your health is in your hands now perhaps you’re thinking wait a minute I’ve come
you’re thinking wait a minute I’ve come
you’re thinking wait a minute I’ve come along to a TED talk where I meant to
along to a TED talk where I meant to
along to a TED talk where I meant to hear inspirational and pushing the
hear inspirational and pushing the
hear inspirational and pushing the boundaries idea but I hear this every
boundaries idea but I hear this every
boundaries idea but I hear this every time I go to the GP how is that a novel
time I go to the GP how is that a novel
time I go to the GP how is that a novel idea but I don’t mean this in the
idea but I don’t mean this in the
idea but I don’t mean this in the metaphorical sense but rather literally
metaphorical sense but rather literally
metaphorical sense but rather literally there are more mobile devices than there
there are more mobile devices than there
there are more mobile devices than there are people on the planet and every time
are people on the planet and every time
are people on the planet and every time you pick up your phone your laptop your
you pick up your phone your laptop your
you pick up your phone your laptop your tablet you’re interacting with
tablet you’re interacting with
tablet you’re interacting with artificial intelligence perhaps because
artificial intelligence perhaps because
artificial intelligence perhaps because you’re searching for something on Google
you’re searching for something on Google
you’re searching for something on Google you’re uploading a photograph on
you’re uploading a photograph on
you’re uploading a photograph on Facebook or asking Siri the meaning of
Facebook or asking Siri the meaning of
Facebook or asking Siri the meaning of life you’re already interacting with
life you’re already interacting with
life you’re already interacting with artificial intelligence you just may not
artificial intelligence you just may not
artificial intelligence you just may not know it now before I talk about what
know it now before I talk about what
know it now before I talk about what artificial intelligence is and how these
artificial intelligence is and how these
artificial intelligence is and how these systems crucially learn I want to talk
systems crucially learn I want to talk
systems crucially learn I want to talk about what artificial intelligence is
about what artificial intelligence is
about what artificial intelligence is not please expunge this idea from your
not please expunge this idea from your
not please expunge this idea from your mind
mind
mind [Laughter]
[Laughter]
[Laughter] this is the media’s portrayal of
this is the media’s portrayal of
this is the media’s portrayal of artificial intelligence and it comes
artificial intelligence and it comes
artificial intelligence and it comes about because we anthropomorphic Isis
about because we anthropomorphic Isis
about because we anthropomorphic Isis technology we try and humanize this
technology we try and humanize this
technology we try and humanize this digital technology artificial
digital technology artificial
digital technology artificial intelligence is not the same as human
intelligence is not the same as human
intelligence is not the same as human intelligence these systems don’t enjoy
intelligence these systems don’t enjoy
intelligence these systems don’t enjoy this beautiful inner mental world that
this beautiful inner mental world that
this beautiful inner mental world that we have of consciousness so what is AI
we have of consciousness so what is AI
we have of consciousness so what is AI well you know because you use it every
well you know because you use it every
well you know because you use it every day it’s a tool and since our inception
day it’s a tool and since our inception
day it’s a tool and since our inception I love this slide to my favorite person
I love this slide to my favorite person
I love this slide to my favorite person since our inception we have been master
since our inception we have been master
since our inception we have been master tool makers culminating in the 1940s
tool makers culminating in the 1940s
tool makers culminating in the 1940s with the advent of the computer now for
with the advent of the computer now for
with the advent of the computer now for many years human programmers people like
many years human programmers people like
many years human programmers people like me you wouldn’t get invited to many
me you wouldn’t get invited to many
me you wouldn’t get invited to many dinners would sit behind computers and
dinners would sit behind computers and
dinners would sit behind computers and history and handcraft code into the
history and handcraft code into the
history and handcraft code into the machine instructions to tell it what to
machine instructions to tell it what to
machine instructions to tell it what to do and we did pretty well we we got
do and we did pretty well we we got
do and we did pretty well we we got expert system systems that could outwit
expert system systems that could outwit
expert system systems that could outwit humans at particular tasks and it
humans at particular tasks and it
humans at particular tasks and it actually 20 years ago today would by
actually 20 years ago today would by
actually 20 years ago today would by sheer coincidence that IBM’s deep blue
sheer coincidence that IBM’s deep blue
sheer coincidence that IBM’s deep blue beat the then world champion Garry
beat the then world champion Garry
beat the then world champion Garry Kasparov at his own game
Kasparov at his own game
Kasparov at his own game at chess but then in the 1980s there was
at chess but then in the 1980s there was
at chess but then in the 1980s there was a revolution in computer science and it
a revolution in computer science and it
a revolution in computer science and it was an introduction of pac-man though
was an introduction of pac-man though
was an introduction of pac-man though that was awesome but rather the
that was awesome but rather the
that was awesome but rather the introduction of computer programs that
introduction of computer programs that
introduction of computer programs that could learn so how how can computers
could learn so how how can computers
could learn so how how can computers learn well actually the inspiration
learn well actually the inspiration
learn well actually the inspiration comes from the most magnificent machine
comes from the most magnificent machine
comes from the most magnificent machine we will ever own our own brains so if we
we will ever own our own brains so if we
we will ever own our own brains so if we think about how infants learn like this
think about how infants learn like this
think about how infants learn like this QT behind me not my son but you know
QT behind me not my son but you know
QT behind me not my son but you know I’ve got the image of a good website so
I’ve got the image of a good website so
I’ve got the image of a good website so it’s fine um if you think about how
it’s fine um if you think about how
it’s fine um if you think about how infants learn they learn from experience
infants learn they learn from experience
infants learn they learn from experience they learn from trial and error so every
they learn from trial and error so every
they learn from trial and error so every time this gorgeous little one goes to
time this gorgeous little one goes to
time this gorgeous little one goes to play with this guy
play with this guy
play with this guy new connections will form in the brain
new connections will form in the brain
new connections will form in the brain and over time those connections will
and over time those connections will
and over time those connections will become more efficient they’ll be able to
become more efficient they’ll be able to
become more efficient they’ll be able to talk to other parts of the brain better
talk to other parts of the brain better
talk to other parts of the brain better he’ll acquire the motor and cognitive
he’ll acquire the motor and cognitive
he’ll acquire the motor and cognitive skills he needs to be able to orient the
skills he needs to be able to orient the
skills he needs to be able to orient the blocks into the right spaces that’s how
blocks into the right spaces that’s how
blocks into the right spaces that’s how he’s learned and this is the idea that
he’s learned and this is the idea that
he’s learned and this is the idea that we do in artificial intelligence the
we do in artificial intelligence the
we do in artificial intelligence the computers have experiences well yes they
computers have experiences well yes they
computers have experiences well yes they do they have data so what we do is we
do they have data so what we do is we
do they have data so what we do is we allow AI systems to learn from data
allow AI systems to learn from data
allow AI systems to learn from data without being pre-programmed now this
without being pre-programmed now this
without being pre-programmed now this all might seem a little bit abstract and
all might seem a little bit abstract and
all might seem a little bit abstract and a bit sci-fi which I don’t want to do so
a bit sci-fi which I don’t want to do so
a bit sci-fi which I don’t want to do so I wanted to show you what researchers at
I wanted to show you what researchers at
I wanted to show you what researchers at Google had created an artificial
Google had created an artificial
Google had created an artificial intelligence system to play a 1980s game
intelligence system to play a 1980s game
intelligence system to play a 1980s game called breakout now the only one piece
called breakout now the only one piece
called breakout now the only one piece of code in this AI system is the goal
of code in this AI system is the goal
of code in this AI system is the goal and that goal was to maximize the score
and that goal was to maximize the score
and that goal was to maximize the score on the game how the computer would get
on the game how the computer would get
on the game how the computer would get the highest score what it would need to
the highest score what it would need to
the highest score what it would need to do it didn’t know it had been
do it didn’t know it had been
do it didn’t know it had been pre-programmed into the system now a
pre-programmed into the system now a
pre-programmed into the system now a hundred games you can see that it’s okay
hundred games you can see that it’s okay
hundred games you can see that it’s okay it’s had a bit experience it kind of
it’s had a bit experience it kind of
it’s had a bit experience it kind of knows what it’s doing but then it gets
knows what it’s doing but then it gets
knows what it’s doing but then it gets more experience more data and 300 games
more experience more data and 300 games
more experience more data and 300 games you can see that it’s kind of a human
you can see that it’s kind of a human
you can see that it’s kind of a human capabilities it’s knowing to move the
capabilities it’s knowing to move the
capabilities it’s knowing to move the bat left and right to keep the ball in
bat left and right to keep the ball in
bat left and right to keep the ball in play and that will knock the blocks and
play and that will knock the blocks and
play and that will knock the blocks and it’s cool go up and then quite
it’s cool go up and then quite
it’s cool go up and then quite unexpectedly they thought well let’s
unexpectedly they thought well let’s
unexpectedly they thought well let’s just leave this overnight because
just leave this overnight because
just leave this overnight because computer programmers do that because
computer programmers do that because
computer programmers do that because we’re lazy and let’s see what let’s see
we’re lazy and let’s see what let’s see
we’re lazy and let’s see what let’s see what happens and it learnt for itself
what happens and it learnt for itself
what happens and it learnt for itself this optimal solution to use the ball
this optimal solution to use the ball
this optimal solution to use the ball how cool is that right if only I had a
how cool is that right if only I had a
how cool is that right if only I had a brain like that to drill up the
brain like that to drill up the
brain like that to drill up the left-hand side and to get the highest
left-hand side and to get the highest
left-hand side and to get the highest score in as fewer possible moves as it
score in as fewer possible moves as it
score in as fewer possible moves as it could and it’s this technology this
could and it’s this technology this
could and it’s this technology this ability for computer programs to learn
ability for computer programs to learn
ability for computer programs to learn from data and we’re in a data fueled
from data and we’re in a data fueled
from data and we’re in a data fueled world where are we find ourselves in
world where are we find ourselves in
world where are we find ourselves in this
this
this officially intelligent world that we now
officially intelligent world that we now
officially intelligent world that we now live in and this technology has
live in and this technology has
live in and this technology has revolutionized a number of sectors
revolutionized a number of sectors
revolutionized a number of sectors banking marketing insurance and the list
banking marketing insurance and the list
banking marketing insurance and the list goes on but there’s one sector and in my
goes on but there’s one sector and in my
goes on but there’s one sector and in my opinion the most important sector where
opinion the most important sector where
opinion the most important sector where this technology is not being utilized to
this technology is not being utilized to
this technology is not being utilized to its full potential and that is
its full potential and that is
its full potential and that is healthcare now we know that our
healthcare now we know that our
healthcare now we know that our wonderful NHS collects an awful lot of
wonderful NHS collects an awful lot of
wonderful NHS collects an awful lot of information about us and they they
information about us and they they
information about us and they they either reside in unhackable paper that
either reside in unhackable paper that
either reside in unhackable paper that wasn’t me either I’m happy we’ll paid
wasn’t me either I’m happy we’ll paid
wasn’t me either I’m happy we’ll paid for files like this or in disparate
for files like this or in disparate
for files like this or in disparate clinical systems that don’t necessarily
clinical systems that don’t necessarily
clinical systems that don’t necessarily talk to each other so the compelling
talk to each other so the compelling
talk to each other so the compelling question is how do we develop and deploy
question is how do we develop and deploy
question is how do we develop and deploy artificial intelligence systems to learn
artificial intelligence systems to learn
artificial intelligence systems to learn from our data to ultimately help our
from our data to ultimately help our
from our data to ultimately help our very are struggling NHS system our
very are struggling NHS system our
very are struggling NHS system our healthcare system and I want to be
healthcare system and I want to be
healthcare system and I want to be really clear here when I say deploy I do
really clear here when I say deploy I do
really clear here when I say deploy I do not mean replace our wonderful doctors
not mean replace our wonderful doctors
not mean replace our wonderful doctors nurses therapists but rather give them
nurses therapists but rather give them
nurses therapists but rather give them tools artificial intelligence tools to
tools artificial intelligence tools to
tools artificial intelligence tools to make their working lives more proficient
make their working lives more proficient
make their working lives more proficient and ultimately let them care for
and ultimately let them care for
and ultimately let them care for patients because that’s why people
patients because that’s why people
patients because that’s why people joined the NHS now 1 million of us use
joined the NHS now 1 million of us use
joined the NHS now 1 million of us use our NHS every 36 hours and for the vast
our NHS every 36 hours and for the vast
our NHS every 36 hours and for the vast majority of us we receive world-class
majority of us we receive world-class
majority of us we receive world-class care but sadly for one in ten of us
care but sadly for one in ten of us
care but sadly for one in ten of us during a hospital mission we will
during a hospital mission we will
during a hospital mission we will undergo a medical error or a medical
undergo a medical error or a medical
undergo a medical error or a medical harm and research indicates that one in
harm and research indicates that one in
harm and research indicates that one in 20 deaths in hospital is preventable so
20 deaths in hospital is preventable so
20 deaths in hospital is preventable so how can we start to use the digital
how can we start to use the digital
how can we start to use the digital technologies that you probably hopefully
technologies that you probably hopefully
technologies that you probably hopefully I’m playing on now but have in your
I’m playing on now but have in your
I’m playing on now but have in your pockets to reduce these figures and help
pockets to reduce these figures and help
pockets to reduce these figures and help our healthcare system one way is digital
our healthcare system one way is digital
our healthcare system one way is digital or health we all probably have mobiles
or health we all probably have mobiles
or health we all probably have mobiles on us right now and those Mobile’s may
on us right now and those Mobile’s may
on us right now and those Mobile’s may be very useful for example in ordering
be very useful for example in ordering
be very useful for example in ordering on Sainsbury’s restroom and slightly
on Sainsbury’s restroom and slightly
on Sainsbury’s restroom and slightly higher tax bracket weight trays and um
higher tax bracket weight trays and um
higher tax bracket weight trays and um and also in our dating so these apps are
and also in our dating so these apps are
and also in our dating so these apps are everywhere but we don’t use them in our
everywhere but we don’t use them in our
everywhere but we don’t use them in our healthcare why not they’re very simple
healthcare why not they’re very simple
healthcare why not they’re very simple to use and it’s this idea only last
to use and it’s this idea only last
to use and it’s this idea only last month that the NHS adopted they
month that the NHS adopted they
month that the NHS adopted they developed this website which is a
developed this website which is a
developed this website which is a digital tool for people with a multitude
digital tool for people with a multitude
digital tool for people with a multitude of long-term conditions you can see here
of long-term conditions you can see here
of long-term conditions you can see here for example diabetes dementia cancer
for example diabetes dementia cancer
for example diabetes dementia cancer living in the community to use these
living in the community to use these
living in the community to use these apps to help them manage their condition
apps to help them manage their condition
apps to help them manage their condition and I want to just take a deep dive into
and I want to just take a deep dive into
and I want to just take a deep dive into one of these apps which was developed by
one of these apps which was developed by
one of these apps which was developed by researchers and clinicians at Oxford
researchers and clinicians at Oxford
researchers and clinicians at Oxford University
University
University now patients were given a tablet not a
now patients were given a tablet not a
now patients were given a tablet not a medical one one like this eight that’s a
medical one one like this eight that’s a
medical one one like this eight that’s a proper pun they were given this in their
proper pun they were given this in their
proper pun they were given this in their own homes and they were given a probe to
own homes and they were given a probe to
own homes and they were given a probe to pop on their finger and every day that
pop on their finger and every day that
pop on their finger and every day that that probe would read data about that
that probe would read data about that
that probe would read data about that patient vital signs like heart rate the
patient vital signs like heart rate the
patient vital signs like heart rate the amount of oxygen in the blood and over
amount of oxygen in the blood and over
amount of oxygen in the blood and over time that system the artificial
time that system the artificial
time that system the artificial intelligence system under the hood of
intelligence system under the hood of
intelligence system under the hood of this app would learn about this patient
this app would learn about this patient
this app would learn about this patient because even though you me may have a
because even though you me may have a
because even though you me may have a diagnosis we are all different our
diagnosis we are all different our
diagnosis we are all different our diagnosis is one thing but we are might
diagnosis is one thing but we are might
diagnosis is one thing but we are might be very different in the way we react in
be very different in the way we react in
be very different in the way we react in the way we integrate with our with our
the way we integrate with our with our
the way we integrate with our with our condition so what do these apps allow
condition so what do these apps allow
condition so what do these apps allow for well I argue that they allow for a
for well I argue that they allow for a
for well I argue that they allow for a more proactive rather than reactive
more proactive rather than reactive
more proactive rather than reactive healthcare system so let’s think about
healthcare system so let’s think about
healthcare system so let’s think about if we had a fictional patient with for
if we had a fictional patient with for
if we had a fictional patient with for example COPD which is chronic
example COPD which is chronic
example COPD which is chronic obstructive pulmonary disease affects 3
obstructive pulmonary disease affects 3
obstructive pulmonary disease affects 3 million people in the UK long term
million people in the UK long term
million people in the UK long term condition and they became acutely
condition and they became acutely
condition and they became acutely breathless what options they have at the
breathless what options they have at the
breathless what options they have at the moment well they could wring NHS 1 1 1
moment well they could wring NHS 1 1 1
moment well they could wring NHS 1 1 1 to get
to get
to get advice or they could ring 999
advice or they could ring 999
advice or they could ring 999 understandably both of those options
understandably both of those options
understandably both of those options were probably culminate in an ambulance
were probably culminate in an ambulance
were probably culminate in an ambulance being dispatched then being rushed there
being dispatched then being rushed there
being dispatched then being rushed there Lake Laney hospital being admitted
Lake Laney hospital being admitted
Lake Laney hospital being admitted patients don’t want to be in hospital
patients don’t want to be in hospital
patients don’t want to be in hospital they want to be empowered in their own
they want to be empowered in their own
they want to be empowered in their own health and how they look after
health and how they look after
health and how they look after themselves but let’s say that these apps
themselves but let’s say that these apps
themselves but let’s say that these apps were being used
were being used
were being used well that would allow for a proactive
well that would allow for a proactive
well that would allow for a proactive health care system rather than reactive
health care system rather than reactive
health care system rather than reactive one because these apps for example this
one because these apps for example this
one because these apps for example this particular one is able to predict ahead
particular one is able to predict ahead
particular one is able to predict ahead of time way before the patient starts to
of time way before the patient starts to
of time way before the patient starts to notice breathlessness feelings that
notice breathlessness feelings that
notice breathlessness feelings that they’re becoming unwell and they’re on
they’re becoming unwell and they’re on
they’re becoming unwell and they’re on this trajectory of health deterioration
this trajectory of health deterioration
this trajectory of health deterioration and what this app can then do is alert
and what this app can then do is alert
and what this app can then do is alert the clinical team so the patient’s
the clinical team so the patient’s
the clinical team so the patient’s doctor or spiritually nurse I think you
doctor or spiritually nurse I think you
doctor or spiritually nurse I think you need to check on this patient and so we
need to check on this patient and so we
need to check on this patient and so we then start to get personalized treatment
then start to get personalized treatment
then start to get personalized treatment plans because as I said no two patients
plans because as I said no two patients
plans because as I said no two patients with copd are the same now this
with copd are the same now this
with copd are the same now this particular app has been running for 12
particular app has been running for 12
particular app has been running for 12 months and showing really promising
months and showing really promising
months and showing really promising results patients using this app in
results patients using this app in
results patients using this app in Oxford there’s been a reduction of 17%
Oxford there’s been a reduction of 17%
Oxford there’s been a reduction of 17% of hospital admissions and 28% of GP
of hospital admissions and 28% of GP
of hospital admissions and 28% of GP visits have been reduced but that’s the
visits have been reduced but that’s the
visits have been reduced but that’s the stat that’s that’s more important what’s
stat that’s that’s more important what’s
stat that’s that’s more important what’s important is that patients were
important is that patients were
important is that patients were empowered in their own health they
empowered in their own health they
empowered in their own health they literally had their health in their
literally had their health in their
literally had their health in their hands and they were a collaborator with
hands and they were a collaborator with
hands and they were a collaborator with their clinical team through this digital
their clinical team through this digital
their clinical team through this digital technology to look after themselves
technology to look after themselves
technology to look after themselves now the second example is one very close
now the second example is one very close
now the second example is one very close to my heart I’ve for 25 years now I
to my heart I’ve for 25 years now I
to my heart I’ve for 25 years now I don’t look at type 1 diabetes and a
don’t look at type 1 diabetes and a
don’t look at type 1 diabetes and a worry for patients like me is is I sight
worry for patients like me is is I sight
worry for patients like me is is I sight loss so patients like me are 25 times
loss so patients like me are 25 times
loss so patients like me are 25 times more likely to suffer site loss and
more likely to suffer site loss and
more likely to suffer site loss and eventual blindness if caught early
eventual blindness if caught early
eventual blindness if caught early enough ninety-eight percent of these
enough ninety-eight percent of these
enough ninety-eight percent of these cases could be prevented so what’s the
cases could be prevented so what’s the
cases could be prevented so what’s the current state of play well an
current state of play well an
current state of play well an ophthalmologist an eye doctor will take
ophthalmologist an eye doctor will take
ophthalmologist an eye doctor will take a picture like this with the back of my
a picture like this with the back of my
a picture like this with the back of my eye this isn’t the back of my eye
eye this isn’t the back of my eye
eye this isn’t the back of my eye thankfully but and we’ll start to troll
thankfully but and we’ll start to troll
thankfully but and we’ll start to troll through these scans
through these scans
through these scans looking for features or characteristics
looking for features or characteristics
looking for features or characteristics that indicate that I have diabetic eye
that indicate that I have diabetic eye
that indicate that I have diabetic eye disease now this is a very very
disease now this is a very very
disease now this is a very very time-intensive thing for a doctor to do
time-intensive thing for a doctor to do
time-intensive thing for a doctor to do and we kind of have a perfect storm at
and we kind of have a perfect storm at
and we kind of have a perfect storm at the moment because we have very few
the moment because we have very few
the moment because we have very few ophthalmologists it takes a long time to
ophthalmologists it takes a long time to
ophthalmologists it takes a long time to become a consultant eye doctor but at
become a consultant eye doctor but at
become a consultant eye doctor but at the same time the number of people being
the same time the number of people being
the same time the number of people being diagnosed with diabetes in the UK is
diagnosed with diabetes in the UK is
diagnosed with diabetes in the UK is rapidly rising so a leading Hospital in
rapidly rising so a leading Hospital in
rapidly rising so a leading Hospital in London Moorfields Eye Hospital teamed up
London Moorfields Eye Hospital teamed up
London Moorfields Eye Hospital teamed up with google deepmind and said can we
with google deepmind and said can we
with google deepmind and said can we train an artificially intelligent system
train an artificially intelligent system
train an artificially intelligent system to read these scans now this hasn’t been
to read these scans now this hasn’t been
to read these scans now this hasn’t been integrated into the NHS it’s still in a
integrated into the NHS it’s still in a
integrated into the NHS it’s still in a research phase but if it were successful
research phase but if it were successful
research phase but if it were successful what are the kind of benefits it could
what are the kind of benefits it could
what are the kind of benefits it could give us well it would be able to triage
give us well it would be able to triage
give us well it would be able to triage patients according to their need so at
patients according to their need so at
patients according to their need so at the moment doctors see scans and they
the moment doctors see scans and they
the moment doctors see scans and they don’t know what they’re going to see so
don’t know what they’re going to see so
don’t know what they’re going to see so a patient might be 99th in the row that
a patient might be 99th in the row that
a patient might be 99th in the row that is probably going to go blind in the
is probably going to go blind in the
is probably going to go blind in the next month versus someone he’s looking
next month versus someone he’s looking
next month versus someone he’s looking at or she’s looking at at that
at or she’s looking at at that
at or she’s looking at at that particular day and it would take him
particular day and it would take him
particular day and it would take him along or her a long time to get to that
along or her a long time to get to that
along or her a long time to get to that patient that is really in need of their
patient that is really in need of their
patient that is really in need of their treatment but because as we saw earlier
treatment but because as we saw earlier
treatment but because as we saw earlier we don’t turn off these systems they can
we don’t turn off these systems they can
we don’t turn off these systems they can run all night they don’t go on annual
run all night they don’t go on annual
run all night they don’t go on annual leave they can start to triage these
leave they can start to triage these
leave they can start to triage these patients according to need now again as
patients according to need now again as
patients according to need now again as I said earlier we’re not replacing
I said earlier we’re not replacing
I said earlier we’re not replacing doctors but rather streamlining their
doctors but rather streamlining their
doctors but rather streamlining their workloads so that the right patients are
workloads so that the right patients are
workloads so that the right patients are seen at the right time so with all this
seen at the right time so with all this
seen at the right time so with all this wonderful technology that we have
wonderful technology that we have
wonderful technology that we have available and we’re trying to infuse
available and we’re trying to infuse
available and we’re trying to infuse into the NHS and into our healthcare
into the NHS and into our healthcare
into the NHS and into our healthcare system there are big players moving into
system there are big players moving into
system there are big players moving into this space Google Microsoft as we know
this space Google Microsoft as we know
this space Google Microsoft as we know IBM and this ecosystem is growing
IBM and this ecosystem is growing
IBM and this ecosystem is growing rapidly so should we be concerned not
rapidly so should we be concerned not
rapidly so should we be concerned not it’s my opinion that we need to partner
it’s my opinion that we need to partner
it’s my opinion that we need to partner with third parties for the NHS to
with third parties for the NHS to
with third parties for the NHS to continue to offer world-class care
continue to offer world-class care
continue to offer world-class care particularly under the operational
particularly under the operational
particularly under the operational financial pressures it currently finds
financial pressures it currently finds
financial pressures it currently finds itself in but there are ethical and
itself in but there are ethical and
itself in but there are ethical and regulatory concerns that we need to
regulatory concerns that we need to
regulatory concerns that we need to discuss in public forums like this for
discuss in public forums like this for
discuss in public forums like this for example only yesterday as I’m sure we
example only yesterday as I’m sure we
example only yesterday as I’m sure we all know there was a cyber attack on NHS
all know there was a cyber attack on NHS
all know there was a cyber attack on NHS systems if we’re sharing data between
systems if we’re sharing data between
systems if we’re sharing data between the NHS and other other operational
the NHS and other other operational
the NHS and other other operational systems for example let’s say in KPMG
systems for example let’s say in KPMG
systems for example let’s say in KPMG your IBM or wherever how do we make sure
your IBM or wherever how do we make sure
your IBM or wherever how do we make sure that that data isn’t hackable if we give
that that data isn’t hackable if we give
that that data isn’t hackable if we give our data to private companies who owns
our data to private companies who owns
our data to private companies who owns that data and what can they do with it
that data and what can they do with it
that data and what can they do with it how do we ensure that our healthcare
how do we ensure that our healthcare
how do we ensure that our healthcare data unlike our facebook data doesn’t
data unlike our facebook data doesn’t
data unlike our facebook data doesn’t become a monetized commodity for example
become a monetized commodity for example
become a monetized commodity for example I don’t want to go onto the internet and
I don’t want to go onto the internet and
I don’t want to go onto the internet and be you know looking at the latest cat
be you know looking at the latest cat
be you know looking at the latest cat video and and I mean do my work and and
video and and I mean do my work and and
video and and I mean do my work and and this is recorded right I’m gonna start
this is recorded right I’m gonna start
this is recorded right I’m gonna start to see advertisements for diabetic
to see advertisements for diabetic
to see advertisements for diabetic related products I find it really spooky
related products I find it really spooky
related products I find it really spooky in it and very intrusive and we heard
in it and very intrusive and we heard
in it and very intrusive and we heard earlier that these artificial
earlier that these artificial
earlier that these artificial intelligence systems can allow doctors
intelligence systems can allow doctors
intelligence systems can allow doctors beep and other members of the clinical
beep and other members of the clinical
beep and other members of the clinical team to be more effective in their
team to be more effective in their
team to be more effective in their diagnosis but what happens because no
diagnosis but what happens because no
diagnosis but what happens because no system is perfect even a digital one
system is perfect even a digital one
system is perfect even a digital one when the system gets it wrong when it
when the system gets it wrong when it
when the system gets it wrong when it misses that cancerous growth from a
misses that cancerous growth from a
misses that cancerous growth from a legal perspective who is responsible me
legal perspective who is responsible me
legal perspective who is responsible me the developer the doctor or the system
the developer the doctor or the system
the developer the doctor or the system itself which as I said earlier isn’t
itself which as I said earlier isn’t
itself which as I said earlier isn’t human
human
human where is it gray gray area and we need
where is it gray gray area and we need
where is it gray gray area and we need to discuss this as a society so it would
to discuss this as a society so it would
to discuss this as a society so it would be remiss of me as a data scientist not
be remiss of me as a data scientist not
be remiss of me as a data scientist not to predict something and how do if we if
to predict something and how do if we if
to predict something and how do if we if we’re able to tackle these very
we’re able to tackle these very
we’re able to tackle these very important and I think game-changing
important and I think game-changing
important and I think game-changing questions where do I see the this new
questions where do I see the this new
questions where do I see the this new algorithmic healthcare landscape passing
algorithmic healthcare landscape passing
algorithmic healthcare landscape passing what will it look like well I think if
what will it look like well I think if
what will it look like well I think if we do this
we do this
we do this Polly and effectively and in
Polly and effectively and in
Polly and effectively and in collaboration with the NHS then
collaboration with the NHS then
collaboration with the NHS then paradoxically our NHS could actually
paradoxically our NHS could actually
paradoxically our NHS could actually become more human more personal because
become more human more personal because
become more human more personal because doctors nurses and therapists time will
doctors nurses and therapists time will
doctors nurses and therapists time will be freed up and no algorithm or
be freed up and no algorithm or
be freed up and no algorithm or artificial intelligence system can
artificial intelligence system can
artificial intelligence system can comfort you or be there for you
comfort you or be there for you
comfort you or be there for you when your worst fears are confirmed
when your worst fears are confirmed
when your worst fears are confirmed empathy is and I believe will always
empathy is and I believe will always
empathy is and I believe will always remain a uniquely human trait thank you
remain a uniquely human trait thank you
remain a uniquely human trait thank you for your time
for your time
for your time [Applause]
”
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