Many patients hear “the computer suggested it” and assume the decision was objective. In reality, the legal question is whether the care team met Tennessee’s expectations for reasonable medical judgment.
A technology-assisted system can play a role in:
- Triage and routing (who gets seen first, what gets ordered, what gets deprioritized)
- Diagnostic support (risk scores or probability outputs guiding next steps)
- Imaging and test interpretation (tool-assisted review or flagged findings)
- Documentation workflows (what gets recorded, how symptoms are summarized, what appears “missing” later)
Even if an AI or decision-support tool is designed to help, it still requires appropriate clinical verification. If a provider relied on an output without adequate confirmation—or failed to act on conflicting objective findings—the delay or error may become legally relevant.


