AI and identifying the risk of cardiac arrest – Part 2

On this episode of our award-winning podcast, two physician experts continue examining how artificial intelligence can identify patients at risk for a cardiac event.

 

Guest speakers:
Sanjaya Gupta, MD, MBA
Cardiologist, Electrophysiologist
St. Luke’s Mid-America Heart Institute

 

Alan Cheng, MD, MBA
Chief Medical Officer, Cardiac Rhythm Management
Medtronic

 

Moderator:
Tomas Villanueva, DO, MBA, FACPE, SFHM
Senior Principal
Clinical Operations and Quality
Vizient

 

Show Notes:

[01:04] Rationale for the Mpirik artificial intelligence platform in clinical decision-making

[02:19] Eliminating disruptive alerts

[02:58] Six months of data

[04:22] The need for the new technology

[05:10] Predictive analytics in decision support

[06:03] Not a fad

[07:25] Mimicking physician decision-making

[08:19] The clinical team members

 

Links | Resources:

To contact Modern Practice: modernpracticepodcast@vizientinc.com

To contact Dr. Gupta: sgupta@saint-lukes.org

To contact Dr. Cheng: alan.cheng@medtronic.com

Sudden cardiac arrest avoidance through collaboration and AI (aptitude release)

A case study: MDT_SFH_Mpirik Case Study.pdf

 

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