Himss singapore 2012 clinician it leadership 2012[1]
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BUSINESS INTELLIGENCE FOR CLINICIANS AND HOSPITALS IN HEALTHCARE IT IMPLEMENTATION
PROFESSOR STEVEN BOYAGES
17TH SEPTEMBER 2012 MARINA BAY SANDS, SINGAPORE
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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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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Acquire
Process
Filter
MineRepresent
Refine
Interact
At these scales patterns are often too subtle and relationships too complex or multi dimensional to observe by simply looking at
the data.
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It helps us see the forest without getting lost in the trees.
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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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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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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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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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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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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USING DATA
GOOGLE TRENDS, GOOGLE ANALYTICS
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Facebook can predict your breakups
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Your personality can be predicted
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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The Next Level:
Health Intelligence Systems
• Definition
Responsive
Agile
Available
Flexible
Timely
Real time
Near Real time
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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• Bed Board (including LOS
enhancements)
• Ward Activity and Nursing Display
(WAND)
• eConsults
• iHandover
• Transport booking
• Infectious Diseases Alerts
• Pharmtrack
• CareFirst meetings run 3 times per week with
all senior clinical management
• Uses up to date (near real time information)
through CareFirst Dashboard – which
includes:
• Subject Area Dashboards (Patient Safety,
Mental Health, Surgery, Nursing, Costing,
ED etc.)
• Links to hundreds of pre-populated
Business Objects Reports (no
performance issues)
(a) Patient Care (b) Performance Mgmt
Mix of Patient & Performance Management tools to support patient care / flow
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The Next Level:
Health Intelligence Systems
Bed BoardWeb Based
Delivered by legacy PAS
Real Time
Predictive
ED performance
Network performance egcardiology
Load Management
Patient Placement
Length of Stay Features
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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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Year%and%Quarter
QLD,%Queensland;%NT,%Northern%Territory;%NSW,%New%South%Wales;%ACT,%Australian%Capital%Territory;%WA,%Western%Australia;%SA,%South%Australia;%VIC,%Victoria;%TAS,%Tasmania;%FBC,%Full%blood%count
Rate%per%100000%individuals
Rate%per%100000%individuals
Figure%1:%Rate%of%Services%per%100%000%for%vitamin%D%(25?hydroxyvitamin%D),%full%blood%count%(FBC)%and%bone%densitometry%by%quarter%between%2000%and%2011
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Google Analytics-Google Trends
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.