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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