And nowhere is AI more attractive than in healthcare; the potential it has for treatment and diagnosis is nearly limitless. In many ways, that makes sense; healthcare is an incredibly broad subject, full of highly complex subject matter that is changing rapidly with new technological advances. So, like the ancient Greeks seeking wisdom at Delphi, we hope AI will help see the future and allow us to make the right decisions on care. But lost in the AI and machine learning healthcare gold rush is the immutable law of computing: Garbage in, Garbage Out. That is, computers are only as good as the data that is input. When you train AI on biased data, you obviously get biased outputs. Put very simply, you cannot perform deep learning, machine learning or leverage artificial intelligence on data that is either non-existent or incorrect.

1. Garbage In, Gospel Out?
Todd Winey
Senior Advisor, InterSystems
December 14, 2017

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In ancient times, the oracle was a way to know the unknown.

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In our modern culture, computers and technology have become the new oracles

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Today, the new oracles are algorithms of artificial intelligence, machine learning
and deep learning.

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Like the ancient Greeks who sought wisdom in Delphi, we hope that AI will help
to see the future and enable us to make the right decisions about health care.

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The Immutable Law of
Computing:
Garbage In, Garbage Out

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Deep learning, machine learning, or artificial intelligence can not work with nonexistent or
incorrect data.

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To quote Pedro Domingo from The Master Algorithm, "People are
worried that computers are becoming too smart and invading the
world, but the real problem is that they are too stupid and they have
already invaded the world."

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For many organizations, the
hope of easy answers creates
the most serious consequence
we have seen with early AI and
machine learning:
"Garbage in, Gospel out".

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Unfortunately, we know in life,
there are no easy answers.

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Mr. Babbage, if you put wrong numbers in the machine, are the
correct answers coming out?

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What should a thoughtful
organization do to take
advantage of AI and machine
learning and improve health
care?

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1. Do not create an AI strategy by Press Release

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1. Do not create a strategy by Press Release

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Do Not Lock yourself in to a single solution

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2. Treat AI technologies as the student and not the master

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2. Treat AI technologies as the student and not the master
Like a 2 year old who is learning to
talk, walk and interact with the world.

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Treat AI technologies like the neophytes they are and establish the right
conditions for them to learn.

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3. Plan your data strategy – there is no substitute for good data
AI does not provide a shortcut to magical outputs based on bad data.

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3. Plan your data strategy
AI relies heavily
on gigantic
amounts of data

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The right strategy in healthcare means a way to manage ALL your data

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Go beyond your electronic health records and
data warehouses

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The key factors for the success of Big Data applications

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InterSystems IRIS Data Platform
InterSystems IRIS is a high-
performance, “cloud-first”
platform that scales up and
out, and integrates with
other technologies faster.

25. Innovative
partner
solutions

26. Thank you.

27. Better Care. Connected Care.