In many healthcare settings, decisions don’t come from a single “human judgment” moment. They can be influenced by automation-assisted steps such as:
- symptom checkers and triage routing
- risk scoring used to prioritize or de-prioritize workups
- imaging assistance and interpretation support
- lab result flagging and summary tools
- documentation tools that shape what gets communicated
That matters because a diagnosis is legally evaluated around what providers should have done with the information available at the time—not simply whether a tool produced an output.
In practical terms for Franklin residents, the problem often looks like this: someone presents for care, the process moves quickly, and the system’s recommendation becomes part of the clinical story—before all relevant testing, escalation, or follow-up happens. If the diagnosis later proves wrong or late, the question becomes whether the earlier process met the standard of care and whether the delay harmed your health.


