Source: HealthTech Magazine
From a federal government perspective, Elisabeth Myers, deputy director of policy at the Office of the National Coordinator for Health IT, explained that it’s important for healthcare organizations to understand how they can get data that’s useful from the beginning of their AI journey. “We talk a lot about AI, and one of the things that goes along with that is understanding what AI should be good at and how to set it up to do that. There’s not a magic wand that’s going to make that data good. We need to think about the data that is necessary for AI to function and to get to the use case that you’re looking for,” said Myers. “You don’t want AI making inferences on inaccurate and incomplete data, especially when we start talking about health equity and disparities.” Ultimately, Myers said, it’s not just about quality of data but also collected granular data that gives health systems more insight into their patient populations.