| The skinny Healthcare is in the middle of an AI gold rush, with investors, providers and payers pouring more money than ever before into new technology. But according to a group of top healthcare CFOs and industry leaders gathered at HFMA's annual conference, much of that investment is destined to disappoint. The problem isn't necessarily the AI tools themselves — it's more that most healthcare organizations are bolting these sophisticated models onto infrastructure that is decades-old. Seema Verma, former CMS administrator and general manager of Oracle Health & Life Sciences, argued the infrastructure most providers are working with today is simply too antiquated to support what AI actually requires — namely, access to real-time, unified data across clinical, financial and operational systems. A formula for AI prioritization The demand for AI innovation already far outpaces any health system's ability to pay for it, which makes getting the foundational work right even more critical, noted Mike Marks, CFO of HCA Healthcare. His formula for prioritization is: clinical systems first, then operations and administrative functions. The logic is patient-centered. Clinical systems touch care delivery directly, so improvements there have the most immediate impact on health outcomes, Marks explained. Operations and administrative functions matter too, but in Marks' view, they should be optimized in service of a system that is already delivering high-quality care — rather than the other way around. Bot vs. bot BJC Healthcare CFO Scott Hawig said the current reality of healthcare AI is best captured by what's happening between payers and providers. He painted it like this: two sets of bots, each deployed by opposing sides, endlessly fighting over claims with no one winning. "Bot versus bot — provider revenue cycle bot against the denial insurance bot — is the fundamental problem," Hawig declared. — By Katie Adams |
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