Ever since generative artificial intelligence tools such as ChatGPT and DALL-E became publicly available near the end of 2022, there has been constant interest around how such solutions could be used in healthcare. Large language models that may have been discussed in more specialized spaces less than two years ago are now part of the mainstream.
Healthcare technology conferences frequently hosted education sessions and keynote speakers to discuss generative AI’s potential. Vendors such Epic, Microsoft, Amazon Web Services and Google Cloud announced emerging AI-powered capabilities. And large healthcare organizations began sharing their findings or expressing plans for pilot programs.
Interest in AI continues to grow: About 75 percent of healthcare organizations are testing or have plans to scale generative AI across the enterprise, according to 2023 Deloitte research. Amid this excitement, how can other healthcare leaders cut through the buzz to decide if an AI solution is right for their organization?
Although it may seem overwhelming to parse through all the information surrounding emerging AI tools, healthcare IT decision-makers can take a step back. When healthcare organizations center their strategic missions and their end users, they can gain clarity on how to choose an AI solution that works for them.
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