Machine learning and AI in medicine – Part 2

This episode continues our discussion of artificial intelligence, or AI. We examine how to overcome the common pitfall of bias, both statistical and social, and how to use AI innovatively. We describe what AI, which encompasses machine learning and other functions, can do in chronic care management.  Finally, we’ll detail how you can help make it more viable in your organization.

 

Guest speaker:

Shannon Sims, MD, PhD

Vice President

Data Intelligence and Interoperability

Vizient

 

Moderator:

Tomas Villanueva, DO, MBA, FACPE, SFHM

Associate Vice President

Clinical Resources

Vizient

 

Show Notes

[00:25] Bias in AI

[02:32] Perpetuating bias

[02:58] Mitigating bias

[04:04] Does AI inhibit innovation?

[04:43] Changing provider behavior

[05:55] Changing patient behavior

[06:36] Chronic care management: where AI shines

[07:53] Developing AI capability in the organization

 

Links | Resources:

Machine Learning in Medicine (NEJM—April 4, 2019) Click here

HYPE Randomized Clinical Trial Click here

Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data (JAMA Internal Medicine—Nov 2018) Click here

On Deep Learning for Medical Image Analysis (JAMA—Sept 18, 2018) Click here

Artificial Intelligence in Health Care: Will the Value Match the Hype? (JAMA—June 8, 2019) Click here

Artificial Intelligence in Health Care: A Report from the National Academy of Medicine (JAMA—Feb 11, 2020) Click here

Artificial Intelligence: Promise, Pitfalls and Perspective (JAMA—June 23/30, 2020) Click here

 

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