ce bit big data 2012 leif hanlen, director of ehealth business team, nicta
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Director, Health Business Team
NICTA
Leif Hanlen
Big data
What does it m
ean for
healthcare?
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“Current medical practice relies
heavily on the unaided mind to
recall a great amount of detailed
knowledge – a process which, to
the detriment of all stakeholders,
has repeatedly been shown
unreliable”
Crane and Raymond
The Permanente Journal
Winter 2003 Volume 7 No.1
Kaiser Permanente Institute for
Health Policy
Who is NICTA?∗ Australia’s ICT research center of excellence
∗ Making fundamental advances in ICT that can underpin the development of globally competitive products, processes and services.
∗ Contributing skills and outcomes that are changing the profile of our ICT industry.
∗ 700 people (300 research staff)
∗ 5 laboratories
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Transforming innovative technologies
to advance the understanding of
human diseases and to improve the
health and well being of Australians
Where does the data come from?
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Genomics
1 Tb per person
20% population
Implants
1 Tb per person per hour
10% population
Clinical notes analysis
1Mb per person per day, 95% population
Wearables
1 Mb per person per day
50% population
Proteomics
100 Tb per person
10% population
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Meet the next Chief Information Officer.
This is her office:
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Health data (old)
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Design systemPredict queries
Hope
Health data (old)
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Lots of data stores, no interoperability
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Innovation community
Cluster analysis for
enterprise
Keep the data, use it better
∗ Secure data, application and storage service
∗ All algorithms ARE data
∗ Input, and output securely stored
∗ Analytics as a service
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How to run the cluster? Epicure
Smart health space challenge: Build a 20-bed hospital
∗ Health systems suffer from 20:80 rule
∗ 20% of the “work” occupies 80% of the workforce (acute care)
∗ 80% of the “work” is only given 20% of the funds (chronic, aged, community)
∗ Better use of information is the only solution
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Secure data, real time, useful.
∗ Based on middle-ware, operates in each GP office
∗ Middle-ware ensure openness and security
∗ Big data in the harvesting and then parallel analysis of records
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Old vs new
∗ IT solutions in-house or procured
∗ Data never leaves
∗ Security by lock down
∗ National innovation applied locally
∗ IT solutions by community with in-house evaluation
∗ Data secure, effectively open
∗ Innovation local, grows national
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Social TV: content recommendation
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Clinical Information Processing
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Automatic analysis of
fungal outbreaks
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Specialist notes
Alerts, and
prompts
∗ Hospital acquired infections∗ Difficult to detect, need meta data
∗ Problem: Huge cost per year∗ 1000 hospital deaths per annum
∗ $100m per year since 2004
∗ Aspergillosis is most common IFI:∗ Cost an extra $79k per patient
∗ Extra 8 days in hospital
∗ Testing with multiple Health partners
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Participatory medicine: social impact
NATIONAL E-HEALTH LIVING LABORATORYInteroperability, technology adoption, community care
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Embedding ICT in the next generation’s workflow
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2-Storey GP super-clinic
Teaching Clinics + Lab
New Health precinct
What & why?
∗ Demonstrate ICT in-situ (not in research office)
∗ Real problems: engage clinicians early and often
∗ Data interoperability: big-data is your friend….
∗ Developer community: virtual
∗ Vendors, SME’s, researchers, clinicians, government (state + federal)
∗ Many partners, including internationals
∗ Teaching and clinical training with ICT embedded
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Interacting with the new Health
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∗ Our ambition: systemic change for health analysis
∗ Partnerships welcome
∗ Website:
∗ nicta.com.au/business/health/e-health
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