Keynote delivered at the 4th Hdealthcare innovation conference 27-28th March 2013

1. PROFESSOR STEVEN BOYAGES
S T E V E . B O Y A G E S @ G M A I L . C O M
S I N G A P O R E M A R C H 2 8 T H 2 0 1 3
The big data challenge in healthcare and
how can business intelligence best drive
for critical decision support

2. Summary
 Big data describes the way we deal with the astonishing
accumulation of digital information which is often stored
in large unstructured data repositories.
 New tools such as business intelligence (BI) have
emerged to organise and interpret this vast array of
information with benefits in public health, research,
patient care and hospital operational systems.
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© Professor Steven Boyages

3. Big Data
 Nearly every transaction or interaction leaves a data signature
 Someone somewhere is capturing and storing
 Sheer scale has far exceeded human sense-making capabilities
 At these scales patterns are often too subtle and relationships
too complex or multi dimensional to observe by simply looking
at the data.
 Data mining is a means of automating the process to detect
interpretable patterns.
 It helps us see the forest without getting lost in the trees.

4. Big Data
 Intelligent
 Instrumented, ability to measure things eg RFID devices
 Interconnected
 Captured at machine speed
 A380 1 billion lines of code, each engine generates 10TB
data every 30 minutes, 640 TB on a flight
 Energy utility services
 Location based services
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5. Looking for patterns when combined with
analytics
 The trend of looking for commonalities and overlapping
interests is emerging in many parts of both academia and
business.
 At the ultra small nanoscale examination of a cell, researchers
say, the disciplines of biology, chemistry and physics begin to
collapse in on each other.
 Online marketers look at your behaviour in a number of
contexts to sell you something you may not even know you
wanted.
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6. Using Data
S O C I A L M E D I A , G O O G L E T R E N D S , G O O G L E
A N A L Y T I C S
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©2011 Healthcare Information and Management
Systems Society
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©2011
Healthcare
Information
and
Management
Systems Society
Your personality can be predicted

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©2011
Healthcare
Information
and
Management
Systems Society
Eating Habits

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Facebook can predict your breakups

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Google Trends Michael Jackson

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Google flu trends

12. Health Intelligence:
Keeping Score in Health
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13. Analogue Scoreboards
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14. Business Intelligence Systems
 Allows leveraging of existing investment in legacy systems
 Integrate patient level and performance level information
 Allow Flexibility and Agility
 Real Time, Predictive and Instinctive
 Rapid development
 Culture
 Governance
Copyright Not for Reproduction 2010

15. Real Time Health Systems
Definition
 Responsive
 Agile
 Available
 Flexible
 Timely
 Real time
 Near Real time
 Predictive
 Forecasting
Capability
 Patient Care
 Safety
 Decision support
 Outcomes Research
 Patient Logistics
 Performance Management
 State
 Area based
 Hospital/cluster/network
 Modality (scheduling)
 Bedside
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16. Layers of information
Clinical
Unit
Enterprise
Hospital,
Region,
Network
Ward
Patient
Patient
Ward Patient

17. 17
Enterprise Level

18. Bed Board: Length of Stay and Inter-
hospital Transfer
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©2011 Healthcare
Information and
Management
Systems Society

21. New methods of scientific inquiry
 While it is attractive to contemplate the way everything
may become connected to everything else, it presents a
number of large challenges.
 The lab research model has been important for over a
century in both scientific advancement and product
development; soon it may also have to accommodate a
search for truth based only on pattern-spotting.
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©2011 Healthcare Information and Management
Systems Society

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©2011 Healthcare
Information and
Management
Systems Society

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©2011 Healthcare
Information and
Management
Systems Society

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©2011
Healthcare
Information
and
Management
Systems Society
Google Analytics-Google Trends

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©
Professor
Steven
Boyages
It helps us see the forest without getting lost in the trees.

27. Improved
automation
Improved
productivity
Reduced
duplication
Improved
safety
Improved
patient and
staff
experience
Improved
reach of
information
and service
Workflow
Competency
and Training
Functionality
Procurement and
Implementation
Connectivity Standards
Governance
IT system