Healthcare AI systems frequently operate with incomplete instructions, ambiguous records, and conflicting information. A robust system should not assume that every request is sufficiently specified for execution. Developers can implement clarification mechanisms that identify missing parameters, detect conflicting values, and assess whether uncertainty materially affects the intended action. The response should be risk-sensitive. Minor ambiguity may be handled through a clearly stated assu...