Post on 01-Nov-2014
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The Changing Face of Therapeutics: The role of eHealth, Big Data and
Business Intelligence
Professor Steven C. Boyages
Medical Director
eHealth NSW
Top Trends in eHealth
• Electronic Health Records
• Business Intelligence
• Big Data and Analytics
• Apps for Health
• Social Media and Social Business
• Mobility
• Virtualisation
High TouchHigh
Tech
Team and Workflow
Platform
Technology
Platform
Health work is a balanced matrix
Health ecosystem
E Health records
Maturity model
Benefits Estimate
Deloitte Consulting has estimated that an investment of $2.6 billion over 10 years in EHealth in Australia will yield a benefit of $5.7 billion in net present value over 10 years
The main source of benefit is derived from time saved related to manual information handling and a reduction in avoidable hospital days related to adverse events.
Additional benefits are also seen in the areas of improved chronic disease management, reduced unnecessary repeat testing and reduction in travel.
Benefits estimate
Building on Foundations
Registries Big Data
Big Data
• 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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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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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.
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It helps us see the forest without getting
lost in the trees.
USING DATA
Google trends, Google analytics
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Google Trends Michael Jackson
6/8/2012 24©2011 Healthcare Information
and Management Systems Society
Google flu trends
6/8/2012 25©2011 Healthcare Information
and Management Systems Society
Facebook can predict your breakups
6/8/2012 26©2011 Healthcare Information
and Management Systems Society
Your personality can be predicted
6/8/2012 27©2011 Healthcare Information
and Management Systems Society
Eating Habits
Google Trends
We need to embrace social media
Health Intelligence:
Keeping Score in Health
31
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
32
Bed Board Web Based
Delivered by legacy PAS
Real Time
Predictive
ED performance
Network performance egcardiology
Load Management
Patient Placement
Length of Stay Features
33
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6/8/2012 35©2011 Healthcare Information
and Management Systems Society
6/8/2012 36
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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Google trends for vitamin D
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Google Analytics-Google Trends
Summary
• Benefits of e Health
• PCEHR
• Benefits to clinical research
• Big Data
• Business Intelligence
• Analytics