1. BUSINESS INTELLIGENCE FOR CLINICIANS AND
HOSPITALS IN HEALTHCARE IT IMPLEMENTATION
PROFESSOR STEVEN BOYAGES
17TH SEPTEMBER 2012
MARINA BAY SANDS, SINGAPORE

2. Summary
• 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.
• Big data describes the way we deal with the astonishing
accumulation of digital information which is often stored in
large unstructured data repositories.
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3. Hormone Intelligent Systems
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5. Acquire
Interact Process
Refine Filter
Represent Mine
In his book Ben Fry describes a seven stage process for understanding data:
Visualising Data: Exploring and Explaining Data with the Processing Environment
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6. Nearly every transaction or interaction
leaves a data signature

7. Someone somewhere is capturing and
storing

8. Sheer scale has far exceeded human sense-making capabilities

9. At these scales patterns are often too subtle and relationships
too complex or multi dimensional to observe by simply looking at
the data.

10. Data mining is a means of automating
the process to detect interpretable
patterns.

11. It helps us see the forest without getting lost in the trees.
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13. Algorithms
• When it comes to algorithms, “if I can do a power grid, I can
do water supply,” said Steve Mills, I.B.M.’s senior vice
president for software and systems.
• Even traffic, which like water and electricity has value when it
flows effectively, can reuse some of the same algorithms.
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14. Looking for patterns
• 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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15. 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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16. Potential areas for use
• MGI studied big data in five domains—healthcare in the United States, the public sector in Europe,
retail in the United States, and manufacturing and personal-location data globally. Big data can
generate value in each.
• For example, a retailer using big data to the full could increase its operating margin by more than 60
percent.
• If US healthcare were to use big data creatively and effectively to drive efficiency and quality, the
sector could create more than $300 billion in value every year.
• Two-thirds of that would be in the form of reducing US healthcare expenditure by about 8 percent.
• In the developed economies of Europe, government administrators could save more than €100
billion ($149 billion) in operational efficiency improvements alone by using big data, not including
using big data to reduce fraud and errors and boost the collection of tax revenues.
• And users of services enabled by personal-location data could capture $600 billion in consumer
surplus. The research offers seven key insights.
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17. Five broad areas in which big data can create value
• 1. Big data can make information transparent and usable at
much higher frequency
• 2. As organizations create and store more transactional data in
digital form, they can collect more accurate and detailed
performance information on everything from product
inventories to sick days, and therefore expose variability and
boost performance.
• (Using data for basic low-frequency forecasting to high-
frequency nowcasting to adjust their business levers just in
time)
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18. Five broad areas in which big data can create value
• 3. Big data allows ever-narrower segmentation of customers
and therefore much more precisely tailored products or
services.
• 4. Sophisticated analytics can substantially improve decision-
making.
• 5. Big data can be used to improve the development of the
next generation of products and services. Eg data obtained
from sensors embedded in products
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19. USING DATA
GOOGLE TRENDS, GOOGLE ANALYTICS
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20. Google Trends Michael Jackson
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21. Google flu trends
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22. Facebook can predict your breakups
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23. Your personality can be predicted
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24. Eating Habits
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25. 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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26. How the internet can read your mind

27. Health Intelligence:
Keeping Score in Health
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28. Analogue Scoreboards
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29. The Next Level:
Health Intelligence Systems
• Definition Capability
Patient Care
 Responsive  Safety
 Agile  Decision support
 Available  Outcomes Research
 Patient Logistics
 Flexible Performance Management
 Timely  State
 Real time  Area based
 Near Real time  Hospital/cluster/network
 Modality (scheduling)
 Bedside
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30. Mix of Patient & Performance Management tools to support patient care / flow
The Next Level:
Health Intelligence Systems
(a) Patient Care (b) Performance Mgmt
• Bed Board (including LOS • CareFirst meetings run 3 times per week with
enhancements) all senior clinical management
• Ward Activity and Nursing Display • Uses up to date (near real time information)
(WAND) through CareFirst Dashboard – which
• eConsults includes:
• iHandover • Subject Area Dashboards (Patient Safety,
• Transport booking Mental Health, Surgery, Nursing, Costing,
• Infectious Diseases Alerts ED etc.)
• Pharmtrack • Links to hundreds of pre-populated
Business Objects Reports (no
performance issues)
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31. Bed Board
Web Based
Delivered by legacy PAS
Real Time
Predictive
ED performance
Network performance eg
cardiology
Load Management
Patient Placement
Length of Stay Features
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32. Bed Board: Length of Stay and Inter-hospital Transfer
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37. Table 2: Annual benefit paid by Medicare for
25-hydroxyvitamin D testing and percentage
increase since 2000
Year Annual Benefit ($) % Increase
2000 1,021,784 100%
2001 1,670,597 163%
2002 2,318,770 227%
2003 3,216,543 315%
2004 5,269,951 516%
2005 7,592,467 743%
2006 12,149,112 1189%
2007 22,621,733 2214%
2008 42,358,509 4146%
2009 67,643,016 6620%
2010 96,746,203 9468%
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38. Figure% Rate% Services% 100% for%
1:% of% per% 000% vitamin% (25?hydroxyvitamin% full%
D% D),% blood%
count%
(FBC)% bone%
and% densitometry% quarter%
by% between%
2000% 2011
and%
individuals
individuals
Rate% 100000%
Rate% 100000%
per%
per%
Year% Quarter
and%
QLD,%
Queensland;% Northern%
NT,% Territory;%
NSW,%
New%
South%
Wales;%
ACT,%
Australian%
Capital%
Territory;% Western%
WA,% Australia;% South%
SA,% Australia;% Victoria;%
VIC,% TAS,%
Tasmania;%
FBC,% blood%
Full% count
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39. Google Analytics-Google Trends
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40. Google trends for vitamin D
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41. Business Intelligence and 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.

43. THANK YOU
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