Behavioral Health

Runs the full 15-step BH revenue cycle—eligibility verification with carve-out cascade, CMS-0057 FHIR prior auth, parity-aware claim generation, denial appeals, and patient payment reconciliation—built specifically for BH coding and adjudication paths.

Runs the full ABA therapy session lifecycle—scheduling, data collection during the session, note generation against ABA-specific documentation standards, supervision validation, and clean billing with telehealth and concurrent-supervision code logic.

Takes a patient from first contact through validated assessment, rules-based acuity triage, condition-weighted provider matching, confirmed appointment, and post-match engagement monitoring—with clinical safety gates at every step.

Scores BH appointment no-show risk, delivers tiered reminders calibrated to risk, handles cancellations and reschedules conversationally, and re-engages patients at risk of dropping out—routing clinical decisions to humans.

Augments human therapy with evidence-based between-session conversational support (CBT, DBT, MI), monitors continuously for safety risks, and escalates crises to clinicians with zero delay. Never replaces a clinician—amplifies one.

Runs the 9-step BH outcome measurement pipeline—active PHQ-9/GAD-7 administration, passive voice/language analysis from session recordings, predictive modeling on treatment response, and payer-ready measurement-based care reporting.

Ingests session transcripts, patient messages, wearable data, and assessment scores to detect imminent risk of suicide, self-harm, or substance relapse—then coordinates appropriate clinical response with documented escalation paths.

Continuously scans clinical notes, validates consent, monitors parity at the point of care, detects documentation deficiencies, and tracks remediation—keeping BH practices audit-ready without an in-house compliance army.

Runs an 11-step workforce optimization pipeline for BH provider organizations—credential monitoring, panel capacity tracking, demand forecasting, scheduling optimization, and burnout signal detection—with humans approving all clinician-impacting decisions.