
@ShahidNShah
Artificial intelligence has the potential to improve clinical workflows and patient outcomes and experiences, but it’s not a magical fix to healthcare’s problems. In order for AI use cases to be successful, they need to be built on a solid foundation that includes the cloud, interoperability and data governance. All of these concepts, combined with a patient-centered mindset, can help the industry make strides in care delivery and health equity. At the recent AWS Summit in Washington, D.C., hosted by Amazon Web Services, a panel of healthcare IT experts discussed the ways that AI, the cloud, interoperability and data can be used to drive positive change in population health.
At Mount Mary University in Milwaukee, occupational therapy faculty and students wanted to find ways to better connect with marginalized patient populations, especially those with a mistrust of the medical system. What they ended up creating was an app powered by generative AI. The Culturabot app was trained on data from across cultures and allows clinicians to better understand, connect with and treat their patients from historically overlooked patient populations.
Continue reading at healthtechmagazine.net
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