PatientTrac
EMR · EST. 2001
Futuristic AI-Powered Health Informatics

The institutional
record of medicine,
rebuilt for the
age of intelligence.

Since 2001, PatientTrac has architected the data foundation of modern clinical practice. Today, we operate the most comprehensive EMR platform in healthcare — over 550 database tables spanning inpatient and outpatient care, now unified by an AI-native intelligence layer that thinks alongside the clinicians who use it.

A quarter century of clinical engineering.

PatientTrac was founded in 2001 on a then-uncommon premise: that the long-term value of clinical software would not be measured by its interface, but by the depth and discipline of its data model. While the industry chased screens, we built schemas.

What began as a Visual Basic 6 practice management system has matured, over two and a half decades, into a 550-table relational architecture that anticipates the way medicine is actually practiced — across specialties, across settings, across the lifetime of a patient. Every encounter, every diagnosis, every billable code, every clinical observation has a defined place. Nothing is improvised.

We did not adopt artificial intelligence. The architecture we built in 2001 was waiting for it.

That foresight matters now more than ever. The recent emergence of large language models has not required us to rebuild — it has required only that we expose what was already there. Our schemas became prompts. Our normalized clinical vocabularies became context windows. Our cross-specialty integrity became the substrate on which true clinical intelligence runs.

Today, PatientTrac Corp operates four production platforms — a unified scheduling and billing foundation, two specialty clinical EMRs, and a patient-facing intake suite — each serving a specific corner of the care continuum, all sharing the same institutional data spine.

2001
Founding
PatientTrac launches as a Visual Basic 6 practice management system, with a relational database designed for longitudinal patient records — well ahead of industry norms.
2007
Inpatient Expansion
Schema extended to cover inpatient encounters, surgical workflows, operative notes, and post-operative care plans.
2014
Specialty Modules
Behavioral health, plastic and reconstructive surgery, and primary care receive purpose-built clinical schemas — DSM-5, surgical staging, mental status examination.
2020
Cloud Migration
Full migration to PostgreSQL on a HIPAA-compliant cloud foundation. Multi-tenant Row Level Security implemented at the database layer.
2024
AI-Native Rearchitecture
Introduction of the AI hub — no-show prediction, smart scheduling, clinical billing intelligence, and pre-visit triage powered by Claude Sonnet.
2026
PatientTrac Corp
Four-platform institutional architecture launches: PatientTracForge, Revela, PatientTrac Mind, and Patient Profiler — unified by a single 550-table clinical spine.

A schema that became a substrate for thinking machines.

The most sophisticated artificial intelligence is only as useful as the data it can reason against. PatientTrac's twenty-five-year discipline of building a fully normalized, semantically rich clinical data model is precisely what makes our AI features safe, accurate, and clinically defensible — where so many others remain demonstrably dangerous.

550+
Tables of clinically structured data, spanning every dimension of inpatient and outpatient care
01 / Predictive Operations

No-show prediction & smart scheduling

Risk scoring at booking. Slot recommendations that honor provider patterns, insurance intervals, and patient history. Appointment friction, eliminated before it begins.

02 / Pre-Visit Intelligence

AI patient intake with red-flag triage

A trilingual conversational intake captures chief complaint, medications, and severity — then presents the provider with a clinical summary, suggested ICD-10 codes, and emergent-versus-routine triage. The encounter begins informed.

03 / Revenue Integrity

Coding suggestions & denial-risk scoring

At encounter close, the system reads the full clinical context and proposes CPT, ICD, and modifier combinations — with a denial-risk score and a reimbursement estimate. The biller verifies; the AI does not assume.

04 / Operational Telemetry

Wait-time tracking & service recovery

Four-stage timestamps on every visit produce real-time wait analytics by provider, day, and hour. Patients waiting beyond twenty minutes receive an automated apology — the practice never forgets.

cr
Clinical Repository
Patients, encounters, diagnoses, procedures, surgical and behavioral schemas — the core record.
saas
Tenancy & Identity
Organizations, role-based access, MFA, audit logging, and the cross-app session bridge.
terms
Reference Vocabularies
CPT, ICD-10, DSM-5, modifiers — fully indexed, semantically searchable.
ai
Intelligence Layer
No-show scoring, intake summaries, billing suggestions, communications log — the reasoning surface.

Four products. One spine.

Each PatientTrac product is purpose-built for a distinct clinical context — yet every record they generate writes to the same institutional data foundation. A single patient. A single encounter ID. A complete continuum of care.

F
PatientTracForge
Foundation Platform Production · Sprint 7
01 — The Foundation

PatientTracForge

Scheduling, registration, billing, and the AI hub.

Forge is the institutional spine of PatientTrac Corp. It owns patient demographics, insurance, scheduling, encounter creation, and billing — and it routes every clinical visit to the appropriate specialty module via a shared encounter key. Twenty-three appointment types, full international patient support, role-based access, and the AI features that define modern operations.

  • Multi-provider drag-and-drop scheduling with smart slot recommendations
  • Trilingual patient registration — sixteen countries supported natively
  • CPT, ICD-10, and DSM-5 reference data — fully indexed
  • Six-role RBAC with TOTP MFA on admin and provider accounts
patienttracforge.com
02 — Plastic & Reconstructive Surgery

Revela

Clinical documentation for the surgeon's full arc.

Revela is PatientTrac's specialty EMR for plastic and reconstructive surgery, designed around the actual cadence of surgical practice — chart review, pre-operative progress note, operative documentation, post-operative plan. Each tab is purpose-built; each writes back to the unified clinical schema with surgical-specific fields that no general-purpose EMR provides.

  • Four-tab workflow: Chart, ProgNote, OpNote, PostOp
  • Surgical staging, breast examination, reconstruction planning schemas
  • Photo documentation with HIPAA-compliant chain of custody
  • Direct cross-app handoff from PatientTracForge encounter
patienttrac-revela.com
R
Revela
Plastic Surgery EMR Production · Live
M
PatientTracMind
Behavioral Health EMR Production · Live
03 — Behavioral Health

PatientTracMind

A full clinical record for psychiatry and psychology.

Mind is the behavioral health module — built around the four documents that define modern psychiatric care. From the structured Mental Status Examination to the Evaluation & Management note to the longitudinal Care Plan, every clinical artifact lives in a schema designed by clinicians, not adapted from a generic notes table.

  • Patient Chart, Mental Status Examination, E&M Note, Care Plan
  • DSM-5 diagnoses with full specifier and severity support
  • Suicide and self-harm risk assessment with audit-grade documentation
  • Google OAuth on the patient-facing entry surface
patienttracmind.com
04 — Patient Engagement

Patient Profiler

The intake conversation, before the visit begins.

Profiler is the patient-facing intake suite — an eight-step trilingual flow that captures demographics, insurance, medications, and chief complaint, with auto-save and optional cross-app token mode for direct PatientTracForge integration. By the time the patient arrives, the provider is already informed.

  • Eight-step intake flow with localStorage auto-save
  • Trilingual support: English, Spanish, French
  • Token mode for in-network handoff or standalone public mode
  • Writes directly to patient, intake, insurance, and medication tables
patienttracprofiler.com
P
Patient Profiler
Intake Platform In Development · Sprint 8

Five new specialty platforms under construction.

Each of the five modules below extends the PatientTrac institutional spine into a new clinical context, with the same architectural seriousness — purpose-built schemas, native AI features, full HIPAA security posture. Select the modules you'd like early access to and we'll reach out personally as each approaches release.

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Join the early-access waitlist.

Tell us about your practice. We'll keep you informed as each selected module approaches release, and reach out personally to schedule a private briefing.

Your Selection
Select one or more modules above to continue.
By submitting, you agree to be contacted by PatientTrac Corp regarding the selected modules. We do not share contact information.

Built by the people who practice the work.

PatientTrac is led by a founder who has spent twenty-five years inside the data structures of clinical practice — and a leadership team of clinicians and engineers who have spent their careers at the intersection of medicine and software.

FOUNDER · 2001
EST. ARCH
H. Wayne Hayes Jr., Founder and Chief Executive Officer
A Letter from the Founder

H. Wayne Hayes Jr.

Founder & Chief Executive Officer

I founded PatientTrac in 2001 with a conviction that ran counter to the prevailing wisdom of the era: that the long-term value of a clinical software platform would be measured not by its interface, but by the depth, integrity, and discipline of its underlying data model. The industry, then and now, prefers the easier path — chasing screens, dashboards, and workflows. I have spent twenty-five years building schemas.

We did not adopt artificial intelligence. The architecture I began drafting in 2001 was waiting for it.

What started as a Visual Basic 6 practice management system has become a 550-table relational architecture spanning every dimension of inpatient and outpatient care. Behavioral health. Plastic and reconstructive surgery. Pain management. Trauma. Surgical centers. Each specialty extension has been engineered with the same principle: a defined place for every clinical observation, every diagnosis, every billable code. Nothing improvised. Nothing left to interpretation.

That long discipline matters more now than at any moment in the platform's history. The recent emergence of large language models has not required me to rebuild PatientTrac — it has required only that I expose what was already there. Our schemas became prompts. Our normalized clinical vocabularies became context. Our cross-specialty integrity became the substrate on which clinical AI can finally operate safely. Most of our competitors are retrofitting AI onto data models that were never engineered for this moment. We were.

Today, PatientTrac Corp operates four production platforms and is engineering five more. My role, as the company has grown, has shifted from solo architect to founder-CEO — but my standards have not. Every schema is reviewed against the same question I asked in 2001: does this serve the clinician, the patient, and the long arc of medicine? If it doesn't, it does not ship.

I invite you to evaluate PatientTrac on those terms. Talk to me directly. Talk to our customers. Compare our data model line-for-line with anyone in our category. The institutional record of twenty-first-century medicine deserves more than what is currently being shipped — and we are building it.

H. Wayne Hayes Jr. · Founder, PatientTrac Corp · Est. 2001
Clinical Governance

Chief Medical Advisory Council

Multidisciplinary · International

PatientTrac Electronic Medical Records was developed by an elite, multidisciplinary team of international surgeons, psychiatrists, trauma surgeons, and emergency medicine specialists from some of America's most renowned major hospitals. The council also includes several of the world's most successful and accomplished plastic and reconstructive surgeons.

§
International
Surgeons
Multi-system operative care
ψ
Psychiatrists
DSM-5 governance
Trauma
Surgeons
Acute & critical care
Emergency
Medicine
Triage & intake protocols
Plastic &
Reconstructive
Aesthetic & restorative

For years, these visionary clinicians dedicated their unparalleled expertise and countless hours to meticulously designing the sophisticated clinical logic and robust database architecture that serves as the very foundation of the PatientTrac system.

Their deep real-world experience and forward-thinking approach ensure that PatientTrac delivers clinically intelligent, secure, and highly effective electronic medical records software — tailored to the complex demands of modern psychiatric, surgical, and multidisciplinary medical practice.

Council membership · Confidential by design · Available under NDA for institutional partners

A platform spoken of by name.

Healthcare IT
"A schema-first approach in an interface-obsessed industry."
Clinical Informatics
"Among the most thoughtfully normalized clinical data models in production."
Modern Practice
"A rare example of AI deployed safely in a clinical setting."
Behavioral Health Today
"PatientTrac Mind sets a new standard for documentation."

Build the institutional record of twenty-first-century medicine.

PatientTrac is hiring engineers, clinicians, and operators who believe that clinical software deserves the same architectural seriousness as the financial systems that move the global economy. If that resonates, we want to hear from you.

Senior Backend Engineer · Postgres
Clinical Informaticist
AI / ML Engineer
Product Designer · Healthcare
Director of Sales · Practice Markets
careers@patienttrac.com

Begin the conversation.

Whether you represent a single-provider practice, a multi-site group, or an investment partner evaluating the future of clinical infrastructure — we are happy to begin the conversation directly.

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