PODCAST: Artificial Intelligence in Medicine

MACHINE LEARNING AND NATURAL LANGUAGE PROCESSING

By Eric Bricker MD

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PODCAST: Machine Learning For Population Health

BY ERIC BRICKER MD

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

POPULATION HEALTH: https://medicalexecutivepost.com/2016/06/28/what-is-population-health/

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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: Healthcare Artificial Intelligence, Machine Learning and Natural Language Processing

PODCAST ON UnitedHeathcare Group Annual Report

Dr. Eric R. Bricker, Internist in Dallas, TX | US News Doctors

By Eric Bricker MD

An Annual Report from UnitedHealth Group Says United is Going Drive Growth by Using AI and Machine Learning to 1) Help High Risk Patients, 2) Assist Patients with Multiple Chronic Diseases, 3) Partner with Providers and 4) Be More Patient-Centric.

Some More Concrete Examples of How AI and Machine Learning Can Be Used in Healthcare and Health Insurance Are:

1) Better Underwriting of Risk

2) More Highly Focused Prior Authorization

3) Cherry-Pick the Individual Health Insurance Market

However, the Execution of AI’s and Machine Learning’s Finding Requires Human Behavior Modification–an Almost Impossible Task for Any Insurance Carrier to Accomplish Because of Their Low Credibility with Patients, Doctors and Nurses. Without Credibility and Trust, All the AI and Machine Learning in the World Will NOT Change People’s Behavior.

PODCAST LINK: https://www.youtube.com/watch?v=c9knoA30sD4

Disclaimer: Dr. Bricker is the founder of Texas Family Insurance – an independent insurance agent that sells Oscar Health.

ASSESSMENT: Your comments are appreciated.

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