Misdiagnosis doesn’t usually come from a single “bad call.” It often comes from a chain: incomplete information, rushed interpretation, missed follow-up, or a system that nudged the decision in the wrong direction.
In cases involving AI or automation, the question becomes more specific: How was the tool used, and how did clinicians respond to it? For example, automated triage or risk scoring may influence what tests get ordered, how quickly someone is routed to the right level of care, or what gets documented in the chart.
Our goal is to translate that complexity into a legally useful record—one that shows where the process failed and how it affected your outcome.


