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Correct execution of a device-software calculation does not by itself demonstrate that its output usefully answers the intended clinical question. Technical verification and clinical evaluation complement each other; treating them as identical can hide gaps.
Define the assessment
Write the claim chain from input to calculation, output, user interpretation and intended effect. Identify the test or clinical evidence supporting each link. More technical tests do not automatically fill a missing clinical link; suitability of the evaluated population and actual use context also matter.
Worked example
For example, software converts a physiological signal into a score. Unit tests establish correct calculation, but the decision intended users will make with the score remains unclear. The team separates the user task, supporting association evidence and remaining clinical question instead of describing computational success as clinical benefit.
Practical checks
- Match each performance claim to the test or clinical evidence that actually examines it.
- Assess whether technical test examples represent intended data conditions.
- Evaluate how the output enters the user’s decision and how it may be misinterpreted.
Decision and limitations
The assessment should explain which questions technical and clinical findings answer. Strong evidence in one area should not obscure uncertainty in another. Qualified reviewers determine the appropriate scope for intended use and risk; incomplete links should not become unconditional claims.
Frequently asked questions
- Can technical tests replace clinical evidence?
- They generally answer different questions. Explain their relationship through the intended use.
- Does clinical data eliminate technical testing?
- No. Reliable software operation and clinical meaning of its output remain distinct assessment areas.