# Predictive Psychiatry **Domain:** Computational Psychiatry / Digital Phenotyping / Governance **Doc Type:** Technical and Constitutional Concept Node **Maturity:** Developed ## Definition **Predictive Psychiatry** uses behavioral, physiological, neural, clinical and digital traces to model current mental state or forecast clinically relevant transitions. Potential applications include relapse detection, treatment selection and earlier support. Reliability depends upon measurement quality, validation, population fit, context, uncertainty communication and clinical interpretation. ## Constitutional Boundary Clinical prediction must not silently become administrative classification. A model built to support care acquires a different political character when it changes employment, mobility, custody, insurance, policing or compulsory treatment without meaningful consent and appeal. The transition is: **life traces → inferred state → predicted transition → institutional action** [[wiki/Neuroadaptive Governance|Neuroadaptive Governance]] begins when the inferred state becomes an input to interventions selected for a governing system's optimization objective rather than the subject's goals. ## Westworld Interface [[wiki/Inner Journeys Recovery Center|Inner Journeys]] sits inside Rehoboam's outlier-management architecture. Treatment and trajectory normalization become difficult to separate because the same system predicts the person and controls the intervention environment. ## Source - [Diagnostic digital phenotyping in schizophrenia-spectrum disorders — _npj Digital Medicine_](https://www.nature.com/articles/s41746-025-02194-w) ## See Also [[wiki/Digital Phenotyping|Digital Phenotyping]] · [[wiki/Computational Psychiatry|Computational Psychiatry]] · [[wiki/Neuroadaptive Governance|Neuroadaptive Governance]] · [[wiki/Prediction Is Not Jurisdiction|Prediction Is Not Jurisdiction]] · [[wiki/Algorithmic Governance|Algorithmic Governance]]