From the course: Responsible AI: Principles and Practical Applications
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AI in healthcare
From the course: Responsible AI: Principles and Practical Applications
AI in healthcare
Before we take a deep dive into issues with the use of AI in healthcare, let's hear from Dr. Ziad Obermeier, Blue Cross of California Distinguished Associate Professor of Health Policy and Management at the UC Berkeley School of Public Health. His research focuses on the intersection of machine learning, medicine, and health policy. We want to find people who are going to get sick, like people who are going to have an exacerbation of their heart failure or their emphysema or something like that, so that we can get them on the right medications. And so we want to find people who are going to get sick, but there's no variable in our data set called get sick or health or anything like that. And so when you're building an algorithm, algorithms are very literal, a variable in a data set. They looked at who generated a lot of healthcare costs, and they use that as a proxy for who needed things for their health. And the problem is that not everybody gets care when they need it. And certain…
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