[Music]
thank you my name is wouter I kiss
am one of the founders of picnic
and it does not happen as often as I do
my mother is allowed to present
no at all for such a young audience
that we certainly in this outboard bracket
the coeur looks like this and with whole
I will tell you a lot of fun tonight
how we deal with pitch with care
more personal and smarter to the
hand of analysis of huge quantities
data to my final exams
I first started studying medicine
I learned you very complex there
the human body is one I have five
year in utrecht in the hospital
worked and seen in what
circumstances doctors and decisions
have to make
after that I am going to study logic there
I have the foundations of mathematics and
the computer sciences and
discovered it difficult to be sure
know if something is really true
after my studies I have with willem and
hidde who were here eight years ago
has done graduation attended
the national think tank I have with
twenty young scientists
all with different backgrounds
and a lot of energy for four months
long researched how we the Netherlands
to be able to make healthier by using
data and from this think tank we are with
the three of them got started in the same
order as my music short
career I am going to tell you how we are
think that we are just with pitch
can make sure that patient is up
receive customized care
to begin with is the human body
so it is incredibly complex every patient
unique
the human body has a DNA
blueprint of 20 50 million letters
consists of 100 billion cells many
organs thousands of fabrics and processes
all of them continuously on each other
influence we already know a lot
about how the human body works and
we understand disease better and better
knowledge about which patients
which walk really is the desired
effect is still very limited
my love half of the treatments
currently in use is none
scientific substantiation that this
medicines really the desired effect
and effectiveness of the other
treatments are based on research
involving only him in the results
are used and where tess very small
patient group participated
the patients who participate in this
research are often young white men
like me
who have no other conditions that
Do not take any other medicines
so that just the older patients are in
the patients receiving multiple treatments
use it that is difficult to treat
and there are many
in the Netherlands alone we already have 5.3
million patients with one or more
chronic illness and there are in it
the Netherlands half a million patients
older than 75 in more than five medications
swallow at the same time
in addition, scientific research
also not always reliable as one
treatment for example none or none
has a clear effect
you are often not published and
commercial interests can benefit
ensure that treatments have other effects
have in practice than in the
research the case i
and then it also takes another 17 years
that result from science in the
practice is implemented
doctors obviously have no
access the right information on it
right moment
but there are still huge further
scientific knowledge that almost does not
to keep up with him is just as well
are also many questions on so
daily in practice with that
Anyway practically impossible with
Scientific studies can
reply
which of the dozens of antidepressants
for example, you can prescribe west
in the one patient where you are that we
others have tried the treatment but
who did not succeed
and what is the best dosage for this
heart patient who also have kidney problems
and has many other medications
swallows or what is the best time to the
rheumatism walk down to the patient
build and have for this
prostate cancer patient
really true if we are also on
irradiate
again doctors do not have access to it
the right information at the time
they have to make difficult decisions
to make
but the most shocking and the most to
understood to be adjustable in the meadow
backpack me that we are nothing at the moment
learn from all that time a doctor
such a difficult decision makes
luckily we are now living in the digital
era where doctors and patients
everything they do is becoming more digital
getting information
and we are convinced at pec
that we have all this digital information
due to the increasing possibilities for this
analyze it to make sure that
doctors
every decision they take to
take on the basis of thorough and customized
made proof and that every time as one
doctor’s decision makes all his
colleagues can also learn from this
at pec with we make
decision support software
based on analysis of all patients
including the millions of chronic women
sick older children
predict the expected outcomes
are from those of the
tire options for that specific
patient at the bed or in the consulting room
we make this software the our team
consists of people with years of
experience with data analysis in the
science or business together
with doctors and patients on these dates
to get started
an important group of analysis techniques
that there are days that we use
is called machine learning and with
machine learning is possible
let computers connect in data
discovering that the man notes
I will try to get you out
explain what machine learning is at the
hand of the example of writing
of a computer program that can
you would play chess with classical techniques
can try to be a programmer one
program to write that for
all possible occupations of it
chess is exactly telling which move
the best is but chess is terrible
complex game it is never
succeeded in doing so to good
computer programs to come on this
the same way it has been in recent years
tried to make software the care
for example, a guide
programmed for all
patients
exactly tells all that possible unique
tells patients exactly which
treatments which dosage the best
but these expert systems like that
are often not mentioned
the complexity in the variety of the
patients who are doctors to you
have in the consulting room and these systems
therefore could never use it
count but with machine learning the
chess computer
then learn from data which set the
most likely to have ultimate
profit at the beginning is often still the case
very bad
but a computer can be billions
play games and all that
games you can learn which move
which situation is best with the
increasing possibilities for data
Analyzing succeeded 20 years ago
for the first time the world champion
to defeat chess
it is even two years ago
succeeded by google to the complex
game to join the world champion
defeat
but what we find most interesting
find
is that if you are an amateur link
gives access to a too simple sheep
computer program that he both winds from
the world champion as of the best
chess computer
and in healthcare we think the
doctor’s involvement much more
essential
chess is different on a number
ways of treating yourself enormously
patients
the sheep computer can have endless data
and in that act that’s all you
of the chess game you must know and
all deeds are always accurate
registered the same way
it is also clear from the date
see if a chess game you succeeded
or not
in healthcare we have to do with the data
the practice is collected in these data
is not all that a doctor
thinking between decisions is that long
not everything that may affect the
effectiveness of a treatment on it
not always everything registered and
certainly not in the same way and
it is quite difficult to get out of their dates
to lead or walk to success
has been successful or not it
can also be very different
per patient
what kind of treatment really
contributed what results from one
treatment really contributed to one
higher quality of life
it is only possible for us
with machine learning from where to be in
care by cooperating very closely
with doctors both in the development of
the software as in the use of the
software in practice at the
development of the software we speak
weekly with doctors to understand
how the data that wants to use is established
has come
what is missing from what the
results that we mean and mean
to derive from the data when
treatment or can not successfully
used to be
in practice , the software can
of us only of value for
patients
because doctors get the results from us
can interpret and that together with
patients
the treatment can choose it
best suits their needs and consciously
bios personal situation
we started in general practice
there we developed software that
GP supports the choice of
treatments for bladder infections
this we have done data of 52,000
Patients and sweet 160 characteristics
the development of the software
we that we especially added a lot
value we were elderly patients
patients who already have multiple treatments
who had not worked and
in men
and these are exactly
research groups
where very little
scientific knowledge about wax
this software of your by 116 GPs
and we are very happy with
the use and behavioral change that
we see the next step in practice
for us in the huizer to care now is it
developing software for many
common chronic disease
such as baskets of high blood pressure
diabetes on copd
but we are now also active in the
hospital care we make on intensive
care software that support physician with
safely releasing patients from the
intensive care to the nursing ward
your then of analysis of 25,000
patients
including data from we do not have
to assess heart rate and blood pressure
what the chance is that a patient would come
to die
if you are discharged from intensive
care on what the chances are that he will be again
he recorded but also in the
hospital care now active with it
treating patients with cancer
heart disease
in psychiatry and we are software
developing that support
mapping
which patients actually do with
rush to the GP or to the
emergency route
at this moment we only have
data used in the
general practice or in hospitals
but a tsunami of data coming in
the care
patients are collecting more and more data
then from wearables apps at home measurements and
in the hospital, data is collected
from out and mary’s
dna profiles and who knows what is still there
more comes
our dream backpack with is to be sure
ensure that all these data come together the
doctor and patient to ensure that
patients only have treatments
get them actually going
help out
thank you
[Applause]
[Music]
[Applause]
[Music]
[Applause]
[Music]
thank you my name is wouter I kiss
am one of the founders of picnic
and it does not happen as often as I do
my mother is allowed to present
no at all for such a young audience
that we certainly in this outboard bracket
the coeur looks like this and with whole
I will tell you a lot of fun tonight
how we deal with pitch with care
more personal and smarter to the
hand of analysis of huge quantities
data to my final exams
I first started studying medicine
I learned you very complex there
the human body is one I have five
year in utrecht in the hospital
worked and seen in what
circumstances doctors and decisions
have to make
after that I am going to study logic there
I have the foundations of mathematics and
the computer sciences and
discovered it difficult to be sure
know if something is really true
after my studies I have with willem and
hidde who were here eight years ago
has done graduation attended
the national think tank I have with
twenty young scientists
all with different backgrounds
and a lot of energy for four months
long researched how we the Netherlands
to be able to make healthier by using
data and from this think tank we are with
the three of them got started in the same
order as my music short
career I am going to tell you how we are
think that we are just with pitch
can make sure that patient is up
receive customized care
to begin with is the human body
so it is incredibly complex every patient
unique
the human body has a DNA
blueprint of 20 50 million letters
consists of 100 billion cells many
organs thousands of fabrics and processes
all of them continuously on each other
influence we already know a lot
about how the human body works and
we understand disease better and better
knowledge about which patients
which walk really is the desired
effect is still very limited
my love half of the treatments
currently in use is none
scientific substantiation that this
medicines really the desired effect
and effectiveness of the other
treatments are based on research
involving only him in the results
are used and where tess very small
patient group participated
the patients who participate in this
research are often young white men
like me
who have no other conditions that
Do not take any other medicines
so that just the older patients are in
the patients receiving multiple treatments
use it that is difficult to treat
and there are many
in the Netherlands alone we already have 5.3
million patients with one or more
chronic illness and there are in it
the Netherlands half a million patients
older than 75 in more than five medications
swallow at the same time
in addition, scientific research
also not always reliable as one
treatment for example none or none
has a clear effect
you are often not published and
commercial interests can benefit
ensure that treatments have other effects
have in practice than in the
research the case i
and then it also takes another 17 years
that result from science in the
practice is implemented
doctors obviously have no
access the right information on it
right moment
but there are still huge further
scientific knowledge that almost does not
to keep up with him is just as well
are also many questions on so
daily in practice with that
Anyway practically impossible with
Scientific studies can
reply
which of the dozens of antidepressants
for example, you can prescribe west
in the one patient where you are that we
others have tried the treatment but
who did not succeed
and what is the best dosage for this
heart patient who also have kidney problems
and has many other medications
swallows or what is the best time to the
rheumatism walk down to the patient
build and have for this
prostate cancer patient
really true if we are also on
irradiate
again doctors do not have access to it
the right information at the time
they have to make difficult decisions
to make
but the most shocking and the most to
understood to be adjustable in the meadow
backpack me that we are nothing at the moment
learn from all that time a doctor
such a difficult decision makes
luckily we are now living in the digital
era where doctors and patients
everything they do is becoming more digital
getting information
and we are convinced at pec
that we have all this digital information
due to the increasing possibilities for this
analyze it to make sure that
doctors
every decision they take to
take on the basis of thorough and customized
made proof and that every time as one
doctor’s decision makes all his
colleagues can also learn from this
at pec with we make
decision support software
based on analysis of all patients
including the millions of chronic women
sick older children
predict the expected outcomes
are from those of the
tire options for that specific
patient at the bed or in the consulting room
we make this software the our team
consists of people with years of
experience with data analysis in the
science or business together
with doctors and patients on these dates
to get started
an important group of analysis techniques
that there are days that we use
is called machine learning and with
machine learning is possible
let computers connect in data
discovering that the man notes
I will try to get you out
explain what machine learning is at the
hand of the example of writing
of a computer program that can
you would play chess with classical techniques
can try to be a programmer one
program to write that for
all possible occupations of it
chess is exactly telling which move
the best is but chess is terrible
complex game it is never
succeeded in doing so to good
computer programs to come on this
the same way it has been in recent years
tried to make software the care
for example, a guide
programmed for all
patients
exactly tells all that possible unique
tells patients exactly which
treatments which dosage the best
but these expert systems like that
are often not mentioned
the complexity in the variety of the
patients who are doctors to you
have in the consulting room and these systems
therefore could never use it
count but with machine learning the
chess computer
then learn from data which set the
most likely to have ultimate
profit at the beginning is often still the case
very bad
but a computer can be billions
play games and all that
games you can learn which move
which situation is best with the
increasing possibilities for data
Analyzing succeeded 20 years ago
for the first time the world champion
to defeat chess
it is even two years ago
succeeded by google to the complex
game to join the world champion
defeat
but what we find most interesting
find
is that if you are an amateur link
gives access to a too simple sheep
computer program that he both winds from
the world champion as of the best
chess computer
and in healthcare we think the
doctor’s involvement much more
essential
chess is different on a number
ways of treating yourself enormously
patients
the sheep computer can have endless data
and in that act that’s all you
of the chess game you must know and
all deeds are always accurate
registered the same way
it is also clear from the date
see if a chess game you succeeded
or not
in healthcare we have to do with the data
the practice is collected in these data
is not all that a doctor
thinking between decisions is that long
not everything that may affect the
effectiveness of a treatment on it
not always everything registered and
certainly not in the same way and
it is quite difficult to get out of their dates
to lead or walk to success
has been successful or not it
can also be very different
per patient
what kind of treatment really
contributed what results from one
treatment really contributed to one
higher quality of life
it is only possible for us
with machine learning from where to be in
care by cooperating very closely
with doctors both in the development of
the software as in the use of the
software in practice at the
development of the software we speak
weekly with doctors to understand
how the data that wants to use is established
has come
what is missing from what the
results that we mean and mean
to derive from the data when
treatment or can not successfully
used to be
in practice , the software can
of us only of value for
patients
because doctors get the results from us
can interpret and that together with
patients
the treatment can choose it
best suits their needs and consciously
bios personal situation
we started in general practice
there we developed software that
GP supports the choice of
treatments for bladder infections
this we have done data of 52,000
Patients and sweet 160 characteristics
the development of the software
we that we especially added a lot
value we were elderly patients
patients who already have multiple treatments
who had not worked and
in men
and these are exactly
research groups
where very little
scientific knowledge about wax
this software of your by 116 GPs
and we are very happy with
the use and behavioral change that
we see the next step in practice
for us in the huizer to care now is it
developing software for many
common chronic disease
such as baskets of high blood pressure
diabetes on copd
but we are now also active in the
hospital care we make on intensive
care software that support physician with
safely releasing patients from the
intensive care to the nursing ward
your then of analysis of 25,000
patients
including data from we do not have
to assess heart rate and blood pressure
what the chance is that a patient would come
to die
if you are discharged from intensive
care on what the chances are that he will be again
he recorded but also in the
hospital care now active with it
treating patients with cancer
heart disease
in psychiatry and we are software
developing that support
mapping
which patients actually do with
rush to the GP or to the
emergency route
at this moment we only have
data used in the
general practice or in hospitals
but a tsunami of data coming in
the care
patients are collecting more and more data
then from wearables apps at home measurements and
in the hospital, data is collected
from out and mary’s
dna profiles and who knows what is still there
more comes
our dream backpack with is to be sure
ensure that all these data come together the
doctor and patient to ensure that
patients only have treatments
get them actually going
help out
thank you
[Applause]
[Music]
[Applause]
[Music]
[Applause]
[Music]
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