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, MAAssociate PrincipalVizient
Logan Brigman, BSChief Executive OfficerMpirik
Moderator:Tomas Villanueva, DO, MBA, FACPE, SFHMSenior Principal, Clinical Operations and QualityVizient
Show Notes:
[01:17] Sudden cardiac arrest and its imp...
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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