Medication alerts fail when they optimize for detecting theoretical risk rather than supporting a real prescribing decision.
The result is familiar: too many interruptions, too little context, and declining attention to the alerts that matter most. Improving this requires more than adjusting a severity threshold.
Five properties of a useful alert
- Specificity — it explains the mechanism and the concrete risk.
- Context — it accounts for dose, route, timing, laboratory values, and patient factors when relevant.
- Actionability — it offers a realistic next step, not merely a warning.
- Traceability — it links the recommendation to evidence that can be inspected.
- Proportionality — its prominence matches the urgency and preventability of harm.
Evaluate the workflow, not only the rule
Rule-level sensitivity is important, but implementation quality also depends on when the alert appears, who receives it, and what they can do next. A technically correct alert delivered at the wrong moment may have no clinical value.
Medication decision support should therefore be evaluated as a sociotechnical system: knowledge, data, software, interface, workflow, and human judgment working together.