Seven connected clinical applications on one secure data layer — sharing a single patient record and one universal encounter_id from intake to recovery.
PatientTrac is not a monolith and not a bundle of disconnected tools. It is a network: each specialty application is purpose-built, yet every one reads and writes the same patient and encounter records, governed by row-level security and a tamper-evident PHI audit layer. Founded in 1998, the platform has been rebuilt cloud-native around that shared clinical spine.
PatientTrac fits multi-specialty groups and single-specialty clinics alike — wherever a patient moves across schedulers, specialists, procedures, billing, and follow-up.
Every capability below sits on the same clinical data layer. Nothing is bolted on.
A single clinical repository is the source of truth for every application — no duplicate charts, no re-keyed records.
One universal encounter key lets clinicians move between specialty apps on the same visit without losing context.
Each application is purpose-built for its specialty and speaks the same shared record.
AI assists the clinical and billing workflow — always for human review, never as an autonomous decision-maker.
Concrete mechanisms — not marketing labels — carry protected health information safely and portably.
The same connected experience scales across languages, locations, and disciplines.
A patient scheduled in Forge flows into intake, the specialty encounter, the procedure record, billing, and post-visit monitoring — all bound by one encounter_id, all writing back to the same clinical spine.
Patient management, scheduling & revenue-cycle hub — the source of the encounter_id every other app consumes.
Learn moreIntelligent patient intake — a trilingual pre-visit questionnaire that pre-fills the encounter before the patient sits down.
Learn moreNeurobehavioral health EMR — psychiatry, psychology, and neurology on one shared record, with DSM-5 reference data built in.
Learn moreCosmetic Surgery & Beauty EMR — operative and post-op documentation, integration-ready with existing practice-management systems.
Learn moreAmbulatory surgery center operations — real-time visibility across cases, rooms, supplies, and revenue.
Learn morePerioperative & procedural documentation — one record for the whole episode, pre-op to recovery, tied back to the encounter.
Learn morePatient engagement & recovery monitoring — RTM-aligned check-ins that close the loop Profiler opens, with care-team alerts.
Learn moreIntelligence 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 either force every specialty into one generic screen or sell a bundle of tools that never truly share data. PatientTrac does neither: purpose-built applications sit on a single clinical spine, bound by one encounter_id, with server-side AI and concrete compliance mechanisms woven through — multilingual, multi-site, and multi-specialty from the first record to the last. Founded in 1998, it was rebuilt cloud-native for exactly this.
Walk a real encounter from intake to billing across the connected apps, and see the shared record move with the patient.