Follow-up: distinguish a change from an explanation

A follow-up consultation asks a different question from the first visit. It asks what changed, under which conditions and whether that change matters to the patient. A score, a description of daily functioning and an account of treatment experience may each contribute something different. A useful longitudinal record should keep them connected without flattening them into one number.

Comparability is the first methodological requirement. If an assessment was performed under different conditions, by a different method or with a different scoring system, a direct numerical comparison may be misleading. The record should retain the method, date and relevant circumstances. Missing information should remain visibly missing rather than becoming a zero or a presumed normal result.

The next distinction is between observation and attribution. An improvement after an intervention establishes a temporal sequence, not necessarily a causal effect. Other changes in the person’s circumstances may matter. A monitoring interface should help a specialist examine competing explanations rather than presenting a change in a chart as proof that a treatment worked.

Patient-centred goals add another dimension. Completing an everyday activity, understanding instructions or participating in a conversation may be important even when a summary score changes little. Goals need a clear description and an agreed way to review progress. Their meaning should not be inferred automatically from a diagnosis label.

AI assistance can be evaluated as a tool for preparing a comparison: identify the relevant visits, preserve measurement methods, point out missing data and draft questions for discussion. The reference assessment should check both what the summary includes and what it omits. Contradictory observations and unchanged difficulties can be as important as improvements.

The practical objective is a repeat consultation with a visible starting point: what was agreed, what was observed and what now needs a decision. For the patient, this can make the purpose of follow-up more understandable. The platform’s research task is to support this process faithfully; claims about therapeutic effectiveness require evidence beyond the interface itself.