Showcase
Clinical Operations, In Action
Every core module rendered from the generated GUI — patient records, staff directory, scheduling, encounters, diagnostics, facilities, and prescriptions.
A complete Patient-Practitioner-Appointment-Encounter platform with 1-to-1 biological traceability for tissues, organs, and implants — from tissue bank to patient — plus 6 pre-configured NL analytics dashboards. Built on HL7 FHIR R4 + ISBT 128, with SNOMED CT and ICD-11 compatibility.
Every user journey, the dashboard, and the AI Management Console — walked end to end.
A single application that serves every clinical and operational role in a mid-size clinic.
Receptionists, nurses, lab technicians, radiologists, practitioners, and the Medical Director — every role that needs a clinical system.
Staff coordinate bookings, manage schedules, track encounters, record observations, order lab services, prescribe medications, and manage facility locations.
The Medical Director queries clinic utilization, patient wait times, lab result turnaround, operational efficiency, and clinical outcomes — all in plain English.
Tissue coordinators and surgeons track every cornea, tissue, and implant from the eye bank through storage, patient assignment, and implantation — with an immutable, system-generated audit trail for regulatory compliance.
Purpose-built data models, workflows, and views — generated by the VeloIQ™ framework and refined for the vertical.
Full patient profiles — demographics, emergency contacts, blood type, allergies. FHIR Patient resource.
Staff directory with license tracking, specialties, and role assignments across locations.
Appointment lifecycle with availability slots, status workflow, and cancellation reasoning.
Clinical encounters, observations with reference ranges, and service requests for lab/imaging.
Facility tracking — building, floor, type, and status per clinic site.
Medication requests with dosage, frequency, route, duration, refills, and pharmacy notes.
Tissue banks, biologically derived products (ISBT 128 DIN), surgical procedures, an immutable audit log, and viability/consent documents — status workflow from request through implantation.
Every core module rendered from the generated GUI — patient records, staff directory, scheduling, encounters, diagnostics, facilities, and prescriptions.
From tissue bank registration to a completed corneal transplant — every step tracked, every status change logged automatically.
Ask questions in plain English — "Show me all corneas expiring this week", "Which practitioner implanted cornea F045526000017?" — and get bar charts, pie charts, donut charts, and trend lines. No SQL required.
VeloIQ™ MedPulse Clinic & Service Coordinator ships as a complete, working application — not a template you still have to build.
Arrives with realistic sample data plus a clean production-ready schema. Explore the app instantly, then switch to the clean database when you go live.
7 pre-configured NL chats with 49 sample sentences — patient lookup, appointment management, lab results & vitals, prescription management, and surgical/biological traceability (native), plus clinical analytics and operational efficiency (agentic/AI-powered).
One veloiq run and the full application is live: REST API, React frontend, admin back-office, and AI console — all on your own infrastructure.
Automated smoke and regression suites ship with the app, so every deployment can be validated before users touch it.
Measurable outcomes for every role in your organization — from daily operators to strategic decision-makers.
Medical Director sees appointment utilization, no-show rates, and practitioner workload at a glance via pre-built NL dashboards.
Slot-based scheduling with duration tracking reduces patient wait times and optimizes room/practitioner allocation.
FHIR R4 models enforce structured clinical data — observations have reference ranges, encounters carry ICD-11 diagnoses, medications follow standard dosage formats.
All models map to HL7 FHIR R4 resources. Patient, Practitioner, Appointment, Observation, ServiceRequest — every record is one API away from an EHR integration.
Every biological product status transition is logged automatically — who, when, from which terminal — and the log itself cannot be created, edited, or deleted by anyone, including administrators.
An approved tissue request fires a webhook carrying the full order — ready to trigger a purchase order in Microsoft Dynamics or any ERP that can receive a POST.
Data models and metadata that speak your industry’s language — because compliance and interoperability start with the schema.
| Area | Standard | Models mapped |
|---|---|---|
| Clinical | HL7 FHIR R4 | Patient, Practitioner, PractitionerRole, Appointment, Slot, Encounter, Observation, ServiceRequest, MedicationRequest, Location — 10 FHIR resources |
| Biologicals & Tissues | HL7 FHIR R4 | BiologicallyDerivedProduct, Procedure, Organization (TissueBank), DocumentReference (BiologicalDocument), AuditEvent (BiologicalAuditLog) |
| Tissue Identification | ISBT 128 | 13-character Donation Identification Number (DIN) on every biologically derived product, ISBT facility code on every tissue bank |
| Terminology | SNOMED CT | Clinical terminology for observation codes, diagnoses, and biological procedure findings |
| Classification | ICD-11 | International Classification of Diseases for diagnosis coding |
| Lab | LOINC | Logical Observation Identifiers Names and Codes for lab results |
Every VeloIQ™ vertical application is versioned source code — not a locked SaaS. Fork, extend, integrate, or white-label.
Each module is a self-contained VeloIQ™ unit with its own models.py, generated GUI views, and REST API. Add or remove modules as your needs evolve.
Bring in IQVigilant for NL analytics and exception alerts, Advanced Development for no-code journeys and dynamic business rules — or install other VeloIQ™ extensions from the community. Configured declaratively in veloiq.toml.
Three configurable journeys ship out of the box — pre-consultation intake with automatic abnormal-vitals flagging, AI-assisted diagnosis with abnormal lab review, and tissue allocation to implant — authored visually in the Journey Builder, no code required.
Add custom business logic in custom_api.py, override page templates per model:action, or add SQLAdmin views for advanced administration.
Switch from the shipped SQLite to PostgreSQL, MySQL, or Snowflake with a single connection string change. Schema migrations are tracked via Alembic.
AI-ready with 1-User Natural Language · 10 Exception Alerts — learn about IQVigilant capabilities · Configurable with UI Configuration & Guided UX Flows · Dynamic Business Rules · Data Import Engine — learn about Advanced Development capabilities
Get in touch with the VeloIQ™ team to discuss deployment, customization, and licensing.
