How AI And Machine Learning Will Impact The Future Of Healthcare – Forbes

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 plus 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 health care. Here are some associated with his biggest insights and predictions:

Current Challenges in Health care

The U. S. currently spends more money on healthcare than any other country in the world, but its individual health outcomes are usually lower than most other developed nations.

Additionally , clinician burnout is a huge problem, particularly since the pandemic.

Individuals in different generations also want health care that will be personalized in order to their needs. Tom says:

“Millennials want to be able to have their healthcare consult from the same place they order their dinner — which will be their couch. Meanwhile, you have groups like baby boomers who have a very different approach. They’re much more inclined to want in order to focus on a primary care provider…so we have the ability to go through that one-size-fits-all in treatment 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. — all of us have the opportunity to allow them to access plus manage treatment on their own terms. ”

The Big Promise of AI in Healthcare (Examples)

The good news is that most large health care 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 in order to make healthcare better.

One of the primary use cases is using machine studying and AI to create predictions. Organizations are using AI to predict everything from emergency department volumes (to get a better handle upon staffing and triage) to predicting which treatments might be most efficient for women who develop breast cancer.

Health care teams are also using natural language processing to improve the interpretation of patient scans simply by augmenting the work associated with human radiologists. Tom says:

“When the radiologist looks at a scan, they’re typically looking for one thing, which is the reason you have got that image done. But many times in the particular background, there’s something else that can be seen. So as radiologists are dictating, natural language processes are being used in order to call out these secondary issues with regard to 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. ”

The biggest promise of AI in health care comes from changing clinical workflows. AI may add value by either automating or augmenting the work of clinicians and staff. Many repetitive tasks will become fully automated, and we all can also make use of AI as a tool to help health professionals perform better in their jobs and enhance outcomes regarding patients.

The healthcare organizations that will be probably the most successful are the ones that will be able to fundamentally rethink plus reimagine their own workflows and processes plus use machine learning and AI to create a truly smart health system.

Why We Haven’t Fulfilled the Promise of AI in Healthcare Yet

When I asked Tom why we are not yet using AI effectively across our entire healthcare program, he said:

“It’s really about leaders understanding the capabilities of AI today, plus then looking at how to apply it in order to add worth. The value of AI doesn’t come from the technology; it comes from altering clinical workflows and operational processes. AI adds worth in only one or two ways: It adds value by automating the way work is done or even augmenting the particular way work is done. Automation means highly repeated work carried out by humans today is usually going to be completed by the smart device today or in the future. Yet the greatest part associated with healthcare today is augmentation…the idea of augmentation is, ‘How do we bring AI in behind the people to make all of them better from something these people care about? ’”

According to Mary, senior frontrunners within the health care space don’t necessarily need to understand how AI works — they will just need to grasp the power of AI and how it can help them provide personalized care intended for people more efficiently and compassionately.

For example , the government of Singapore is currently making use associated with machine understanding and deep algorithms in order to help manage the wellness of people who are pre-diabetic. The government has mined the information of approximately five million citizens to identify people who are pre-diabetic, plus then recruited people to volunteer in order to be part of a program where they receive customized daily nudges about what these people can do to take charge of their health and lower their particular blood sugar. This highly personalized advice has been extremely successful with slowing participants’ progression from pre-diabetic to diabetic.

Healthcare Workers Have No Reason to Fear AI

AI will impact the task associated with many individuals in the healthcare industry, but there’s no need to fear: Machines won’t be replacing healthcare providers anytime soon.

“What synthetic intelligence is definitely good at is things like pattern recognition, ” Ben says. “It’s great on sifting through massive amounts of data to find something that humans possibly aren’t capable of finding or would take years humans to get. On the particular other hand, humans are usually great at wisdom, common sense, empathy, and creativity, all of which are vitally important when you think about the care process. ”

To be able to adapt in order to future trends and the integration of AI into the healthcare system, physicians simply need to become aware of the power associated with this new technology and understand that the world is transforming. Instead of taking over work, 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.

Watch my full interview with Jeff Lawry, National Director For AI, Wellness & Existence Sciences in Microsoft here:

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