Human in the Loop: Why the Dentist Always Has the Final Word
4 min read
AI should draft, never decide. How review-before-commit and clear authorship keep clinical accountability with the clinician.
The single most important safety control in any clinical-AI workflow is also the simplest: a human reviews and approves the output before it counts. An AI scribe’s job is to produce a high-quality draft. The clinician’s job — legally, ethically, and professionally — is to decide what goes in the record.
Review-before-commit
A safe design never writes silently into the permanent record. The generated note is shown to the clinician, who can edit any field, before anything is saved or copied into the practice management system. Nothing becomes part of the clinical record without a human act of acceptance.
Designing for genuine review, not rubber-stamping
The risk with any assistant is automation bias — the tendency to accept a confident-looking suggestion without scrutiny. Good tools push against this:
- They make edits frictionless, so correcting the AI is easier than tolerating an error.
- They highlight fields the model inferred rather than heard directly, drawing the eye to what most needs checking.
- They keep the source transcript one click away, so a doubtful entry can be verified against what was said.
Accountability stays put
Professional accountability for the record rests with the registered clinician, and the technology should reinforce that rather than blur it. The dentist is not approving a black box; they are approving a draft they can interrogate. That is the difference between AI as a tool and AI as an unaccountable author.