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Data & Analytics in Healthcare

4-5 March 2020, Melbourne

Download the PDF Agenda View the Event Packages 
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

November 11 | 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

International Keynote: The Future of Healthcare Data and Analytics – Artificial Intelligence, Machine Learning and Beyond

International Keynote: The Future of Healthcare Data and Analytics – Artificial Intelligence, Machine Learning and Beyond

October 22 | 09:40 - 10:05

Speaking:

10:05

Keynote Presentation: How Queensland Health is improving patient outcomes and experiences, while delivering a more an affordable healthcare environment

Queensland is in a very unique position in the world to bring together the power of data across a population of nearly five million people. There is no one else in the world that’s done that. Professor Keith McNeil’s role is to bring the whole piece together – bringing the technology, the implementation and the usability pieces all together. As a result, QLD health can now generate the data, information and knowledge that can be used to better inform the system.

In this keynote address, Professor Keith McNeil will discuss:

  • 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:

Keith McNeil

Keith McNeil

Chief Clinical Information Officer, Queensland Health

Keynote Presentation: How Queensland Health is improving patient outcomes and experiences, while delivering a more an affordable healthcare environment

October 22 | 10:05 - 10:30

Queensland is in a very unique position in the world to bring together the power of data across a population of nearly five million people. There is no one else in the world that’s done that. Professor Keith McNeil’s role is to bring the whole piece together – bringing the technology, the implementation and the usability pieces all together. As a result, QLD health can now generate the data, information and knowledge that can be used to better inform the system.

In this keynote address, Professor Keith McNeil will discuss:

  • 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:

Keith McNeil

Keith McNeil

Queensland Health

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

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 | 11:00 - 11:25

  • 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

11:25

Using and managing (personal) data to understand patient 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

Chief Information Officer, National Heart Foundation

Using and managing (personal) data to understand patient behaviour

October 22 | 11:25 - 11:50

  • 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

National Heart Foundation

11:50

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

Keith McNeil

Keith McNeil

Chief Clinical Information Officer, Queensland Health

Rowan Thomas.jpg

Dr Rowan Thomas

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

Shane Riddle

Shane Riddle

Chief Information Officer, National Heart Foundation

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

October 22 | 11:50 - 12:35

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:

Rowan Thomas.jpg

Dr Rowan Thomas

St Vincent’s Health Australia

Keith McNeil

Keith McNeil

Queensland Health

Shane Riddle

Shane Riddle

National Heart Foundation

Lance Emerson

Dr Lance Emerson

Victorian Agency for Health Information

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: 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

Director of Research, Orion Health

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

October 22 | 13:25 - 13:50

  • 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

Orion Health

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

Kira Leeb

Kira Leeb

Executive Director, Health and System Performance Reporting, Victorian Agency for Health Information

David Rankin

Dr David Rankin

Clinical Informatics Director, Cabrini

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

Kira Leeb

Kira Leeb

Victorian Agency for Health Information

David Rankin

Dr David Rankin

Cabrini

Matt Morris

Matt Morris

Barwon Health

Track A - Case studies

1:50

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 | 13:50 - 14:15

  • 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

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

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:

Stephanie Owen

Stephanie Owen

St Vincent’s Health Australia

Track A - Case studies

2:15

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

Speaking:

Jacek Kowalski

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 | 14:15 - 14:40

Speaking:

Jacek Kowalski

Dr Jacek Kowalski

Australian Unity

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

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

Keith Suckling

Keith Suckling

Cochlear

Track A - Case studies

2:40

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 | 14:40 - 15:05

  • 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

Speaking:

Rachel Fojtik

Rachel Fojtik

Mater Health

Track B - Discussion Groups

2:40

FIRE SIDE CHAT: Totally off the record session with our international speaker. Unscripted interview where delegates can ask burning questions.

Speaking:

FIRE SIDE CHAT: Totally off the record session with our international speaker. Unscripted interview where delegates can ask burning questions.

October 23 | 14:40 - 15:05

Speaking:

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

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, Children's Hospital at Westmead, (The Sydney Children's Hospitals Network)

Kira Leeb

Kira Leeb

Executive Director, Health and System Performance Reporting, Victorian Agency for Health Information

Jamie Gabriel

Dr Jamie Gabriel

Manager, Data Governance, Cancer Institute NSW

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

October 23 | 15:35 - 16:00

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:

Jamie Gabriel

Dr Jamie Gabriel

Cancer Institute NSW

Kira Leeb

Kira Leeb

Victorian Agency for Health Information

David Rankin

Dr David Rankin

Cabrini

Jane Shrapnel

Jane Shrapnel

Children's Hospital at Westmead, (The Sydney Children's Hospitals Network)

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

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

Kira Leeb

Kira Leeb

Executive Director, Health and System Performance Reporting, Victorian Agency for Health Information

Jamie Gabriel

Dr Jamie Gabriel

Manager, Data Governance, Cancer Institute NSW

Discussion session: Integrating data from silos to derive actionable insights

October 23 | 16:25 - 17:00

  • 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

Jamie Gabriel

Dr Jamie Gabriel

Cancer Institute NSW

Kira Leeb

Kira Leeb

Victorian Agency for Health Information

5:00

Networking Drinks in the Exhibition Area

Networking Drinks in the Exhibition Area

October 22 | 17:00 - 17:00

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:

Ali Khan

Ali Khan

Head of Data, Auckland District Health Board

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:

Ali Khan

Ali Khan

Auckland District Health Board

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:

Kira Leeb

Kira Leeb

Executive Director, Health and System Performance Reporting, Victorian Agency for Health Information

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:

Kira Leeb

Kira Leeb

Victorian Agency for Health Information

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, Children's Hospital at Westmead, (The Sydney Children's Hospitals Network)

Jamie Gabriel

Dr Jamie Gabriel

Manager, Data Governance, Cancer Institute NSW

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:

Jamie Gabriel

Dr Jamie Gabriel

Cancer Institute NSW

Jane Shrapnel

Jane Shrapnel

Children's Hospital at Westmead, (The Sydney Children's Hospitals 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 has more than 9000 employees, and one of their major projects has been moving from having a data collection strategy that work for funding, into one that truly measure hospital performance. Here Ruth will talk about how they have undertaken this huge task by examining the following factors:

  • Examining where the health system has gone wrong? How are we going? What is our performance framework?
  • Presenting the analytics to senior management as dash board of a car - which dial is going red? What is the outlook of the system? Giving a report on how they are flying
  • Working to deliver more predictive analytics
  • Adhering to the legislation for privacy and ethics
  • Getting a qualitative measure of the patient experience

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 has more than 9000 employees, and one of their major projects has been moving from having a data collection strategy that work for funding, into one that truly measure hospital performance. Here Ruth will talk about how they have undertaken this huge task by examining the following factors:

  • Examining where the health system has gone wrong? How are we going? What is our performance framework?
  • Presenting the analytics to senior management as dash board of a car - which dial is going red? What is the outlook of the system? Giving a report on how they are flying
  • Working to deliver more predictive analytics
  • Adhering to the legislation for privacy and ethics
  • Getting a qualitative measure of the patient experience

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

Principal Reporting Analyst, 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/Information Warehouse 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

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

There is a gap between the research being done anyone and being published and used is 12 years. So is this where data and analytics step into the breach and support the decisions clinicians make?

  • 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 an analytics to support translation medicine?

Speaking:

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

October 22 | 13:40 - 16:30

There is a gap between the research being done anyone and being published and used is 12 years. So is this where data and analytics step into the breach and support the decisions clinicians make?

  • 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 an analytics to support translation medicine?

Speaking:

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

Track B - Discussion Groups

2:05

Discussion session: Successful implementation of EMR

  • Moving from looking at patient flow to going to analysis of clinical outcomes and research Next move: AI and ML
  • Encouraging self-services and enforcing data maturity
  • Developing near real time analytics – achieving clinical decision support at the point of care
  • Putting this into a format that is usable to the clinician
  • Getting this information to the clinician between decisions and action
  • What post EMR implementation will look like
  • Data governance – a key consideration with EMR
  • How do you get that mix of scaling for efficiency versus flexibility?

Discussion session: Successful implementation of EMR

November 11 | 14:05 - 14:30

  • Moving from looking at patient flow to going to analysis of clinical outcomes and research Next move: AI and ML
  • Encouraging self-services and enforcing data maturity
  • Developing near real time analytics – achieving clinical decision support at the point of care
  • Putting this into a format that is usable to the clinician
  • Getting this information to the clinician between decisions and action
  • What post EMR implementation will look like
  • Data governance – a key consideration with EMR
  • How do you get that mix of scaling for efficiency versus flexibility?

Speaking:

Track A - Case studies

2:30

Case study: Creating Meaningful Analytics in the Medical Device industry

Macro trends and technologies are driving expectations of customer experience to increasing personalisation, digital capability and easy self-service. More than ever, these expectations require businesses to adapt and respond constantly, flexibly and with a customer-centred mindset. In this presentation, the speaker will reflect on critical factors in the response required to drive successful organisational change to orient businesses to new and heightened expectations, including both near-term and long-term imperatives and the fundamental role of culture in making the shift.

Speaking:

Simon Marks

Simon Marks

Head Of Digital, Hartmann Group

Paul Haywood

Paul Haywood

Business Services Manager, Hartmann Group

Case study: Creating Meaningful Analytics in the Medical Device industry

October 22 | 14:30 - 14:55

Macro trends and technologies are driving expectations of customer experience to increasing personalisation, digital capability and easy self-service. More than ever, these expectations require businesses to adapt and respond constantly, flexibly and with a customer-centred mindset. In this presentation, the speaker will reflect on critical factors in the response required to drive successful organisational change to orient businesses to new and heightened expectations, including both near-term and long-term imperatives and the fundamental role of culture in making the shift.

Speaking:

Simon Marks

Simon Marks

Hartmann Group

Paul Haywood

Paul Haywood

Hartmann Group

2:45

Afternoon Tea & Networking in the Exhibition Area

Afternoon Tea & Networking in the Exhibition Area

October 23 | 14:45 - 15:15

Speaking:

3:15

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:

Alex Eigenstetter-1

Alex Eigenstetter

Director of Performance, NSW Health Pathology

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 | 15:15 - 15:40

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:

Alex Eigenstetter-1

Alex Eigenstetter

NSW Health Pathology

Craig Scowen

Craig Scowen

NSW Health Pathology

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:

Jamie Gabriel

Dr Jamie Gabriel

Manager, Data Governance, Cancer Institute NSW

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:

Jamie Gabriel

Dr Jamie Gabriel

Cancer Institute NSW

4:05

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:

male-headshot-silhouette

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

November 11 | 16:05 - 16:30

  • 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:

male-headshot-silhouette

Phil Anderson

Australian Institute of Health and Welfare

Track B - Discussion Groups

4:25

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

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

October 23 | 16:25 - 17:00

  • 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

Defence Health Ltd

4:30

Conference Close

Conference Close

October 23 | 16:30

Speaking: