Many healthcare systems use technology to support clinical decisions—such as clinical decision support, imaging review tools, risk scoring, or documentation assistance. The issue isn’t that technology exists; it’s what happens when the human review, verification, and escalation steps don’t catch an error.
In Crystal Lake, we commonly see problems show up in the “real-world handoffs” that happen when people are seen across settings—urgent care visits, emergency department evaluations, follow-up with specialists, and lab/imaging results that arrive after a patient has already left.
If an AI or automated output influenced a diagnosis, it may matter legally because a tool’s recommendation is supposed to be treated as information—not a substitute for clinical judgment.


