The following represents disclosure information provided by authors of this abstract. The program committee has reviewed all presenting author disclosure reports, identified potential conflicts of interest, and implemented strategies to manage those areas of conflict, where appropriate. All relationships are considered compensated. Relationships are self-held unless otherwise noted. I = Immediate Family Member, Inst = My Institution
 
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Acceptability of a machine learning-powered clinical decision support system aiding serious illness conversation and its impact on clinical outcomes: A pilot study.
 
Teja Ganta
No Relationships to Disclose
 
Stephanie Lehrman
No Relationships to Disclose
 
Rachel Pappalardo
No Relationships to Disclose
 
Irena Durkovic
No Relationships to Disclose
 
Shira Lichtman
No Relationships to Disclose
 
Brooke Tsembelis
No Relationships to Disclose
 
Mark Liu
Consulting or Advisory Role - Bristol-Myers Squibb
 
Robbie Freeman
No Relationships to Disclose
 
Arash Kia
No Relationships to Disclose
 
Prathamesh Parchure
No Relationships to Disclose
 
Alla Keyzner
No Relationships to Disclose
 
Madhu Mazumdar
No Relationships to Disclose
 
Aarti Sonia Bhardwaj
No Relationships to Disclose
 
Cardinale B. Smith
Honoraria - AstraZeneca
Consulting or Advisory Role - Bristol-Myers Squibb
Speakers' Bureau - Teva