As healthcare organizations become more data-driven, the challenge isn’t access to information—it’s aligning on how to interpret it and act on it. We’ve spent years trying to normalize healthcare data. FHIR, terminology models, and now AI have all moved us closer to structured, connected information. That progress is real. But something else is happening alongside it. As systems become more precise, the burden of interpretation doesn’t disappear—it increases. More detailed co