Many diagnostic error claims don’t start with “AI went wrong.” They start with a familiar Albany scenario—often involving time pressure and fragmented care.
Common setups include:
- Urgent care or ER visits after commuting/holiday schedules where symptoms are documented briefly and follow-up instructions are misunderstood.
- Test results that appear in a portal but aren’t acted on promptly (or aren’t communicated clearly), especially when patients are busy or traveling.
- Handoffs between providers—for example, a primary care clinician, a specialist, and a hospital system each assuming the next step is already in motion.
- Imaging and lab workflows where automated flags or decision-support suggestions influence what gets ordered, reviewed, or escalated.
- “It was caught later” outcomes that are painful for families—because later correction doesn’t automatically answer whether the earlier process met the standard of care.
In California, these cases often turn on documentation and timelines—what was known, when it was known, and what actions a reasonably careful provider would have taken.


