Big data analytics: Leveraging capability in healthcare

Presentation slides

The presentation slides are for the exclusive use of Big Data 2015 delegates only. 
Slides are only available from the presenters who have given consent for HISA to distribute their slides to Big Data delegates.

Tuesday 20 October 2015

Big data analytics: Leveraging capability in healthcare

7.30am Registration desk opens
9.00am Conference Official Opening
Introduction and welcome
Dr David Hansen Chair, Big Data Conference 2015
9.10am Opening address
Dr Zoran Bolevich Acting Chief Executive, Chief Information Officer, eHealth NSW
9.45am How Australia can lead the way to precision medicine
Prof Isaac Kohane Director, Centre for Biomedical Informatics, Harvard Medical School (USA) (Via Video Conference)
10.45am Q&A
Prof Isaac Kohane Director, Centre for Biomedical Informatics, Harvard Medical School (USA) (Via Video Conference)
11.00am Morning tea sponsored by HP and exhibition
1.30am Debate sponsored by Holman Webb Lawyers

Every healthcare CEO should have a KPI for how they manage and get value out of their information assets

Alison Choy Flannigan Partner, Health, Aged Care and Life Sciences, Holman Webb Lawyers

Dr Teresa Anderson Chief Executive, Sydney Local Health District; Kathy Campbell Director, Ockham Consulting; Dr Michael Costello Director Innovation, Strategy and Architecture, eHealth NSW; Dr George Margelis Health and Life Sciences Lead, Intel Australia; A/Prof Karin Verspoor Department of Computing and Information Systems, University of Melbourne; A/Prof Trish Williams School of Computer and Security Science, Edith Cowan University

12.40pm Lunch sponsored by HP and exhibition
1.40 – 3.10pm Masterclass 1
Data analytics
Actionable healthcare insight from structured and unstructured data
Dr Alan Stein Practice Lead, HP Software, Big Data

HP Healthcare Analytics solution enables self-service analytics on a wide range of structured and unstructured healthcare data. Come and learn how the tool allows a variety of manipulations to be performed on data from EMR and medical IT systems including clinical narratives.
Masterclass 2
Big data tools
Introducing the Cloudera Enterprise Data Hub
Kunal Taneja Senior Systems Engineer, Cloudera

Cloudera’s Enterprise Data Hub is a transformative solution that makes it economical and technically feasible to keep up with modern data by storing and managing it in a single system, regardless of its format or access patterns. Join this session to understand more about the Enterprise Data Hub architectural pattern and how it applies to the next generation health industry initiatives.
3.10pm Afternoon tea and exhibition
3.40 – 5.10pm Masterclass 3
Statistical analysis
Introduction to R
Norm Good Statistician, CSIRO

R is a suite of software facilities for reading and manipulating data, computation, conducting statistical analysis and displaying the results. A programming environment for data analysis and graphics. A platform for the development and implementation of new algorithms and hence technology transfer. This is a hands on course where you do most of the driving through the use practical examples provided.
Masterclass 4
Data visualisation
See the whole story with next generation visual analytics
Yang Yang Senior Solution Architect, Qlik

Qlik Sense is a next-generation visual analytics platform that empowers everyone to see the whole story that lives within your data. Join this session to learn how to move on from the tyranny of manual Excel data mashing to truly realise the value in your data.
5.10pm Day one concludes
5.10 – 6.10pm Networking Reception sponsored by Intel Australia

Wednesday 21 October 2015

Big data analytics: Leveraging capability in healthcare

8.00am Registration desk opens
9.00am How to build a healthcare data analytics team
Elizabeth Montague Bioinformatician, Seattle Children’s Hospital (USA)
9.40am Bringing big data to the bedside
Dr Veena Goel Clinical Informatics Fellow, Stanford University School of Medicine (USA)
10.10am Population scale clinical genome sequencing
Dr Warren Kaplan Chief of Informatics, Kinghorn Centre for Clinical Genomics and the Garvan Institute of Medical Research
11.40am Morning tea and exhibition
11.10 – 12.30pm Concurrent 1
Population health Chair: Dr Paul Cooper
Concurrent 2
Convergence medicine Chair: Norm Good
11.10am GIS analysis of environmental, socio-demographical and behavioural risk factors for Algoma nurse practitioner patients with chronic disease
Dr Nicola Shaw and Suzanne McGuire Algoma University (CANADA)
Analysing delays between time course gene expression data and biomarkers
Jasmin Straube QFAB Bioinformatics, Institute for Molecular Biosciences and CSIRO, Dr Anne Bernard QFAB Bioinformatics, Institute for Molecular Biosciences, Dr Bevan Emma Huang CSIRO and Dr Kim-Anh Le Cao The University of Queensland Diamantina Institute
11.30am Using de-identified demographic data to inform telehealth service design
Phillip Greenup Queensland Health, A/Prof Clément Levallois EMLYON Business School (France) and Boyd Potts Australian Institute for Suicide Research and Prevention
Improving conventional prognosticators in diffuse large B cell lymphoma using marker ratios
Dr Kim-Anh Le Cao The University of Queensland Diamantina Institute, Dr Colm Keane, The University of Queensland Diamantina Institute Erica Han The University of Queensland Diamantina Institute, Dipti Talaulikar Canberra Hospital and Australian National University Medical School and Prof Maher Gandhi The University of Queensland Diamantina Institute and Princess Alexandra Hospital
11.50am Assessing the performance of American chief complaint classifiers on Victorian syndromic surveillance data
Dr Bahadorreza Ofoghi and A/Prof Karin Verspoor University of Melbourne
VariantSpark: Applying Spark-based machine learning methods to genomic information
Aidan O’Brien and Dr Denis Bauer CSIRO
12.10pm HealthStats NSW, turning data into user-centred population health information
Dr Michael Nelson, Helen Moore, Rhydwyn Mcguire, Danushka Fox and Mark Cerny Centre for Epidemiology and Evidence, NSW Ministry of Health
Experiences in implementing large-scale biomedical workflows on the cloud:Challenges in transitioning to the clinical domain
Sehrish Kanwal, A/Prof Andrew Lonie, Prof Richard Sinnott, University of Melbourne and Charlotte Anderson Victorian Life Sciences Computation Initiative, The University of Melbourne
12.40pm Lunch sponsored by HP and exhibition
1.30 – 2.45pm Concurrent 3
Health services and practice based evidence Chair: Dr Sankalp Khanna
Concurrent 4
Patient analytics and clinical decision making Chair: A/Prof Karin Verspoor
1.30pm Measuring outcomes clearly: Overcoming challenges of mental health and chronic disease reporting
Vikas David Global Health
Defining healthcare data: Implementation of a metadata registry in a large health service
Dr Sharon Hakkennes, Ross Arblaster and Peter Ellenby Barwon Health
1.45pm Big data study for coping with stress
Dr Denny Meyer, Dr Jo-Anne Abbott and Dr Maja Nedejkovic Swinburne University of Technology
Evaluating classification power of linked admission data sources with text mining
Dr Simon Kocbek RMIT University, A/Prof Lawrence Cavedon RMIT University, Dr David Martinez University of Melbourne and (USA), A/Prof Christopher Bain Alfred Health and Monash University, Chris Mac Manus Monash University, Assistant Prof Gholamreza Haffari, Monash University, Prof Ingrid Zukerman Monash University, A/Prof Karin Verspoor University of Melbourne
2.00pm Predictive risk stratification for chronic disease management in Spain
Pablo Borras Accenture and Dr Bernardo Valdivieso Hospital Universitari i Politècnic La Fe, Valencia (Spain)
Big text analytics – a services model
Prof Jon Patrick, Dr Min Li and Pooyan Asgari Health Language Analytics
2.15pm Healthcare asset management service delivery using 5-S methodology using data analytics
Sanjeev Hiremath Pacific Technical Assistance Mechanism and Yoga Shanmugarajah AIM Medical
HealthMap – the opportunities of data
Gabrial Gossage Healthdirect Australia
2.30pm Transfusion did not prevent complications of scheduled surgery in California hospitals during 2012-13
Dr Peter McNair Palo Alto Medical Foundation for Research Institute (USA) and A/Prof Terri Jackson University of Melbourne
2.45pm Afternoon tea and exhibition
3.15pm Improved health outcomes as a result of identifying medication-related problems through analytics
Prof Libby Roughead Research Professor, University of South Australia
3.45pm Using data for building quality and safety at the health system level
Prof Enrico Coiera Director, Centre for Health Informatics, Australian Institute of Health Innovation
4.25pm Thank you and closing remarks
Dr David Hansen Chair, Big Data Conference 2015
4.40pm Conference concludes