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The danger of AI hallucinations in healthcare: why confidently incorrect AI cannot enter clinical workflows
The greatest risk of AI in healthcare isn’t that it makes mistakes, but that it makes them with absolute conviction. In a clinical setting, a plausible error is far more dangerous than an obvious glitch. While a garbled sentence or wrong century gets caught in seconds, a fluent, well-formatted recommendation can easily slip past busy…
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Why Onboarding Breaks When the Reasoning Behind Decisions Is Scattered Across Documents
A new expert can find any rule in seconds. Reconstructing why it exists can take days. That gap is where most of the hidden cost of onboarding lives. A new expert joins the organization. They know the science. They understand the field. They have years, sometimes decades, of experience behind them. Yet three months later,…
