Prepare now for intelligent medicine
Arlen Meyers, MD, MBA
President and CEO, Society of Physician Entrepreneurs, another lousy golfer, terrible cook, friction fixer
Artificial intelligence has the promise to make healthcare professionals smarter, better, faster, and cheaper and, as a result, make patients healthier at less cost and healthcare workers happier, less burned out and more productive. AI could even help transform sickcare into healthcare.
AI will unlock potential across many areas of human health. This article explores 10 specific use cases for AI in healthcare and various medical fields.
With Artificial Intelligence (AI) continually progressing and developing, it’s unsurprising that many companies are aiming to lead in the AI technology market – especially given that the global AI market is on track to be worth over $118 billion by 2022.
But, with the hope comes the hype and the ever present threat of technofatique.
Most businesses are just trying to figure out whether and how to solve the right problem using the right AI technology with the right people. Some are more advanced than others. The sickcare industry, at this point, is still trying to figure it all out as well.
The process typically involves several basic steps.
READY
The first step is an innovation and AI readiness assessment to determine whether you have necessary pieces in place to begin the process, and , if not, then how you fill the gaps.
AIM
The second step requires a strategy and tactics for enterprise dissemination, implementation and continuous quality improvement and the people and skills required to do so.
FIRE
Of course, all this is neither easy nor cheap and there are significant barriers to sickcare dissemination and implementation , including technical, human factor and leadership , environmental/legal/ethical/ regulatory and business model roadblocks and challenges.
As more healthcare companies start to implement automation technologies, the ability to coordinate across the organization in achieving scale will be a major determinant of success. Here is why the tenure of a chief data officer is so short.
AI will drive organizational change and ask more of top leaders.?
AI will place new demands on the CIO and CTO.
领英推荐
AI will require an increased focus on risk management and ethics.
So, you are a technologist, data scientist or health professional?who wants to be the founder of an AI company ?i.e an AIntrepreneur? If so, you will need to overcome some hurdles at four different levels of the healthcare AI value chain-personal, company, consumer or end-user and the sick care ecosystem of systems. The first step is to find the answers to some basic questions:
PERSONAL
COMPANY
5. Do you understand their problem and the pain it is causing?
6. Are your underlying business model canvas hypotheses valid?
STAKEHOLDER
SICKCARE SOS (system of systems)
12. Are you able to navigate the rapidly changing regulatory, IP and reimbursement rules to create a profitable business model?
Here is a book on digital health entrepreneurship that might help and another on intelligence based medicine. Since you won't be learning this in most medical schools, I'd suggest you learn it on your own using online resoures.
Or, maybe you are the CEO of a health system and how to integrate technologies like AI is keeping you up at night?
Like other medical technology adoption, the process will be evolutionary with fits and starts until it becomes the standard of care.
The smart money is betting on AI to transform business. You should start now preparing to win the 4th industrial revolution if you want a piece of the pie..
Arlen Meyers, MD, MBA is the President and CEO of the Society of Physician Entrepreneurs and advisor at MI10
President and CEO, Society of Physician Entrepreneurs, another lousy golfer, terrible cook, friction fixer
4 年Join Healthcare Artificial Intelligence Linkedin Group at https://www.dhirubhai.net/groups/13888841
M.D., MBA CPE
4 年The Singularity in healthcare is near indeed. Larry Weed convincingly made this case more than 30 years ago. For those unfamiliar with his work I highly recommended reading it. "?We have focused so much on the difference between the educated expert and the uneducated that we have failed to focus on the difference between what the educated expert knows and does and what the problem ideally requires. But as we examine this difference critically, it dawns on us how misplaced is our confidence in the present premises of education, a confidence which leads us to trust the unaided human mind in the face of many variables at the time of problem solving. " ".......I can assure you that any automation that reliably couples patient data with the world's medical research will be dramatically better than the unaided human mind." Weed L.L. (1991) Introduction. In: Knowledge Coupling. Computers in Health Care. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-3150-9_1
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4 年So Arlen Meyers, MD, MBA where are we in the Gartner Hype Cycle regarding AI in Healthcare at this point in time? "Peak of inflated expectations"? I can see definite useful applications and yet SO MUCH HYPE and so much smoke without flames.