The document discusses emerging trends in eHealth, including electronic health records, big data, business intelligence, and mobile applications. It estimates that investing in eHealth in Australia could yield $5.7 billion in benefits over 10 years from time savings, reduced hospital days, and improved chronic disease management. The use of big data and analytics can help detect patterns in vast amounts of digital information from various sources to gain insights into public health, research, and patient care.

1. The Changing Face of Therapeutics:
The role of eHealth, Big Data and
Business Intelligence
Professor Steven C. Boyages
Medical Director
eHealth NSW

2. Top Trends in eHealth
• Electronic Health Records
• Business Intelligence
• Big Data and Analytics
• Apps for Health
• Social Media and Social Business
• Mobility
• Virtualisation

3. Health work is a balanced matrix
High
High Touch
Tech
Team and
Technology
Workflow
Platform
Platform

4. Health ecosystem

5. E Health records

6. Maturity model

7. 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.

8. Benefits estimate

9. Building on Foundations

13. Registries Big Data

14. 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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15. 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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16. Nearly every transaction or
interaction leaves a data signature

17. Someone somewhere is capturing and
storing

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

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

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

21. It helps us see the forest without getting
lost in the trees.
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22. USING DATA
Google trends, Google analytics
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23. Google Trends Michael Jackson
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24. Google flu trends
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25. Facebook can predict your breakups
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26. Your personality can be predicted
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27. Eating Habits
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28. Google Trends

30. We need to embrace social media

31. Health Intelligence:
Keeping Score in Health
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32. 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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33. 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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35. ©2011 Healthcare Information
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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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37. Google trends for vitamin D
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38. Google Analytics-Google Trends
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39. Summary
• Benefits of e Health
• PCEHR
• Benefits to clinical research
• Big Data
• Business Intelligence
• Analytics