From Human-Function Relations to Whole-Person State Understanding and Future Prediction:A Demand–Capacity–Engagement Temporal Specification, Prior-Art Comparison and Falsifiable Validation Protocol

Background. Longitudinal patient models, physiological world models, biophysical Physiome efforts, computable ICF and whole-person health measurement already address important parts of state, context and change [6–8,12–17,20]. Their existence prevents a claim that temporal modelling of the whole person is itself unprecedented. The remaining scientific question concerns the independent value, if any, of demand-conditioned human-function relations for evidence-qualified interpretation and future forecasts. Question. For one continuing person, does explicitly retaining the distinctions among internal/external demands, condition-specific available bodily capacity, independently observed actual functional engagement, outcome, burden, recovery, context and evidence improve present-state judgments or time-bounded future prediction compared with information-matched alternatives? Approach. We retain the UOHF/HFWM formal boundaries and propose a two-clock temporal relational interface separating bodily-event time from knowledge availability, with ex-ante future demand/context scenarios explicitly isolated from realized future information. We compare recent closely related models, define discriminating paired-case benchmarks, specify safeguards against unidentifiable capacity/engagement claims, and outline falsifiable prediction comparisons intended for future preregistration. No prospective study has yet been registered or executed. Status. This paper proposes methods and prospective empirical tests. No new longitudinal forecasting, independent relationship adjudication, demonstrated mechanistic recovery, clinical benefit or intervention effect is reported. Earlier author-run reference-code checks [25] address selected engineering contracts only; their pass counts do not support biological forecasting accuracy or establish independent scientific validation. Keywords: whole-person computation; human function; UOHF; HFWM; temporal understanding; longitudinal prediction; functional engagement; capacity; digital twins; evidence qualification.