How artificial intelligence and machine learning will impact the future of healthcare

Our modern healthcare systems are currently facing enormous challenges exacerbated by the pandemic, an increase in lifestyle-related diseases and the world’s population explosion.

The good news is that using artificial intelligence to create smart processes and workflows can make health care cheaper, more effective, more personalized and more equitable. Some experts predict that the healthcare industry may be the industry most affected by the great changes of the fourth industrial revolution.

Recently, Tom Lawry of Microsoft AI for Health and Life Sciences shared about the future of healthcare. Here are some of his most important insights and predictions:

Current Challenges Facing Healthcare

Consider the United States, which currently spends more on healthcare than any other country in the world more, but their individual health outcomes are lower than in most other developed countries.

Additionally, clinician burnout is a huge issue, especially since the pandemic.

Individuals across generations also want healthcare personalized to their needs. Tom Lawry said: "Millennials want to be able to get their health care advice in the same place they order dinner - their couch. Meanwhile, groups like baby boomers, They have a very different approach. They tend to focus more on primary care providers...so we have the ability to move from one-size-fits-all care delivered using these systems to using data and artificial intelligence to really personalize it, from care that is Generationally. And 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."

Artificial Intelligence in Healthcare The Great Prospects

The good news is that most large healthcare organizations are starting to use some form of artificial intelligence. However, we are still in the early stages of learning how to apply artificial intelligence to improve health care.

One of the main use cases is prediction using machine learning and artificial intelligence. Organizations are using AI to predict everything from emergency room volumes (to better handle staffing and triage) to predicting which treatments might be most effective for women with breast cancer.

Medical teams are also using natural language processing to improve the interpretation of patient scans by augmenting the work of human radiologists.

"When radiologists look at a scan, they're usually looking for one thing, and that's why you make the image. But a lot of times, in the background, there's something else that's being seen. So when As the radiologist dictates, natural language processes are used to alert these minor issues for follow-up that might previously have been overlooked, so this is a preventative approach to try to address future health issues before they occur."

The biggest promise of artificial intelligence in healthcare comes from changing clinical workflow. Artificial intelligence can add value by automating or enhancing the work of clinicians and staff. Many repetitive tasks will be fully automated, and we can also use artificial intelligence as a tool to help health professionals work better and improve patient outcomes.

The most successful healthcare organizations will be able to fundamentally rethink and reimagine their workflows and procedures, using machine learning and artificial intelligence to create a truly intelligent healthcare system.

Why we haven’t yet delivered on the promise of AI in healthcare

When asked why we haven’t used AI effectively across the healthcare system, he said:

“It’s really about leaders understanding what AI is capable of today and then figuring out how to apply it to add value. The value of AI doesn’t come from the technology; it comes from the technology. It comes from the changing clinical landscape Processes and operational procedures. Artificial intelligence only adds value in one or two ways: it adds value by automating the way work is done or by enhancing the way work is done. Automation means that highly repetitive tasks done by humans today or in the future will be done by intelligent machines. But the biggest part of healthcare today is augmentation… The idea of augmentation is, “How do we put artificial intelligence behind humans and make them better at the things they care about? ”

”It’s really about leaders understanding the capabilities of today’s AI and then thinking about 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. Artificial intelligence only adds value in one or two ways: it adds value by automating the way work is done or by enhancing the way work is done. Automation means that highly repetitive tasks done by humans today will be done by smart machines today or in the future. But today healthcare The most important part of health care is the idea of augmentation, 'How do we put artificial intelligence behind humans and make them better at the things they care about?'"

Tom said that the field of health care Senior leaders don’t necessarily need to understand how AI works, they just need to grasp its power and how it can help them deliver personalized care to people more efficiently and compassionately.

For example, the Singaporean government is currently using machine learning and deep algorithms to help manage the health of people with prediabetes. The government has mined the data of around 5 million citizens to identify people with prediabetes and then recruits people to volunteer for a program where they receive personalized tips every day about what they can do to take charge of their health and Lower their blood sugar. This highly personalized advice was highly successful in slowing participants' progression from prediabetes to diabetes.

Healthcare workers have no reason to fear artificial intelligence

Artificial intelligence will impact the jobs of many in the healthcare industry, but there’s no need to worry: Machines won’t replace healthcare providers anytime soon.

“What artificial intelligence is good at is pattern recognition,” Tom said. "It's very good at sifting through large amounts of data to find things that humans can't find or would take years to find. Humans, on the other hand, are very good at intelligence, common sense, empathy and creativity, all of which are important when you think about the care process. Critical."

To be able to adapt to future trends and integrate artificial intelligence into the healthcare system, clinicians simply need to realize the power of this new technology and understand that the world is changing. Building a smart healthcare system isn’t about taking over work, it’s about making clinicians better at their jobs while improving the patient experience.

This is obviously a win-win situation.

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