PODCAST: Healthcare Machine Learning Can Self Create / Improve Algorithms?

Machine Learning is a Subset of Artificial Intelligence (AI) Where Computer Software Can Create and Improve on Algorithms on Its Own.

Machine Learning for Population Health

PODCAST: 'Hacking of the American Mind' | The Leading ...

By Eric Bricker MD

Healthcare Machine Learning Company ClosedLoop.ai is One of the Best at Applying Machine Learning to Population Health Data.

ClosedLoop.ai is So Good, They Won the CMS AI Challenge … Beating Out 300 Other Organizations Including IBM, the Mayo Clinic and Deloitte.

The Promise of Machine Learning in Population Health is to Better Predict Which People Will Benefit From an Intervention Because They Are at Greater Risk of a Complication of a Disease or an ER Visit or a Hospitalization.

ClosedLoop.ai Beautifully Applied Their Machine Learning Abilities to Create a Pandemic Risk Model That Helped a New York City Health Insurance Plan Identify Which Members Would Be Most Likely to Have Severe Complications of COVID-19.

As a Result, the Insurance Company Helped These Individuals Have Groceries and Prescription Medication Delivered to Them So They Could Stay at Home and Avoid Exposure to COVID.

There You Have It!  A Practical, Real-World Example of Machine Learning in Population Health That Literally Saved Some People’s Lives.

Disclaimer: Dr. Bricker is the Chief Medical Officer of Virtual Care Company First Stop Health.

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PODCAST: Artificial Intelligence in Health Care Today

Transforming Health care ETHICALLY

By Stanford Online

[Drs. Serena Yeung and Matthew Lungreen]

Artificial intelligence has the potential to transform healthcare, driving innovations, efficiencies, and improvements in patient care.

WHITE-PAPER LINK: https://www.healthit.gov/sites/default/files/jsr-17-task-002_aiforhealthandhealthcare12122017.pdf

But, this powerful technology also comes with a unique set of ethical and safety challenges.

LINK: https://www.amazon.com/Dictionary-Health-Information-Technology-Security/dp/0826149952/ref=sr_1_5?ie=UTF8&s=books&qid=1254413315&sr=1-5

So, how can AI be integrated into healthcare in a way that maximizes its potential while also protecting patient safety and privacy? 

In this session faculty from the Stanford AI in Healthcare specialization discuss the challenges and opportunities involved in bringing AI into the clinic, safely and ethically, as well as its impact on the doctor-patient relationship.

They also outline a framework for analyzing the utility of machine learning models in healthcare and will describe how the US healthcare system impacts strategies for acquiring data to power machine learning algorithms.

ASSESSMENT: Your thoughts are appreciated.

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Could ARTIFICIAL INTELLIGENCE Help Make Health Care More Fair?

Helping us believe what patients say

A new study shows how training deep-learning models on patient outcomes could help reveal gaps in existing medical knowledge.

By Karen Hao

In the last few years, research has shown that deep learning can match expert-level performance in medical imaging tasks like early cancer detection and eye disease diagnosis. But there’s also cause for caution.

Other research has shown that deep learning has a tendency to perpetuate discrimination. With a health-care system already riddled with disparities, sloppy applications of deep learning could make that worse.

LINK: https://www.technologyreview.com/2021/01/22/1016577/ai-fairer-healthcare-patient-outcomes/?truid=349b552221c994e2540a304649746d7c&utm_source=weekend_reads&utm_medium=email&utm_campaign=weekend_reads.unpaid.engagement&utm_term=emtech-next-2021&utm_content=05.01.all&mc_cid=3ae91e4c2b&mc_eid=72aee829ad

LIABILITY: And, what about malpractice liability?

LINK: https://qz.com/1905712/when-ai-in-healthcare-goes-wrong-who-is-responsible-2/

Your thoughts are appreciated.

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Risk Management, Liability Insurance, and Asset Protection Strategies for Doctors and Advisors: Best Practices from Leading Consultants and Certified Medical Planners™

ORDER TEXTBOOK: https://www.routledge.com/Risk-Management-Liability-Insurance-and-Asset-Protection-Strategies-for/Marcinko-Hetico/p/book/9781498725989

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Update on ARTIFICIAL INTELLIGENCE [A.I.]

Future Fate: YES -or- NO?

[By staff reporters]

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The “Chinee Room” Argument of A.I.

On John Searle and his Paper

By Dr David E. Marcinko MBA

The Chinese room argument holds that a digital computer executing a program cannot be shown to have a “mind”, “understanding” or “consciousness”, regardless of how intelligently or human-like the program may make the computer behave.

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The argument was first presented by philosopher John Searle in his paper, “Minds, Brains, and Programs“, published in Behavioral and Brain Sciences in 1980. It has been widely discussed in the years since. The centerpiece of the argument is a thought experiment known as the Chinese room.
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Conclusion: Your thoughts are appreciated.
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A.I. Adoption and Perceptions in Healthcare

By http://www.MCOL.com

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Assessment: Your thoughts are appreciated.

BUSINESS, FINANCE, INVESTING & INSURANCE TEXTS FOR DOCTORS:

1 – https://lnkd.in/ebWtzGg

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Healthcare Executive Attitudes Toward Artificial Intelligence

Opportunities and Obstacles

By http://www.MCOL.com

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Conclusion

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Speaker: If you need a moderator or speaker for an upcoming event, Dr. David E. Marcinko; MBA – Publisher-in-Chief of the Medical Executive-Post – is available for seminar or speaking engagements.

Book Marcinko: https://medicalexecutivepost.com/dr-david-marcinkos-bookings/

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It’s time to put humans at the center of A.I.

More on Artificial Intelligence
By MIT Technology Rerview

“To make more helpful and useful machines, we’ve got to bring back the contextual understanding,” says Fei-Fei Li, chief scientist of Google Cloud, in an interview with MIT Technology Review.

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Read why she wants to inject some humanity into AI

https://www.technologyreview.com/s/609060/put-humans-at-the-center-of-ai/?utm_source=MIT+Technology+Review&utm_campaign=f21f8e4086-The_Download&utm_medium=email&utm_term=0_997ed6f472-f21f8e4086-154253973

Conclusion

Your thoughts and comments on this ME-P are appreciated. Feel free to review our top-left column, and top-right sidebar materials, links, urls and related websites, too. Then, subscribe to the ME-P. It is fast, free and secure.

Speaker: If you need a moderator or speaker for an upcoming event, Dr. David E. Marcinko; MBA – Publisher-in-Chief of the Medical Executive-Post – is available for seminar or speaking engagements.

Contact: MarcinkoAdvisors@msn.com

Subscribe: MEDICAL EXECUTIVE POST for curated news, essays, opinions and analysis from the public health, economics, finance, marketing, I.T, business and policy management ecosystem.

Q&A with Futurist Martine Rothblatt

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[By MIT Technology Review]

Whether machines and artificial intelligence will ever become conscious is an eternally debated topic, but Martine Rothblatt thinks it shouldn’t be.

We talked with Rothblatt about why she thinks denying that machines will become conscious is similar to denying evolution, and why society must prepare to grant rights to the virtual beings of the future.

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Q&A with Futurist Martine Rothblatt

Conclusion

Your thoughts and comments on this ME-P are appreciated. Feel free to review our top-left column, and top-right sidebar materials, links, URLs and related websites, too. Then, subscribe to the ME-P. It is fast, free and secure.

Speaker: If you need a moderator or speaker for an upcoming event, Dr. David E. Marcinko; MBA – Publisher-in-Chief of the Medical Executive-Post – is available for seminar or speaking engagements. Contact: MarcinkoAdvisors@msn.com

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The Future of Health Insurance?

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Preparing for Dr. Big Brother

Bert Mesko

[By Bert Mesko MD PhD]

While futuristic technologies are becoming available in healthcare, patients often can’t access them and the cost of providing care continues to skyrocket.

However, innovations such as artificial intelligence (AI) and health sensors are set to reshape how healthcare insurance works and by doing so bring much needed reforms to healthcare as a whole.

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Insurance

http://medicalfuturist.com/2016/04/13/the-future-of-health-insurance-preparing-for-dr-big-brother/

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Conclusion

Your thoughts and comments on this ME-P are appreciated. Feel free to review our top-left column, and top-right sidebar materials, links, URLs and related websites, too. Then, subscribe to the ME-P. It is fast, free and secure.

Speaker: If you need a moderator or speaker for an upcoming event, Dr. David E. Marcinko; MBA – Publisher-in-Chief of the Medical Executive-Post – is available for seminar or speaking engagements. Contact: MarcinkoAdvisors@msn.com

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