Follow the proposed causal path
For a warning system to help, it may need to identify risk, reach the right person, prompt an appropriate response, and lead to a beneficial intervention. Failure at any stage can interrupt the path from prediction to outcome.
The model score addresses only part of that sequence.
Choose outcomes that fit the claim
| Claim | Relevant evidence |
|---|---|
| Detects a condition | Appropriate diagnostic-performance evaluation |
| Speeds a decision | Timing measured in the intended workflow |
| Reduces workload | Workload and displaced tasks measured |
| Improves health | Suitable patient-outcome evaluation |
A faster decision is not necessarily a better decision. A reduced task time can coexist with additional review work elsewhere.
The comparison needs care
Randomization can help estimate causal effects when feasible and appropriate. Other designs need explicit attention to concurrent changes, selection, and confounding. A before-and-after improvement alone may have several explanations.
Report uptake and implementation alongside outcomes so readers can understand what was actually tested. The useful question is whether this system, used in this way, changes outcomes that matter. “Accurate” and “beneficial” should remain separate conclusions until evidence connects them.
