment and policy decisions will be guided by individual-level lifetime modelling using a comprehensive linked health and human services data set. The first round of investment modelling was published in the Forecasting Future Outcomes report[1], a NSW government paper released in July 2019. This session will:

  • Present the striking key results from the modelling which projects lifetime pathways for all NSW residents currently under age 25 and includes key outcomes and interactions with government agencies across health (hospital, MBS and PBS), child protection, social housing, justice and welfare.
  • Highlights the benefits and challenges of using linked individual-level administrative data and focuses on the importance of health and mental health in determining long-term intergenerational outcomes.

Speaking:

Track B - Discussion Groups

2:15

Discussion group: Prioritising Data within your Organisation - Embedding a Culture of Data, Analytics and Insight Based Decision Making

  • Does the industry have a data strategy and what are they prioritising?
  • How do you prioritise data within healthcare organisations?
  • How can a data project compete with a new MRI for funding? Demonstrating the value and potential value of data
  • Tips for ensuring adequate support from senior management to invest in the required IT systems
  • Why is it important to use data for defining your strategy and prioritising initiatives

Speaking:

Keith Suckling

Keith Suckling

Market Insights Manager – Services, Cochlear

Pritesh Makhija

Pritesh Makhija

Strategy Advanced Analytics Lead, Medibank

Wendy Loomes

Wendy Loomes

Director, Information Communication and Technology, South Western Sydney Local Health District

Gordon Mckinley

Gordon Mckinley

Head of Enterprise Analytics, IS, Bupa

Discussion group: Prioritising Data within your Organisation - Embedding a Culture of Data, Analytics and Insight Based Decision Making

October 23 | 14:15 - 14:40

  • Does the industry have a data strategy and what are they prioritising?
  • How do you prioritise data within healthcare organisations?
  • How can a data project compete with a new MRI for funding? Demonstrating the value and potential value of data
  • Tips for ensuring adequate support from senior management to invest in the required IT systems
  • Why is it important to use data for defining your strategy and prioritising initiatives

Speaking:

Pritesh Makhija

Pritesh Makhija

Medibank

Wendy Loomes

Wendy Loomes

South Western Sydney Local Health District

Gordon Mckinley

Gordon Mckinley

Bupa

Keith Suckling

Keith Suckling

Cochlear

2:40

Panel Discussion: Data literacy - How to design your data capture processes to enrich your data sets

It’s no surprise that data comes second place to providing care. All healthcare organisations exist to support patient outcomes – not necessarily data projects. However, the huge potential of data to underpin better clinical outcomes is the next evolution of healthcare. One of the key issues is that time poor clinicians aren’t necessarily capturing rich, accurate data sets. This session will look at how to improve data literacy, including:

  • Making data collection processes more intuitive and easier to complete
  • Standardising nomenclature and taxonomies of data to ensure a non-ambiguous format
  • Ensuring the data is entered in a format that can be used for surveillance
  • How to support clinicians to access their own data
  • How do you engage clinicians and help them get analytics that are useful?
  • How to teach clinicians the consequences of ‘garbage in and garbage out‘

Speaking:

David Rankin

Dr David Rankin

Clinical Informatics Director, Cabrini

Jane Shrapnel

Jane Shrapnel

Data Scientist, Sydney Children’s Hospital Network

Cathy Jones

Cathy Jones

Director of Clinical Governance , Healthscope

Lauren Beard

Lauren Beard

Analytics Development Manager, Insights Centre, Ambulance Victoria

Panel Discussion: Data literacy - How to design your data capture processes to enrich your data sets

October 23 | 14:40 - 15:05

It’s no surprise that data comes second place to providing care. All healthcare organisations exist to support patient outcomes – not necessarily data projects. However, the huge potential of data to underpin better clinical outcomes is the next evolution of healthcare. One of the key issues is that time poor clinicians aren’t necessarily capturing rich, accurate data sets. This session will look at how to improve data literacy, including:

  • Making data collection processes more intuitive and easier to complete
  • Standardising nomenclature and taxonomies of data to ensure a non-ambiguous format
  • Ensuring the data is entered in a format that can be used for surveillance
  • How to support clinicians to access their own data
  • How do you engage clinicians and help them get analytics that are useful?
  • How to teach clinicians the consequences of ‘garbage in and garbage out‘

Speaking:

Lauren Beard

Lauren Beard

Ambulance Victoria

Jane Shrapnel

Jane Shrapnel

Sydney Children’s Hospital Network

David Rankin

Dr David Rankin

Cabrini

Cathy Jones

Cathy Jones

Healthscope

Track A - Case studies

2:40

Case study: Enabling access to real time data through interactive dashboards

  • From static reports to real-time reporting
  • Unlocking data from your electronical medical record system
  • Configuring dashboards that better serve the end user

Speaking:

Ben Kuppe-1

Ben Kuppe

Director of Business Intelligence, Monash Health

Case study: Enabling access to real time data through interactive dashboards

October 23 | 14:40 - 15:05

  • From static reports to real-time reporting
  • Unlocking data from your electronical medical record system
  • Configuring dashboards that better serve the end user

Speaking:

Ben Kuppe-1

Ben Kuppe

Monash Health

3:05

Afternoon Tea & Networking in the Exhibition Area

Afternoon Tea & Networking in the Exhibition Area

October 22 | 15:05 - 15:35

Speaking:

3:35

Delivering the right information into the right hands – System Dynamics and the case of Emergency Care

  • Administrative and territorial boundaries can lead to siloed decision-making in healthcare wherein decisions within one part of the system are made without considering their impact on other parts.
  • System Dynamics (SD) is a scientifically rigorous, evidence-based approach that can span system level boundaries and provide decision makers with an aerial view of the system and an understanding of the consequences, both intended and unintended of their decisions.
  • SD offers a flexible intervention-testing tool that enables teams on the ground to utilise available data to make informed decisions under complex conditions.
  • There is ample evidence to show that systems tools are transforming performance in other large-scale complex industries – however their strategic use in healthcare has been limited despite the explosion in data accessibility and communications capabilities.
  • Research and innovation focussed on optimising the operational and strategic decisions that drive efficiencies can empower better delivery and ultimately better care.
  • New partnership are needed in a business meets research model. This has been a long time coming. As far back as 2005, the National Academy of Engineering and the Institute of Medicine in the US advocated for this. Veteran Affairs in the USA today are engaging system dynamists with data scientists in a participatory SD modelling project to increase delivery of evidence-based decisions to improve addiction and mental health care.
  • CBEH and Mater Health (public ED) have developed a pilot intervention-testing SD tool and the results have been very promising. The model can replicate ED flow accurately simulating the patient backlogs and delays. The model can change multiple modifiable factors simultaneously to see the impact on flow.
  • Decisions can be tested in a risk-free virtual system twin.

Speaking:

Sue McEvoy

Dr Sue McAvoy

Senior Research Fellow UQBS, Lecturer UQBS, Board Chair, St Joseph's Nudgee College

Delivering the right information into the right hands – System Dynamics and the case of Emergency Care

October 27 | 15:35 - 16:00

  • Administrative and territorial boundaries can lead to siloed decision-making in healthcare wherein decisions within one part of the system are made without considering their impact on other parts.
  • System Dynamics (SD) is a scientifically rigorous, evidence-based approach that can span system level boundaries and provide decision makers with an aerial view of the system and an understanding of the consequences, both intended and unintended of their decisions.
  • SD offers a flexible intervention-testing tool that enables teams on the ground to utilise available data to make informed decisions under complex conditions.
  • There is ample evidence to show that systems tools are transforming performance in other large-scale complex industries – however their strategic use in healthcare has been limited despite the explosion in data accessibility and communications capabilities.
  • Research and innovation focussed on optimising the operational and strategic decisions that drive efficiencies can empower better delivery and ultimately better care.
  • New partnership are needed in a business meets research model. This has been a long time coming. As far back as 2005, the National Academy of Engineering and the Institute of Medicine in the US advocated for this. Veteran Affairs in the USA today are engaging system dynamists with data scientists in a participatory SD modelling project to increase delivery of evidence-based decisions to improve addiction and mental health care.
  • CBEH and Mater Health (public ED) have developed a pilot intervention-testing SD tool and the results have been very promising. The model can replicate ED flow accurately simulating the patient backlogs and delays. The model can change multiple modifiable factors simultaneously to see the impact on flow.
  • Decisions can be tested in a risk-free virtual system twin.

Speaking:

Sue McEvoy

Dr Sue McAvoy

St Joseph's Nudgee College

4:00

Case study: Developing an Enterprise Data Platform to Increase efficiency and security

Managing 16 public and private hospitals, 21 aged care facilities, Medical research institutes and charitable foundations, St Vincent’s Health is a large, complex healthcare provider. With scale comes the challenges of integrating multiple data platforms. Here, we will hear from Stephanie Owen on how they have undertaken the huge task of creating an enterprise data platform. Stephanie will discuss:

  • How they have managed governance when integrating multiple data silos
  • The efficiencies created by unifying data analytics and warehousing
  • Proving the value of information in order to receive organisational support
  • The people and culture benefits and challenges
  • Standardising the technology stack and seeking scalability in the cloud

Speaking:

Stephanie Owen

Stephanie Owen

Group Manager IT Strategy, Architecture and Analytics, St Vincent’s Health Australia

Case study: Developing an Enterprise Data Platform to Increase efficiency and security

October 23 | 16:00 - 16:25

Managing 16 public and private hospitals, 21 aged care facilities, Medical research institutes and charitable foundations, St Vincent’s Health is a large, complex healthcare provider. With scale comes the challenges of integrating multiple data platforms. Here, we will hear from Stephanie Owen on how they have undertaken the huge task of creating an enterprise data platform. Stephanie will discuss:

  • How they have managed governance when integrating multiple data silos
  • The efficiencies created by unifying data analytics and warehousing
  • Proving the value of information in order to receive organisational support
  • The people and culture benefits and challenges
  • Standardising the technology stack and seeking scalability in the cloud

Speaking:

Stephanie Owen

Stephanie Owen

St Vincent’s Health Australia

4:25

Case study: 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

Speaking:

Rachel Fojtik

Rachel Fojtik

Director Analytics and Performance, Mater Health

Case study: Using data analytics to create actionable insights and improve patient outcomes

October 22 | 16:25 - 16:50

  • 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

Speaking:

Rachel Fojtik

Rachel Fojtik

Mater Health

4:50

NSW Health Pathology Atlas of Variation - driving positive change in ordering practices at a local level to improve patient outcomes and throughput and reduce unwarranted waste

NSW Health Pathology’s laboratories serves NSW’s population of approximately 7.5 million people with 10.4 million encounters in the NSW Health System, receiving 10.5 million pathology requests, performing 46 million test panels and reporting 285 million results. Craig and Alex will report on:

  • Overcoming the challenges of disparate data sources and data linkage
  • Importance of collaborations to understand the challenges, build working relationships and meet desired outcomes
  • Identifying pathology ordering variation in patient pathways and throughput measures
  • Drivers that impact pathology ordering, local policy, systems and price setting
  • System Test Panels and opportunities to move towards intelligent Test Panels

Speaking:

Craig Scowen

Craig Scowen

Data Scientist, NSW Health Pathology

NSW Health Pathology Atlas of Variation - driving positive change in ordering practices at a local level to improve patient outcomes and throughput and reduce unwarranted waste

October 23 | 16:50 - 17:15

NSW Health Pathology’s laboratories serves NSW’s population of approximately 7.5 million people with 10.4 million encounters in the NSW Health System, receiving 10.5 million pathology requests, performing 46 million test panels and reporting 285 million results. Craig and Alex will report on:

  • Overcoming the challenges of disparate data sources and data linkage
  • Importance of collaborations to understand the challenges, build working relationships and meet desired outcomes
  • Identifying pathology ordering variation in patient pathways and throughput measures
  • Drivers that impact pathology ordering, local policy, systems and price setting
  • System Test Panels and opportunities to move towards intelligent Test Panels

Speaking:

Craig Scowen

Craig Scowen

NSW Health Pathology

5:15

Discussion session: Integrating data from silos to derive actionable insights

  • Why it’s so difficult to obtain access to from multiple data sets in healthcare
  • How to fast track data integration and spend less time data wrangling
  • Forming a holistic experience to the patient - getting away from a siloed approach
  • How to use different sources getting a single view of the patient
  • Integrating the different technologies so that your data and analytics are usable

Speaking:

Steven McConchie

Steven McConchie

Group Manager, Clinical Outcome and Analytics, Epworth HealthCare

Sue McEvoy

Dr Sue McAvoy

Senior Research Fellow UQBS, Lecturer UQBS, Board Chair, St Joseph's Nudgee College

Phil Anderson

Head, Data Linkage Unit, Australian Institute of Health and Welfare

Kevin Ross Orion Health

Dr Kevin Ross

CEO, Precision Driven Health

Discussion session: Integrating data from silos to derive actionable insights

October 23 | 17:15 - 17:40

  • Why it’s so difficult to obtain access to from multiple data sets in healthcare
  • How to fast track data integration and spend less time data wrangling
  • Forming a holistic experience to the patient - getting away from a siloed approach
  • How to use different sources getting a single view of the patient
  • Integrating the different technologies so that your data and analytics are usable

Speaking:

Steven McConchie

Steven McConchie

Epworth HealthCare

Kevin Ross Orion Health

Dr Kevin Ross

Precision Driven Health

Sue McEvoy

Dr Sue McAvoy

St Joseph's Nudgee College

Phil Anderson

Australian Institute of Health and Welfare

5:40

Networking Drinks in the Exhibition Area

Networking Drinks in the Exhibition Area

October 22 | 17:40 - 18:30

Speaking:

Thursday 5th March
08:00

Registration, Coffee & Networking in the Exhibition Area

Registration, Coffee & Networking in the Exhibition Area

October 23 | 08:00 - 08:30

Speaking:

08:30

Chair’s Opening Remarks

Chair’s Opening Remarks

October 23 | 08:30 - 08:40

Speaking:

08:40

Establishing an Enterprise-wide Data Governance Roadmap

  • Key Healthcare Statistics – ADHB Region
  • Growth in healthcare costs vs GDP – NZ
  • Healthcare costs – Historical & Projected
  • The Challenge - Our goal as a health system
  • How we have connected data across care settings, and used artificial Intelligence, 3D printing and Big data
  • The role to be played by Internet of things, Natural language processing, and virtual and augmented reality
  • The governance challenge: Complex systems landscape, 700+ systems, many legacy systems nearing end of life and an overworked workforce
  • Data Governance: Our Implementation Approach
  • Phase 1 – Understanding the Business, Identifying Key Stakeholders and Building support and communicating
  • Importance of socialising governance recommendations and responsibilities with key stakeholders
  • Ensuring that minimal work is allocated to data stewards

Speaking:

Establishing an Enterprise-wide Data Governance Roadmap

October 23 | 08:40 - 09:05

  • Key Healthcare Statistics – ADHB Region
  • Growth in healthcare costs vs GDP – NZ
  • Healthcare costs – Historical & Projected
  • The Challenge - Our goal as a health system
  • How we have connected data across care settings, and used artificial Intelligence, 3D printing and Big data
  • The role to be played by Internet of things, Natural language processing, and virtual and augmented reality
  • The governance challenge: Complex systems landscape, 700+ systems, many legacy systems nearing end of life and an overworked workforce
  • Data Governance: Our Implementation Approach
  • Phase 1 – Understanding the Business, Identifying Key Stakeholders and Building support and communicating
  • Importance of socialising governance recommendations and responsibilities with key stakeholders
  • Ensuring that minimal work is allocated to data stewards

Speaking:

09:05

From insight to action: Using your data to improve patient outcomes

Comparing the effectiveness of data platforms from multiple jurisdictions, including Victoria

  • How they are designed to move patient analytics from insight to action
  • Possible barriers to achieving actionable insights

Speaking:

From insight to action: Using your data to improve patient outcomes

October 23 | 09:05 - 09:30

Comparing the effectiveness of data platforms from multiple jurisdictions, including Victoria

  • How they are designed to move patient analytics from insight to action
  • Possible barriers to achieving actionable insights

Speaking:

09:30

Case Study: Using Analytics to predict patient readmission

Epworth Healthcare has developed analytics to measure, with 88% accuracy, the likelihood of a patient being re-admitted, during the original hospital stay. This has huge potential to reduce the burden of readmission of the patient. This session will look at how the team:

  • Used hospital date to predict which patients would be re-admitted
  • Created models and tested these over the last 12 months
  • Are taking steps for preventing re-admission
  • Deploy a bedside a score per patient
  • Pushing the project forward to action
  • Journey to support clinician’s decisions
  • Being predictive not prescriptive

Speaking:

Steven McConchie

Steven McConchie

Group Manager, Clinical Outcome and Analytics, Epworth HealthCare

Case Study: Using Analytics to predict patient readmission

October 22 | 09:30 - 09:55

Epworth Healthcare has developed analytics to measure, with 88% accuracy, the likelihood of a patient being re-admitted, during the original hospital stay. This has huge potential to reduce the burden of readmission of the patient. This session will look at how the team:

  • Used hospital date to predict which patients would be re-admitted
  • Created models and tested these over the last 12 months
  • Are taking steps for preventing re-admission
  • Deploy a bedside a score per patient
  • Pushing the project forward to action
  • Journey to support clinician’s decisions
  • Being predictive not prescriptive

Speaking:

Steven McConchie

Steven McConchie

Epworth HealthCare

09:55

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:

Charmaine Tam

Charmaine Tam

Project Lead, Digital Health Analytics, Centre for Translational Data Science, University of Sydney

Jane Shrapnel

Jane Shrapnel

Data Scientist, Sydney Children’s Hospital Network

Rachel Fojtik

Rachel Fojtik

Director Analytics and Performance, Mater Health

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

October 22 | 09:55 - 10:30

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:

Rachel Fojtik

Rachel Fojtik

Mater Health

Jane Shrapnel

Jane Shrapnel

Sydney Children’s Hospital Network

Charmaine Tam

Charmaine Tam

University of Sydney

10:30

Mid-Morning Coffee & Networking in the Exhibition Area

Mid-Morning Coffee & Networking in the Exhibition Area

October 23 | 10:30 - 11:00

Speaking:

11:00

Case study: Rationalising data reporting across an organisation

Cabrini has had over 130 indicators that are collected and reported across the organisation. Many are very manual and require extensive investment to collect. Given the capacity of any manager, an organisation needs a small set of consistently collected and reported indicators – from the Board to the clinician. Determining what these core metrics are is a challenge. Once determined, Cabrini has been able to develop a structured, unified hierarchy of reporting with defined sources of truth. This session will examine how creating a unified set of key performance indicators (clinical, experience and financial) has enabled consistent strategic focus across the organisation.

Speaking:

David Rankin

Dr David Rankin

Clinical Informatics Director, Cabrini

Case study: Rationalising data reporting across an organisation

October 22 | 11:00 - 11:25

Cabrini has had over 130 indicators that are collected and reported across the organisation. Many are very manual and require extensive investment to collect. Given the capacity of any manager, an organisation needs a small set of consistently collected and reported indicators – from the Board to the clinician. Determining what these core metrics are is a challenge. Once determined, Cabrini has been able to develop a structured, unified hierarchy of reporting with defined sources of truth. This session will examine how creating a unified set of key performance indicators (clinical, experience and financial) has enabled consistent strategic focus across the organisation.

Speaking:

David Rankin

Dr David Rankin

Cabrini

11:25

Case study: Integrating and analysing data in a Regional Health environment

Looking after a population of 310K people in Western NSW and Far West, Shane Glasheen looks after healthcare information in NSW’s largest health districts in land area. Here he will speak about some of the challenges to overcome in data analytics for a regional health environment, including geographical challenges, Indigenous health, virtual health, and issues with small numbers. He will talk about:

  • How he is writing the software to put this all together, including automation
  • Ensuring they are capturing all pre-defined health outcomes KPIs
  • How to get consistent data integrity from such a wide variety of data sources
  • Measures used to track closing the gap for Indigenous health
  • Measuring quality and safety KPIs that affect patient care
  • Merging of health data sets, both in and out of hospital, to produce a meaningful story of the patient journey

Speaking:

Shane Glasheen

Shane Glasheen

Data Scientist, Health Intelligence Unit, Planning, Performance and Funding Directorate, Western NSW Local Health District

Case study: Integrating and analysing data in a Regional Health environment

October 22 | 11:25 - 11:50

Looking after a population of 310K people in Western NSW and Far West, Shane Glasheen looks after healthcare information in NSW’s largest health districts in land area. Here he will speak about some of the challenges to overcome in data analytics for a regional health environment, including geographical challenges, Indigenous health, virtual health, and issues with small numbers. He will talk about:

  • How he is writing the software to put this all together, including automation
  • Ensuring they are capturing all pre-defined health outcomes KPIs
  • How to get consistent data integrity from such a wide variety of data sources
  • Measures used to track closing the gap for Indigenous health
  • Measuring quality and safety KPIs that affect patient care
  • Merging of health data sets, both in and out of hospital, to produce a meaningful story of the patient journey

Speaking:

Shane Glasheen

Shane Glasheen

Western NSW Local Health District

11:50

Case study: Transitioning data analysis to study hospital performance

  • Queensland Health faces a challenge, where increasing demand for healthcare services is competing with a tough funding environment.
  • The system needed to build a funding model with enough activity to accommodate predicted growth in demand, within the waiting time performance indicators, that could still fit into the likely funding scenario.
  • One of the many problems to overcome was the disparate nature of the relative databases. Performance data meets the needs of performance reporting but doesn’t consider activity, and funding data bears no resemblance to performance datasets.
  • And what even is “demand”? Previous health funding considered demand as the volume of activity that was historically provided, but what about all of the patients still on a waitlist?
  • To answer these questions the Healthcare Purchasing and System Performance Division collaborated on a project to develop the “Purchasing for Performance” predictive modelling tool.
  • In this session Ruth will describe how the tool works, and share the many insights gathered along the way, such as:
    • How to fit round pegs into square holes
    • Figuring out what “demand” is
    • Managing expectations
    • Where to next?

Speaking:

Ruth Farrell

Ruth Farrell

Manager, Data Analytics, Queensland Health

Case study: Transitioning data analysis to study hospital performance

October 22 | 11:50 - 12:15

  • Queensland Health faces a challenge, where increasing demand for healthcare services is competing with a tough funding environment.
  • The system needed to build a funding model with enough activity to accommodate predicted growth in demand, within the waiting time performance indicators, that could still fit into the likely funding scenario.
  • One of the many problems to overcome was the disparate nature of the relative databases. Performance data meets the needs of performance reporting but doesn’t consider activity, and funding data bears no resemblance to performance datasets.
  • And what even is “demand”? Previous health funding considered demand as the volume of activity that was historically provided, but what about all of the patients still on a waitlist?
  • To answer these questions the Healthcare Purchasing and System Performance Division collaborated on a project to develop the “Purchasing for Performance” predictive modelling tool.
  • In this session Ruth will describe how the tool works, and share the many insights gathered along the way, such as:
    • How to fit round pegs into square holes
    • Figuring out what “demand” is
    • Managing expectations
    • Where to next?

Speaking:

Ruth Farrell

Ruth Farrell

Queensland Health

12:15

Case study: How the Victorian Ambulance service is sharing real-time data to improve patient outcomes

  • Background to the automation piece they have been working on since February this year
  • Audit the interventions using machine learning
  • Uncovering important areas of variations in clinical care providers
  • Using agile methodologies and embedding those learnings
  • Opportunities: sharing real time data with hospitals
  • What we currently don’t know: Right now if a hospital has an influx the ambulances can we send the right number of people?
  • Working together as a system and no longer operating in silos
  • Increasing data sharing to make demand management decisions

Speaking:

Lauren Beard

Lauren Beard

Analytics Development Manager, Insights Centre, Ambulance Victoria

Case study: How the Victorian Ambulance service is sharing real-time data to improve patient outcomes

October 22 | 12:15 - 12:40

  • Background to the automation piece they have been working on since February this year
  • Audit the interventions using machine learning
  • Uncovering important areas of variations in clinical care providers
  • Using agile methodologies and embedding those learnings
  • Opportunities: sharing real time data with hospitals
  • What we currently don’t know: Right now if a hospital has an influx the ambulances can we send the right number of people?
  • Working together as a system and no longer operating in silos
  • Increasing data sharing to make demand management decisions

Speaking:

Lauren Beard

Lauren Beard

Ambulance Victoria

12:40

Buffet Lunch & Networking in the Exhibition Area

Buffet Lunch & Networking in the Exhibition Area

October 23 | 12:40 - 13:40

Speaking:

Track A - Case studies

1:40

Case study: The transformation journey from on- premise and complex analytics solutions to simplified and responsive cloud based services to deliver more efficient and faster business outcomes

Speaking:

Adam McGuinness

Adam McGuinness

Data Warehouse & Analytics Platform Architect, NPS MedecineWise

Case study: The transformation journey from on- premise and complex analytics solutions to simplified and responsive cloud based services to deliver more efficient and faster business outcomes

October 23 | 13:40 - 14:05

Speaking:

Adam McGuinness

Adam McGuinness

NPS MedecineWise

Track B - Discussion Groups

1:40

Extended Discussion panel: Implementing a robust data governance framework to ensure high data quality and faster access

  • Handling the challenge of the breadth of information in healthcare
  • What good data governance looks like in healthcare and why it is so crucial to patient outcomes
  • Network governance models for ethical and compliant data use
  • Does anyone have an enterprise wide data governance framework in healthcare?
  • Why healthcare providers need a good data dictionary
  • Establishing Data Custodians - who owns the data in healthcare?

Speaking:

Barry Leung

Barry Leung

Head of Strategy and Actuarial Services, Defence Health Ltd

Kevin Ross Orion Health

Dr Kevin Ross

CEO, Precision Driven Health

Peita Bonato

Peita Bonato

Senior Director, Data Governance Hub, Future Capability & Governance, Digital Solutions Division, ACT Health Directorate

Extended Discussion panel: Implementing a robust data governance framework to ensure high data quality and faster access

October 23 | 13:40 - 14:30

  • Handling the challenge of the breadth of information in healthcare
  • What good data governance looks like in healthcare and why it is so crucial to patient outcomes
  • Network governance models for ethical and compliant data use
  • Does anyone have an enterprise wide data governance framework in healthcare?
  • Why healthcare providers need a good data dictionary
  • Establishing Data Custodians - who owns the data in healthcare?

Speaking:

Peita Bonato

Peita Bonato

ACT Health Directorate

Kevin Ross Orion Health

Dr Kevin Ross

Precision Driven Health

Barry Leung

Barry Leung

Defence Health Ltd

Track A - Case studies

2:05

Case study: The huge potential of analytics applied to clinical research – Cardiac incidents

  • How this project is analysing the rawest form of electronic health data analytics
  • Extracting electronic medical records from a patient’s episode of care including: Ambulance, Emergency Department investigations, clinical documentation, Images
  • Ensuring this data good quality and Distilled and collated correctly
  • How this information will be used to show how the facilities are performing and can improved

Speaking:

Charmaine Tam

Charmaine Tam

Project Lead, Digital Health Analytics, Centre for Translational Data Science, University of Sydney

Case study: The huge potential of analytics applied to clinical research – Cardiac incidents

October 23 | 14:05 - 14:30

  • How this project is analysing the rawest form of electronic health data analytics
  • Extracting electronic medical records from a patient’s episode of care including: Ambulance, Emergency Department investigations, clinical documentation, Images
  • Ensuring this data good quality and Distilled and collated correctly
  • How this information will be used to show how the facilities are performing and can improved

Speaking:

Charmaine Tam

Charmaine Tam

University of Sydney

2:30

Afternoon Tea & Networking in the Exhibition Area

Afternoon Tea & Networking in the Exhibition Area

October 23 | 14:30 - 14:50

Speaking:

2:50

Case study: AI supported IoT system for monitoring rehabilitation at home post knee and hip replacement operation

Speaking:

Jacek Kowalski-1

Dr Jacek Kowalski

GM Analytics/Chief Data Scientist, Customer, Digital & Technology, Australian Unity

Case study: AI supported IoT system for monitoring rehabilitation at home post knee and hip replacement operation

October 22 | 14:50 - 15:15

Speaking:

Jacek Kowalski-1

Dr Jacek Kowalski

Australian Unity

3:15

Case study: An interactive live dashboard for risk adjusted Hospital Acquired Complications (HAC)

This case study explains an innovative method to analyse Hospital Acquired Complications (HACs) and compare performance with peer hospitals to improve patient safety and quality of care.

The case study benchmarked performance against external private and public hospitals with the same complexity/casemix. A web based benchmarking portal was designed, allowing hospitals to view results in real time, and drill down to patient level details. Benchmarking each complication type allowed hospitals to identify which complication was causing the most harm, after risk adjustment.

Speaking:

Suresh Devarajan

Suresh Devarajan

National Manager – Clinical Indicators, Healthscope

Case study: An interactive live dashboard for risk adjusted Hospital Acquired Complications (HAC)

October 22 | 15:15 - 15:40

This case study explains an innovative method to analyse Hospital Acquired Complications (HACs) and compare performance with peer hospitals to improve patient safety and quality of care.

The case study benchmarked performance against external private and public hospitals with the same complexity/casemix. A web based benchmarking portal was designed, allowing hospitals to view results in real time, and drill down to patient level details. Benchmarking each complication type allowed hospitals to identify which complication was causing the most harm, after risk adjustment.

Speaking:

Suresh Devarajan

Suresh Devarajan

Healthscope

3:40

Case study: Getting ready for Deep Learning - Modernising and improving data quality and data engineering through standardising approaches to metadata management

This session will showcase the metadata repository (CIDA) project undertaken in the Cancer Institute, which created an organisation-wide approach to the management of metadata, analytics, research output management, data use and security, aimed to modernising the use of analytics and embedding modern data science tools and techniques. It will cover:

  • Building secure, API-first, data engineering pipelines using modern data science tooling
  • Tracking data quality and data lineage across web assets
  • How to approach the design of modular and containerised IT stacks optimised for data science
  • Using Python and R to deliver web services and interactive analytics
  • How to address inconsistencies across data nomenclature and developing flexible taxonomies to connect disparate datasets
  • Replacing traditional ETL with a rapid-development data engineering pipelines
  • Creating a web based framework for managing research and reporting outputs

Speaking:

Case study: Getting ready for Deep Learning - Modernising and improving data quality and data engineering through standardising approaches to metadata management

October 23 | 15:40 - 16:05

This session will showcase the metadata repository (CIDA) project undertaken in the Cancer Institute, which created an organisation-wide approach to the management of metadata, analytics, research output management, data use and security, aimed to modernising the use of analytics and embedding modern data science tools and techniques. It will cover:

  • Building secure, API-first, data engineering pipelines using modern data science tooling
  • Tracking data quality and data lineage across web assets
  • How to approach the design of modular and containerised IT stacks optimised for data science
  • Using Python and R to deliver web services and interactive analytics
  • How to address inconsistencies across data nomenclature and developing flexible taxonomies to connect disparate datasets
  • Replacing traditional ETL with a rapid-development data engineering pipelines
  • Creating a web based framework for managing research and reporting outputs

Speaking:

4:05

Case study: The Australian Hospital Patient Experience Question Set – early adoption

This case study describes early adoption of the Australian Hospital Patient Experience Question Set (AHPEQS) and use of a real-time dashboard to drive improvements in patient experience at ward level. Nurse Managers use the dashboard at ward level to view real-time quantitative and qualitative feedback from patients and make changes to improve patient experience.

The survey and dashboard is a key component of Back to Bedside, Healthscope’s change management strategy targeting consistent person-centred care through system and behavioural change.

Speaking:

Cathy Jones

Cathy Jones

Director of Clinical Governance , Healthscope

Case study: The Australian Hospital Patient Experience Question Set – early adoption

October 27 | 16:05 - 16:30

This case study describes early adoption of the Australian Hospital Patient Experience Question Set (AHPEQS) and use of a real-time dashboard to drive improvements in patient experience at ward level. Nurse Managers use the dashboard at ward level to view real-time quantitative and qualitative feedback from patients and make changes to improve patient experience.

The survey and dashboard is a key component of Back to Bedside, Healthscope’s change management strategy targeting consistent person-centred care through system and behavioural change.

Speaking:

Cathy Jones

Cathy Jones

Healthscope

4:30

Improving data linkage to reduce fragmentation and gain a whole view of the patient journey

  • Identifying patients while de-identifying the data - navigating he checks and balances
  • Understanding state and federal government efforts to link data sets
  • Techniques for streamlining the linking of patients across systems while maintaining anonymity
  • Ensuring privacy and ethics of data use

Speaking:

Phil Anderson

Head, Data Linkage Unit, Australian Institute of Health and Welfare

Improving data linkage to reduce fragmentation and gain a whole view of the patient journey

October 27 | 16:30 - 16:55

  • Identifying patients while de-identifying the data - navigating he checks and balances
  • Understanding state and federal government efforts to link data sets
  • Techniques for streamlining the linking of patients across systems while maintaining anonymity
  • Ensuring privacy and ethics of data use

Speaking:

Phil Anderson

Australian Institute of Health and Welfare

4:55

Conference Close

Conference Close

October 23 | 16:55

Speaking: