Daniel Ghinn's presentation at DIA 8th Annual European Medical Information and Communications Conference explores the use of big data in medical information...

1. How big data
is transforming
medical information
insights
Daniel Ghinn
CEO, Creation Healthcare

2. Disclaimer
The views and opinions expressed in the following PowerPoint slides
are those of the individual presenter and should not be attributed to
Drug Information Association, Inc. ( “ DIA ” ), its directors, officers,
employees, volunteers, members, chapters, councils, Special Interest
Area Communities or affiliates, or any organisation with which the
presenter is employed or affiliated.
These PowerPoint slides are the intellectual property of the individual
presenter and are protected under the copyright laws of the United
States of America and other countries. Used by permission. All rights
reserved. Drug Information Association, DIA and DIA logo are
registered trademarks or trademarks of Drug Information Association
Inc. All other trademarks are the property of their respective owners.
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3. Disclosure Statement
Please note that DIA is not requesting a numerical amount to be entered for any
disclosure, please indicate by marking the check box, and then providing the company
name only for those disclosures you may have.
Type of Financial Interest within last 12 months Name of Commercial Interest
 Grants/Research Funding
 Stock Shareholder CREATION HEALTHCARE
 Consulting Fees
 Employee CREATION HEALTHCARE
 Other (Receipt of Intellectual Property
Rights/Patent Holder, Speaker’s Bureau)
Will any of the relationships reported in the chart above impact your ability to present an
unbiased presentation? No
In accordance with the ACPE requirements, if the disclosure statement is not completed or returned, participation in this activity
will be refused.
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4. Big Data?
BSiligd ed atittale? in Arial 20 pts
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5. Slide What title does in it Arial mean?
20 pts
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6. Slide title in Arial 20 pts
Where is the data?
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7. Slide title in Arial 20 pts
Behavioural data
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8. Apple, Google ‘Big Data’ for Health Analytics?
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9. Public social media: Healthcare professionals
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10. Where’s the signal in the noise?
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11. Place
Multi-dimensional data analysis
Roles
Topics & issues
Time
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12. Data technique 1:
Language processing

13. Data technique 2:
Geolocation

14. Data technique 3:
Personally Identifiable Information - Roles

15. Data technique 4:
Time

16. Big data = big problems?
“There are a lot of
small data problems
that occur in big data.
They don’t disappear
because you’ve got
lots of the stuff.
They get worse.”
David Spiegelhalter
Winton Professor of the Public Understanding of Risk at Cambridge University
Image: University of Cambridge. Used under Creative Commons license.
Source: http://www.cam.ac.uk/news/improving-the-public-understanding-of-mathematics-and-science
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17. NLP & machine learning
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18. Human analysts vs automation?
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19. Some logic is difficult for computers
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20. Some logic is difficult for computers
“While hunting in Africa,
I shot an elephant
in my pajamas.
How he got into
my pajamas,
I don't know.”
From the Groucho Marx movie,
Animal Crackers (1930)
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21. Some logic is difficult for computers
Anyone using K for stable AFib?
never used ket in stable...
need to be daring and try!!!
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22. Getting started
Where will you find data?
• Data you know you have
• Data you don’t know you have
• Data that’s yours if you look
Language
Location
Personally Identifiable Information
Time
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23. Who has the questions?
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