From neurobehavioral health to the surgery center, each PatientTrac application is designed for its specialty — and every one shares the same patient record and one universal encounter_id.
PatientTrac does not force every discipline onto one generic screen. Each specialty runs its own purpose-built application, yet all of them read and write the same clinical spine — governed by row-level security and a tamper-evident PHI audit. Founded in 1998, the platform was rebuilt cloud-native so a patient can move across specialties without leaving the record behind.
Whether you run one discipline or many, PatientTrac fits the way your specialty actually works — and connects it to the rest of the care journey.
Six specialty areas, each served by a purpose-built application on the shared PatientTrac Network. Explore the one that fits your practice.
Psychiatry, psychology, and neurology on one shared record, with DSM-5 reference data built in and AI-assisted note drafts for clinician review.
Learn moreCosmetic Surgery & Beauty EMR — operative and post-op documentation for aesthetic practices, integration-ready with existing practice-management systems.
Learn moreReal-time visibility across cases, rooms, supplies, and revenue for the ambulatory surgery center.
Learn moreOne record for the whole procedural episode — pre-op to recovery — tied back to the encounter.
Learn moreIntelligent, trilingual pre-visit intake that pre-fills the encounter before the patient sits down.
Learn moreRTM-aligned recovery check-ins with care-team alerts and a non-diagnostic, non-prescriptive patient assistant grounded in the care plan.
Learn moreA specialty application is never an island. A patient scheduled in Forge flows into Profiler intake, the specialty encounter in Mind, Revela, Continuum, or PatientTrac Ambulatory, and post-visit monitoring in Companion — all bound by one universal encounter_id, all writing back to the same secure clinical data layer. New specialties join the network without a new database.
Intelligence and compliance are stated as mechanisms, not promises — what the platform actually does, and where the human stays in control.
AI-assisted summaries, drafts, alerts, and suggestions for clinician review; API keys remain server-side; clinical decisions remain with licensed professionals.
Patient-facing AI in Companion is non-diagnostic and non-prescriptive, grounded in the care plan, routes patients to the care team, and directs emergencies to local services.
Row-Level Security on every table, a hash-chained PHI audit, TOTP multi-factor authentication, server-side keys, organization-level tenant isolation, ROI and accounting-of-disclosures, C-CDA generation, and EHI export.
Revenue-cycle workflows support standards-based claim generation (X12 837P), ERA/835 posting, and documentation completeness; they support billing workflows and do not guarantee reimbursement.
Most vendors make you choose: a generic EMR that flattens every specialty, or a point tool that never talks to the rest of your practice. PatientTrac gives you both depth and connection — a purpose-built application for each specialty, all sharing one patient record and one encounter_id, with server-side AI and concrete compliance mechanisms woven through. Founded in 1998, it was rebuilt cloud-native for exactly this.
Walk a real encounter through your specialty application and watch the shared record move with the patient — from intake to recovery.