Every AI surface in PatientTrac drafts, summarizes, and flags for a licensed professional to review — it never decides. Model keys stay server-side; clinical judgment stays with the clinician.
PatientTrac uses AI to reduce documentation and administrative burden across the network, not to practice medicine. AI-assisted summaries, drafts, alerts, and suggestions are produced for clinician review; API keys remain server-side; clinical decisions remain with licensed professionals. Founded in 1998, the platform was rebuilt cloud-native with these guardrails designed in, not bolted on.
The same guardrails serve the people who rely on them — the clinicians who review AI output, the teams accountable for compliance, and the patients on the other side of a message.
Each one is a mechanism in the platform, not a policy on a page.
AI runs behind the server, so model credentials are never exposed to the client or the patient's device.
AI proposes; the licensed professional disposes — nothing AI writes becomes part of the record without human review.
Companion's patient-facing assistant supports recovery conversations without diagnosing or prescribing.
AI helps capture the documentation elements relevant to downstream coding review — it does not code the visit for you.
Every AI touch of protected health information is recorded on the same tamper-evident trail as the rest of the record.
AI surfaces sit on the same shared record and one encounter_id as the rest of the network — so the same server-side, clinician-reviewed, audited model applies whether AI is drafting a note, summarizing intake, or answering a recovering patient.
Revenue-cycle and scheduling drafts — AI-assisted suggestions a biller reviews before anything is submitted.
Learn moreIntake summaries — AI condenses a trilingual pre-visit questionnaire into a draft the clinician reviews.
Learn moreNeurobehavioral documentation support — assistive summaries and drafts, with clinical scoring and decisions left to the clinician.
Learn moreCosmetic Surgery & Beauty EMR — assistive operative and post-op documentation drafts, reviewed by the surgeon.
Learn morePerioperative note drafts — assistive documentation across the episode, reviewed before it enters the record.
Learn morePatient-facing recovery assistant — non-diagnostic, care-plan-grounded, routing to the care team and emergencies to local services.
Learn moreStated as mechanisms and limits, not promises: what AI produces for review, and the clinical acts it never performs.
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.
PatientTrac's AI does not diagnose, does not determine severity, does not select treatment, does not guarantee coding, and does not prevent adverse events. Those remain clinical acts and human judgments.
AI supports documentation and revenue-cycle workflows and does not guarantee reimbursement; the E/M level is not surfaced during documentation.
Plenty of software claims to be "AI-powered." PatientTrac states exactly where AI helps and exactly where it stops: server-side keys, clinician review on every clinical surface, a non-diagnostic patient assistant, human-in-the-loop coding, and an audit trail over AI access to PHI. Founded in 1998 and rebuilt cloud-native, it treats AI as an assistant to licensed professionals — never a replacement for them.
Walk through where AI drafts, where a clinician reviews, and how every AI touch of PHI is audited across the connected apps.