Data & Analytics in Healthcare schedule

• What are the real impacts of better data for patient care?
• How can they best be achieved?
• How do we best measure improvement in quality and safety?
• Building a holistic view of the patient: Methods for data collection and integration across providers
• Strategies for transforming better data operations into better patient care

• Tools and techniques to support a digital revolution in your organisation
• Data as an enabler for an industry: Delivering better patient outcomes
• Powering a digital strategy for the next decade – how can healthcare providers harness this?
• Building interoperability into the healthcare data systems of the future
  
  

• Separating the hype from the reality: Machine learning and AI opportunities
• Wearables and IoT: Where does the intersect lie with data and AI?
• Activity trackers: A new opportunity for harnessing data?
• The data behind the technology: Building the layers for a secure data future

Moderator:

Graeme Hart, Chief Medical Information Officer, Austin Health and Clinical Informatics Director, Centre for Digital Transformation of Health University of Melbourne

Panellists:

Stefan Harrer, PhD, Chief Innovation Officer, Digital Health CRC Ltd.

Noel Toal, Chief Information Officer, DPV Health

Dr Timothy Fazio, Chief Medical Information Officer, The Royal Melbourne Hospital

Kerryn Butler-Henderson, Director, RMIT Digital Health Hub

Time to respond to incidents in Healthcare is more critical than any other industry, as is having accurate and thorough information to ensure correct diagnosis, and insight to deliver the highest quality care in a patient's most significant time in need.

Building a Data-Driven Culture in Healthcare has demonstrated significant outcomes and improvements in healthcare through faster, more accurate and scalable access to data.

Join us to gain insights from some leading health organisations like SA Health, NHS UK, Silver chain and others on simplifying data access and delivery.

• Journey mapping the healthcare sector: Identifying the key problems to address
• Joining the digital transformation: What are the next steps for the sector?
• Involving the end users in the industry’s digital transformation

• WEHI Australia - faster and smarter Cyro-EM and AlphaFold research for this Life Sciences Leader.
• TheraPixel - accelerating deep learning for breast cancer detection.
• Lawrence Livermore National Labs - unleashing HPC & ML to drive drug discovery.

Keynote Panel Discussion | From Medicine to Operations: Driving New Efficiencies with the Power of Data

• Staffing and personnel management: Capitalising on power of prediction
• Powering transformation: From rip-and-replace to upgraded solutions – where are the opportunities?
• Building a tech-savvy, web 3 ready workforce– what are the short-, medium-, and long-term opportunities?  Digital literacy?
• Examples of the power of data  - how it has been beneficial for patient care and care models

Moderator: 

Ajay Radhakrishnan, Director – Data & Innovation, Peninsula Health

Panellists:

Jo Hunter, Assistant Deputy Director of Pharmacy - Informatics and Supply Chain, Monash Health

Melissa Fodera, Clinical Excellence Lead- Medication Safety (Standard 4), Patient Safety, Experience & Clinical Excellence, Austin Health

Yass Eltahir, Machine Learning Manager, Seer Medical

Sofie Karamzalis, Director Informatics, The Royal Women’s Hospital

• Empowering clinicians and GPs to access and utilise data
• The power of upskilling: Getting the buy in from the industry to engage and utilise technological opportunities
• Rethinking patient understanding: How can data help drive better clinical endpoints?

• Engaging customers in the digital transformation of their health journey
• What will the future of the patient journey look like?
• Imagining the role of technology be in future patient interactions?

From Snowflake’s genesis, our co-founders envisioned a new, seamless way for organisations to securely share and collaborate on data and analytics.

Today, we will discuss how some of our customers in healthcare have been sharing and collaborating inside and outside of their organisations.

In this session four speakers will present the cutting-edge of AI research and development in healthcare. Then they will join on stage with our moderator to discuss the data challenges and implications of the AI project.

This session will examine the impacts AI and ML can have on healthcare applications and diagnoses.

• How do we oversee models and algorithms used in healthcare?
• Observations from the national algorithm platform used in New Zealand

This session will explore how AI powered analytics can improve drug development by drawing on more in-depth patient phenotypes and the power of big data. 

In this panel our AI use case speakers will discuss their path to AI examining tools and strategies for data collection and integration, meeting governance and privacy regulations and the challenges on the path to transforming care.

Moderator:

Stefan Harrer, PhD, Chief Innovation Officer, Digital Health CRC Ltd

Panellists:

Milica Ng, Senior Director: Head of Data Science, CSL Innovation 

Hanna Suominen, Professor, Associate Director (Engagement & Impact) Australian National University (ANU)

Kevin Ross, Chief Executive Officer, Precision Driven Health 

Roslyn Vadala, Chief Privacy Officer, Cochlear

• Revolutionising health data through standardisation: the power of a common data model
• Driving new research opportunities through real-world data access

• Integrating data into healthcare strategies for more accurate decisions making
• Supporting data literacy at all quarters of the industry: Why data skills are vital from the reception staff to the clinicians to the operations teams
• Respecting the patient experience in data collection and data usage

Speakers: 

Lisa Murphy, Interim Chief Executive Officer, Stroke Foundation

Prof Dominique Cadilhac, Research lead and co-director, Stroke and Ageing Research, Monash University, and Data Custodian for the Australian Stroke Clinical Registry, Florey Institute for Neuroscience and Mental Health

• Bringing the power of data and analytics to preventative and post-care
• Preventative care: providing support before care is needed
• Finding value in data for mental health: tracking progress in the patient journey

• Building data infrastructures to collect and manage health data effectively
• Connecting technologies to deliver data excellence
• What analysis should be done to deliver clinical insights, improve patient care, and avoid harm
• The role of good data systems in improving the patient experience

Moderator:

Tam Nguyen, Deputy Director of Research, St Vincent’s Hospital Melbourne

Panellists:

Lily Liu, Director: Digital Health, Western Health

Wynona Black, Program Manager, Centre for Digital Transformation of Health, University of Melbourne

Evan Stanyer, BHx Accelerator Coordinator, Bendigo Health

• Empowering patient care and patient health understanding through EMR
• Getting the investment right: Ensuring EMR delivers on the needs of patients and the promises of an integrated health view
• Making healthcare visibility a standard and expectation for patients

Kath Feely, Chief Allied Health Information Officer, Parkville EMR

Adam Boulton, EMR Director, Royal Melbourne Hospital

• Improving patient care with informed decision-making: How data can improve insights
• What are the tools and techniques transforming patient pathways?
• Driving new efficiencies: Saving time while improving care with the power of data

• Ethics of data and AI: Principles for the healthcare industry
• Navigating the ethical requirements of obtaining and using patient data
• Interplay between regulations: Navigating regulations in privacy, healthcare, devices and more
• HL7 standards and data integration
• Data ownership in healthcare: Where does it lie and how does this impact secondary purposes?

Moderator: 

Christopher Bennett, Principal Data Scientist, Cochlear

Panellists:

Roslyn Vadala, Chief Privacy Officer, Cochlear

Dr Daryl Cheng, Clinical Informatician & Digital Health Consultant, The Royal Children’s Hospital Melbourne & Melbourne Children’s Centre for Health Analytics

Laurie Nicol, Head of Engineering, TALi Health

• Lessons learned: A how-to on overlaying AI and ML models onto legacy systems
• Dealing with big data: 19 years of data in 1 year
• Machine learning for pattern analysis

In the highly competitive age of digital transformation financial service organizations are facing accelerated urgency to improve their customer and employee experience while simultaneously reducing operating costs, and managing risk and compliance.

To meet these competing demands on their business, these organizations are racing to deploy deep learning to achieve a new competitive edge by optimizing their back office operations with intelligent document processing, personalizing their customer experience with cutting edge NLP models, and reducing fraud and risk using state-of-the-art deep learning.

AI is here and delivering new capabilities to help businesses solve large and complicated challenges. Join Bob Gaines to learn what that means for your business and how deep learning is helping organizations:

• Achieve higher compliance, faster and with lower costs • Dramatically improve Customer Experience • Reduce time to value from years to weeks

Sergio Rego is a customer engineer at SambaNova Systems where he helps clients deploy purpose-built, deep learning solutions in weeks rather than years. Sergio started his career in financial services, where he worked in strategy; active and index management; and product design and management. Sergio also served as a senior data scientist and team manager for a system integrator where he helped federal government agencies deploy ML and AI solutions.