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HOW AI AND MACHINE
LEARNING WILL IMPACT THE
FUTURE OF HEALTHCARE
© 2021 Bernard Marr, Bernard Marr & Co. All rights reserved
HOW AI AND MACHINE LEARNING WILL IMPACT
THE FUTURE OF HEALTHCARE
Global healthcare is facing enormous challenges, but artificial
intelligence and machine learning hold the secret to transforming our
ailing health system into a more equitable, efficient way to care for
patients.
© 2021 Bernard Marr, Bernard Marr & Co. All rights reserved
Our modern healthcare system is currently facing huge challenges exacerbated by the
pandemic, a rise in lifestyle-related diseases, and an exploding world population.
The good news is that using AI to create intelligent processes and workflows could make
healthcare cheaper, more effective, more personalized, and more equitable.
Some experts are predicting that the healthcare industry is the sector that could be the
most affected by the enormous changes of the fourth industrial revolution.
I recently spoke with Tom Lawry, National Director of AI for Health & Life Sciences at
Microsoft, about the future of healthcare. Here are some of his biggest insights and
predictions:
© 2021 Bernard Marr, Bernard Marr & Co. All rights reserved
CURRENT CHALLENGES IN HEALTHCARE
The U.S. currently spends more money on healthcare than any other country in the world, but its
individual health outcomes are lower than most other developed nations.
Additionally, clinician burnout is a huge problem, particularly since the pandemic.
Individuals in different generations also want healthcare that is personalized to their needs. Tom says:
“Millennials want to be able to have their healthcare consult from the same place they order their
dinner — which is their couch. Meanwhile, you have groups like baby boomers who have a very
different approach. They're much more inclined to want to focus on a primary care provider…so we
have the ability to go from that one-size-fits-all in care delivery with these systems to using data
and AI to truly personalize it, starting with care that's generational. Then even within each
generation — millennials, Gen Z, etc. — we have the ability to allow them to access and manage
care on their own terms.”
© 2021 Bernard Marr, Bernard Marr & Co. All rights reserved
THE BIG PROMISE OF AI IN HEALTHCARE (EXAMPLES)
The good news is that most large healthcare organizations are beginning to make use of
some form of AI. However, we’re still early in the journey of learning how we can apply
artificial intelligence to make healthcare better.
One of the primary use cases is using machine learning and AI to make predictions.
Organizations are using AI to predict everything from emergency department volumes (to
get a better handle on staffing and triage) to predicting which treatments might be most
effective for women who develop breast cancer.
© 2021 Bernard Marr, Bernard Marr & Co. All rights reserved
Healthcare teams are also using natural language processing to improve the
interpretation of patient scans by augmenting the work of human radiologists. Tom
says:
“When a radiologist looks at a scan, they’re typically looking for one thing, which
is the reason you have that image done. But many times in the background,
there's something else that can be seen. So as radiologists are dictating, natural
language processes are being used to call out these secondary issues for follow-
up, where previously those things might go unnoticed…so it's a preventive way of
trying to get out ahead of a future health problem.”
© 2021 Bernard Marr, Bernard Marr & Co. All rights reserved
The biggest promise of AI in healthcare comes from changing clinical workflows.
AI can add value by either automating or augmenting the work of clinicians and
staff. Many repetitive tasks will become fully automated, and we can also use AI
as a tool to help health professionals perform better at their jobs and improve
outcomes for patients.
The healthcare organizations that will be the most successful are the ones that will
be able to fundamentally rethink and reimagine their workflows and processes and
use machine learning and AI to create a truly intelligent health system.
© 2021 Bernard Marr, Bernard Marr & Co. All rights reserved
WHY WE HAVEN’T FULFILLED THE PROMISE OF AI IN
HEALTHCARE YET
When I asked Tom why we’re not yet using AI effectively across our entire healthcare system, he
said:
“It’s really about leaders understanding the capabilities of AI today, and then looking at how
to apply it to add value. The value of AI doesn't come from the technology; it comes from
changing clinical workflows and operational processes. AI adds value in only one or two
ways: It adds value by automating the way work is done or augmenting the way work is
done. Automation means highly repetitive work done by humans today is going to be done
by a smart machine today or in the future. But the biggest part of healthcare today is
augmentation…the idea of augmentation is, ‘How do we bring AI in behind the humans to
make them better at something they care about?’”
© 2021 Bernard Marr, Bernard Marr & Co. All rights reserved
According to Tom, senior leaders in the healthcare space don’t necessarily need to
understand how AI works — they just need to grasp the power of AI and how it can help
them provide personalized care for people more efficiently and compassionately.
For example, the government of Singapore is currently making use of machine learning
and deep algorithms to help manage the health of people who are pre-diabetic. The
government has mined the data of approximately five million citizens to identify people
who are pre-diabetic, and then recruited people to volunteer to be part of a program
where they receive personalized daily nudges about what they can do to take charge of
their health and lower their blood sugar. This highly personalized advice has been highly
successful at slowing participants’ progression from pre-diabetic to diabetic.
© 2021 Bernard Marr, Bernard Marr & Co. All rights reserved
HEALTHCARE WORKERS HAVE NO REASON TO FEAR AI
AI will impact the work of many people in the healthcare industry, but there’s no need
to fear: Machines won’t be replacing healthcare providers anytime soon.
“What artificial intelligence is good at is things like pattern recognition,” Tom says. “It's
great at sifting through massive amounts of data to find something that humans either
aren't capable of finding or would take years humans to find. On the other hand,
humans are great at wisdom, common sense, empathy, and creativity, all of which are
vitally important when you think about the care process.”
© 2021 Bernard Marr, Bernard Marr & Co. All rights reserved
To be able to adapt to future trends and the integration of AI into the healthcare
system, clinicians simply need to become aware of the power of this new
technology and understand that the world is changing. Instead of taking over jobs,
building an intelligent health system will make clinicians better at what they do,
while improving patient experiences.
It’s clearly a win-win all around.
Head to my YouTube channel to watch the full interview with Tom Lawry, National
Director For AI, Health & Life Sciences at Microsoft here.
© 2021 Bernard Marr, Bernard Marr & Co. All rights reserved
To stay on top of the latest on the latest business and tech trends, make sure to
subscribe to my newsletter and follow me on Twitter, LinkedIn, and YouTube.
© 2021 Bernard Marr , Bernard Marr & Co. All rights reserved
Bernard Marr is an internationally best-selling author, popular keynote speaker,
futurist, and a strategic business & technology advisor to governments and
companies. He helps organisations improve their business performance, use data
more intelligently, and understand the implications of new technologies such as
artificial intelligence, big data, blockchains, and the Internet of Things.
LinkedIn has ranked Bernard as one of the world’s top 5 business influencers. He is
a frequent contributor to the World Economic Forum and writes a regular column for
Forbes. Every day Bernard actively engages his 1.5 million social media followers
and shares content that reaches millions of readers.
hello@bernardmarr.com
www.bernardmarr.com
© 2021 Bernard Marr, Bernard Marr & Co. All rights reserved
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How AI And Machine Learning Will Impact The Future Of Healthcare

  • 1. HOW AI AND MACHINE LEARNING WILL IMPACT THE FUTURE OF HEALTHCARE
  • 2. © 2021 Bernard Marr, Bernard Marr & Co. All rights reserved HOW AI AND MACHINE LEARNING WILL IMPACT THE FUTURE OF HEALTHCARE Global healthcare is facing enormous challenges, but artificial intelligence and machine learning hold the secret to transforming our ailing health system into a more equitable, efficient way to care for patients.
  • 3. © 2021 Bernard Marr, Bernard Marr & Co. All rights reserved Our modern healthcare system is currently facing huge challenges exacerbated by the pandemic, a rise in lifestyle-related diseases, and an exploding world population. The good news is that using AI to create intelligent processes and workflows could make healthcare cheaper, more effective, more personalized, and more equitable. Some experts are predicting that the healthcare industry is the sector that could be the most affected by the enormous changes of the fourth industrial revolution. I recently spoke with Tom Lawry, National Director of AI for Health & Life Sciences at Microsoft, about the future of healthcare. Here are some of his biggest insights and predictions:
  • 4. © 2021 Bernard Marr, Bernard Marr & Co. All rights reserved CURRENT CHALLENGES IN HEALTHCARE The U.S. currently spends more money on healthcare than any other country in the world, but its individual health outcomes are lower than most other developed nations. Additionally, clinician burnout is a huge problem, particularly since the pandemic. Individuals in different generations also want healthcare that is personalized to their needs. Tom says: “Millennials want to be able to have their healthcare consult from the same place they order their dinner — which is their couch. Meanwhile, you have groups like baby boomers who have a very different approach. They're much more inclined to want to focus on a primary care provider…so we have the ability to go from that one-size-fits-all in care delivery with these systems to using data and AI to truly personalize it, starting with care that's generational. Then even within each generation — millennials, Gen Z, etc. — we have the ability to allow them to access and manage care on their own terms.”
  • 5. © 2021 Bernard Marr, Bernard Marr & Co. All rights reserved THE BIG PROMISE OF AI IN HEALTHCARE (EXAMPLES) The good news is that most large healthcare organizations are beginning to make use of some form of AI. However, we’re still early in the journey of learning how we can apply artificial intelligence to make healthcare better. One of the primary use cases is using machine learning and AI to make predictions. Organizations are using AI to predict everything from emergency department volumes (to get a better handle on staffing and triage) to predicting which treatments might be most effective for women who develop breast cancer.
  • 6. © 2021 Bernard Marr, Bernard Marr & Co. All rights reserved Healthcare teams are also using natural language processing to improve the interpretation of patient scans by augmenting the work of human radiologists. Tom says: “When a radiologist looks at a scan, they’re typically looking for one thing, which is the reason you have that image done. But many times in the background, there's something else that can be seen. So as radiologists are dictating, natural language processes are being used to call out these secondary issues for follow- up, where previously those things might go unnoticed…so it's a preventive way of trying to get out ahead of a future health problem.”
  • 7. © 2021 Bernard Marr, Bernard Marr & Co. All rights reserved The biggest promise of AI in healthcare comes from changing clinical workflows. AI can add value by either automating or augmenting the work of clinicians and staff. Many repetitive tasks will become fully automated, and we can also use AI as a tool to help health professionals perform better at their jobs and improve outcomes for patients. The healthcare organizations that will be the most successful are the ones that will be able to fundamentally rethink and reimagine their workflows and processes and use machine learning and AI to create a truly intelligent health system.
  • 8. © 2021 Bernard Marr, Bernard Marr & Co. All rights reserved WHY WE HAVEN’T FULFILLED THE PROMISE OF AI IN HEALTHCARE YET When I asked Tom why we’re not yet using AI effectively across our entire healthcare system, he said: “It’s really about leaders understanding the capabilities of AI today, and then looking at how to apply it to add value. The value of AI doesn't come from the technology; it comes from changing clinical workflows and operational processes. AI adds value in only one or two ways: It adds value by automating the way work is done or augmenting the way work is done. Automation means highly repetitive work done by humans today is going to be done by a smart machine today or in the future. But the biggest part of healthcare today is augmentation…the idea of augmentation is, ‘How do we bring AI in behind the humans to make them better at something they care about?’”
  • 9. © 2021 Bernard Marr, Bernard Marr & Co. All rights reserved According to Tom, senior leaders in the healthcare space don’t necessarily need to understand how AI works — they just need to grasp the power of AI and how it can help them provide personalized care for people more efficiently and compassionately. For example, the government of Singapore is currently making use of machine learning and deep algorithms to help manage the health of people who are pre-diabetic. The government has mined the data of approximately five million citizens to identify people who are pre-diabetic, and then recruited people to volunteer to be part of a program where they receive personalized daily nudges about what they can do to take charge of their health and lower their blood sugar. This highly personalized advice has been highly successful at slowing participants’ progression from pre-diabetic to diabetic.
  • 10. © 2021 Bernard Marr, Bernard Marr & Co. All rights reserved HEALTHCARE WORKERS HAVE NO REASON TO FEAR AI AI will impact the work of many people in the healthcare industry, but there’s no need to fear: Machines won’t be replacing healthcare providers anytime soon. “What artificial intelligence is good at is things like pattern recognition,” Tom says. “It's great at sifting through massive amounts of data to find something that humans either aren't capable of finding or would take years humans to find. On the other hand, humans are great at wisdom, common sense, empathy, and creativity, all of which are vitally important when you think about the care process.”
  • 11. © 2021 Bernard Marr, Bernard Marr & Co. All rights reserved To be able to adapt to future trends and the integration of AI into the healthcare system, clinicians simply need to become aware of the power of this new technology and understand that the world is changing. Instead of taking over jobs, building an intelligent health system will make clinicians better at what they do, while improving patient experiences. It’s clearly a win-win all around. Head to my YouTube channel to watch the full interview with Tom Lawry, National Director For AI, Health & Life Sciences at Microsoft here.
  • 12. © 2021 Bernard Marr, Bernard Marr & Co. All rights reserved To stay on top of the latest on the latest business and tech trends, make sure to subscribe to my newsletter and follow me on Twitter, LinkedIn, and YouTube.
  • 13. © 2021 Bernard Marr , Bernard Marr & Co. All rights reserved Bernard Marr is an internationally best-selling author, popular keynote speaker, futurist, and a strategic business & technology advisor to governments and companies. He helps organisations improve their business performance, use data more intelligently, and understand the implications of new technologies such as artificial intelligence, big data, blockchains, and the Internet of Things. LinkedIn has ranked Bernard as one of the world’s top 5 business influencers. He is a frequent contributor to the World Economic Forum and writes a regular column for Forbes. Every day Bernard actively engages his 1.5 million social media followers and shares content that reaches millions of readers.
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