Electronic Health Records and clinical decision support has remained remarkably simple for decades; there's great potential (and need) for AI to guide clinicians on tougher questions of patient care. But these advanced techniques have their own limitations - sometimes quite insidious - that can lead to bad decisions and worse care. Nick, Sudipto and Darryl discuss the problem of bias in AI, and new ways to hopefully address it. 

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