Healthcare, Learn the Differences Among:
1) Artificial Intelligence -
2) Machine Learning
3) Natural Language Processing
Specifically 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) Much 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.
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