Case-study led, interactive agenda...

08:30

08:50

HARNESSING THE VALUE  OF DATA AND INSIGHTS 

09:00

  • How we make data into usable clinical data?
  • The elements needed for clinical data to lead to better clinical care
  • Understanding lessons from Princess Alexandra Hospital and Metro South Health in digitising the health record
  • The Integrated Electronic Medical Record (iEMR) performance dashboards experience

09:35

  • Achieving accurate reporting of key metrics
  • Driving better care through predictive analytics
  • Improving the way data is used and analysed to create meaningful, actionable insights

10:10

  • Feeding into better health policy decision making at a state wide level 
  • Using data to inform policy and interventions from a population health perspective 
  • Harnessing geospatial capabilities to demonstrate the health and well being of certain populations

10:45

UTILISING ANALYTICS AND TECHNOLOGY FOR INFORMED DECISION MAKING

11:10

  • Identify, predict and prevent
  • Infrastructure that supports seamless integration
  • Prioritising privacy and patient safety

11:45

  • Can members be identified for care before peak utilisation?
  • What factors drive prediction?
  • What will be the expected return on investment?

12:20

  • Aligning digital change with strategic vision to build an information enabled future  
  • Transforming patient-centred care through data  
  • Leveraging EMR opportunities for improved care with predictive analytics  

12:55

01:55

  • Embedding ‘research-machine-learning’ into everyday care to optimise patient journey
  • Reducing uncertainty through bayesian styled journey data - key to research-based predictive decision
  • Optimising efficient and effective integrated care solutions

02:20

  • RT1: Open data and sharing data
    • Anthony Hollis, Managing Director, Data Governance Australia

  • RT2: Data visualisation
    • Stephen Canaris, Director - Data & Analytics, Metro South Health QLD

  • RT3: Predictive Analytics 
    • Jane Shrapnel, Principle Data Scientists, Sydney Children’s Hospital Network 

03:00

EMPOWERING CLINICIANS AND DEVELOPING A DATA CULTURE

03:20

  • Lessons learnt from St Stephen’s Hospital, Australia’s first HIMMS ENRAM Stage 7 Hospital 
  • Data from a clinical and technical perspective 
  • Using the data to change clinical care and patient outcomes 

03:45

  • Increasing clinician engagement with our tool-sets
  • Creating a culture of informed decision-making
  • Enhancing quality and care through analytics

04:25

04:30

08:30

09:00

DRIVING HEALTH INNOVATION THROUGH SMARTPHONE DATA AND IOT

09:10

  • Australia’s National Digital Health Strategy and Framework for action
  • Interoperability and Secure Messaging
  • Workforce Education
  • Driving Innovation

09:35

  • Developing agile platforms to improve the management of mental illness
  • Privacy and patient safety considerations
  • Utilising smartphone data to predict onset of mental health problems into clinical practice
  • Collecting and combining real-time monitoring data from apps to understand natural disease trajectories and treatment response

10:10

  • A case study exploring the inception of an IoT device integration and AI driven sepsis identification project 
  • Criteria to identify AI applications likely to drive value for an organisation 
  • Optimising the path from research prototype to deployed analytics product

10:45

ENHANCING PATIENT OUTCOMES THROUGH REAL-TIME DATA

11:15

  • Advancing patient flow and access with real-time ED clinical analytics
  • Empowering clinicians with analytics to improve safety, quality and patient flow
  • Advancing information and technology based solutions for improved patient care

11:50

  • Finding the source of truth
  • Breaking down silos of information
  • Moving to predictive analytics

12:20

  • Visualising real-time clinical data to promote highly reliable care 
  • Strategic visualisation of Clinical Data to monitor safety and quality throughout the health service

12:55

DATA SHARING, GOVERNANCE PRIVACY AND INTEGRATION

01:55

  • Providing a comprehensive, trusted database for a broad range of end users
  • Working with multiple sources of truth, disparate taxonomies, unvalidated data entry, and continuous verification requirements
  • Enabling data quality management through flexible and scalable platforms

02:30

  • Initiating an overhaul to make data easily accessible
  • Streamlining processes across multiple systems
  • Developing a data culture and empowering clinician and business data analysts

03:05

  • Practical and ethical data sharing: what does it look like? Who owns this data?
  • Is technology mature enough to deal with regulatory and privacy requirements?
  • The challenge of transparency, compliance and governance
  • Harnessing the value from data to enhance patient care
  • Achieving compliance and integration between service providers and within health organisations

03:40

03:45