The promise of clinical software is compelling: notice patterns, reduce variation, and give specialists another signal when time is scarce. But a recommendation is never the whole decision.
Data quality, local equipment, staffing, patient history, and the way a tool fits into a crowded workflow all affect what happens next. A system that performs well in one hospital may create different trade-offs in another.
The right question is not whether clinicians or algorithms should decide. It is how responsibility, review, and disagreement are designed when both are part of the same room.
This is the layer below the headline.