While at the HIMSS 2022 conference, I sat down with Bob Rogers, AI Expert in Residence Center for Digital Health Innovation at UCSF, and Sri Ambati, CEO & Co-Founder at H2O.ai, to learn about a really interesting project that Rogers was working on at UCSF. When he started the project, he asked a number of experts about how to solve the problem and they said that it wasn’t possible. Rogers turned to H2O.ai and their Document AI solution to solve the problem.
To learn all about this project and some of UCSF’s efforts with AI, check out the interview below.
As Rogers and Ambati shared, this project was a real partnership between UCSF’s Center for Digital Health Innovation and H2O.ai. For anyone that’s done an AI or machine learning project, you know that these projects have to be a partnership. Unlike other health IT projects, AI is something that continues to learn and get better and therefore requires an ongoing relationship with a vendor to continually improve the results.
When you hear the outcomes Rogers describes in the video above, you can see why projects like this are so important. Plus, executing a successful AI project that actually improves patient outcomes and helps an organization become more efficient lights the fire for other people to use similar capabilities in new ways.
AI projects require more imagination, creativity, and exploration as compared with other projects. That’s one reason why some healthcare organizations have struggled to operationalize and scale AI in their organization. However, it’s amazing to see how a successful AI project like the one featured in the video above can spark the creativity of an organization and lead organizations to the start of a successful AI journey.
Learn more about H2O.ai: https://h2o.ai/
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