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Jack Moore - Improving Hospital Efficiency and Addressing Racial Bias in Medicine with AI
Media Type |
audio
Categories Via RSS |
Technology
Publication Date |
Nov 30, 2020
Episode Duration |
01:12:05

Jack Moore is a product manager at Qventus, a healthcare start-up based out of Mountain View, California. In this episode, we go into depth about how he and his team are using machine learning to improve the efficiency of hospitals such as the University of Minnesota’s MHealth system. One example we discuss is how Qventus builds and deploys models to improve patient care and reduce ICU bed wait times. At the end, we spend time talking about bias and race in medicine and how we can use AI to combat the propagation of such biases.

Interviewer: David Wu

Producer: Aaron Schumacher

Time Stamps:

Path to healthcare AI and Qventus: 01:00

What does Qventus do 04:15

Story behind Qventus 09:00

What if the AI model and physicians disagree? 15:00

Structure of the Qventus AI models + explainability 21:00

Integration with Epic 30:00

What Qventus use looks like as a provider 36:00

Cool definition of data science 42:00

AI to reduce health inequalities and racial bias in medicine 58:00

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