In a community like Mount Washington, many patients receive care across multiple settings—urgent care, hospital systems, imaging centers, and follow-up clinics. Problems can happen when information is moved quickly and decisions are supported (or nudged) by software.
Common ways this can appear in medical records include:
- Triage and risk scoring that routes you to the wrong level of care or delays escalation
- Imaging review support where an automated prompt influences what a clinician focuses on
- Lab interpretation workflows where abnormal findings aren’t acted on promptly
- Documentation tools that shape what gets recorded, then what gets treated
The key point is not whether AI “meant to” cause harm. The legal question is whether the care team and the facility met Kentucky’s standard of reasonable clinical decision-making—especially when the patient’s symptoms and objective test results should have triggered different action.


