AI and identifying the risk of cardiac arrest – Part 1

Cardiac arrest has a fatality rate approaching 100%, and this episode of our award-winning podcast will examine ways artificial intelligence can identify at-risk patients before an event happens.

 

Guest speakers:
Doug Beinborn, MA
Associate Principal
Vizient

 

Logan Brigman, BS
Chief Executive Officer
Mpirik

 

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

 

Show Notes:

[01:17] Sudden cardiac arrest and its impact

[01:43] The role of AI in assisting the identification of cardiac arrest

[02:58] Meeting the criteria and key phrases in the patient notes

[04:12] Ejection fraction as an indicator

[05:05] Screening and physician discussion need formalizing

[06:50] Process in using the screening tool

[08:35] Who and what needs to be in place for the process to work

[10:31] Sites involved in the protocol

[11:18] Other applications in the future

[12:14] AI used to meet the challenges in healthcare today

 

Links | Resources:

To contact Modern Practice: modernpracticepodcast@vizientinc.com

To contact Doug Beinborn: douglas.beinborn@vizientinc.com

Mpirik website: www.mpirik.com

A case study: MDT_SFH_Mpirik Case Study.pdf

 

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