AI Integration for ezyVet Patient Intake

AI integration targets three primary surfaces within ezyVet's intake workflow: the Online Booking widget, the Client Portal forms, and the front-desk check-in module. The goal is to intercept and enrich data at the point of capture. For example, when a client submits a new patient form via the portal, an AI agent can use ezyVet's API to pre-populate known fields from existing client records, validate contact information, and parse free-text 'reason for visit' descriptions into structured symptoms. This structured data is then written back to the patient's Appointment record and associated Clinical Notes, creating a richer dataset before the veterinarian begins the consult.

The implementation typically involves a middleware layer that listens for ezyVet webhooks (like FormSubmitted or AppointmentCreated). This layer calls an LLM with a prompt engineered for veterinary triage, asking it to extract key entities: symptom severity, duration, affected body system, and urgency indicators. The output is used to score and flag cases, automatically updating ezyVet fields such as Appointment Priority or adding internal notes for the front desk. For high-urgency cases, the system can trigger an automation to send an alert to the clinical team's Slack or Microsoft Teams channel, or even reassign the appointment slot, all while logging these actions in ezyVet's audit trail for compliance.

Rollout should be phased, starting with non-clinical data pre-population to build trust, then moving to symptom triage scoring in a 'shadow mode' where AI suggestions are visible only to admins for validation. Governance is critical: all AI-generated content must be clearly flagged in ezyVet (e.g., [AI-Assisted Triage]), and a human-in-the-loop review step should be mandated for any automated priority changes. This approach turns intake from a clerical task into a clinical decision-support tool, aiming to shift technician time from data entry to patient care. For related architectural patterns, see our guide on AI Integration for Veterinary EHR Systems.

The integration connects at ezyVet's API layer, specifically listening for new submissions to its Patient and Appointment objects, along with custom form data stored in Clinical Notes or Documents. When a new online intake form is submitted, a webhook triggers our orchestration layer. The AI pipeline then extracts and structures the free-text symptoms, client concerns, and pet history. Key data points like presenting complaint, duration, appetite changes, and medication history are normalized and scored against a clinical triage model to generate an urgency score and suggested appointment type (e.g., Wellness, Urgent, Emergency).

Structured outputs—including a draft SOAP Subjective note, the calculated triage score, and urgent case flags—are written back to ezyVet via API into a dedicated Custom Field group on the appointment record and as a draft Clinical Note linked to the patient. This creates a pre-consultation packet visible to the front desk and clinical team within their existing ezyVet workflow. For governance, all AI-generated content is tagged with a [AI-DRAFT] prefix and an audit trail logs the source data, model version, and scoring rationale to a separate system for review.

Rollout is phased, starting with a single location or service type. Initial guardrails include a human-in-the-loop review for all high-urgency flags before staff action and configurable thresholds for auto-flagging. The system is designed to fail gracefully: if the AI service is unavailable, intake forms proceed through ezyVet's standard workflow unchanged. This architecture ensures the integration augments—rather than disrupts—the practice's existing patient flow while providing clear, auditable value from day one.

Architecture for Data Integrity & Isolation: The integration connects to ezyVet via its secure REST API, typically using a dedicated service account with scoped permissions (e.g., Patient:Read/Write, Appointment:Read/Write, ClinicalNote:Read). Patient data for AI processing is never persisted in third-party AI models. We implement a zero-retention policy with providers like OpenAI, and all prompts are enriched with PHI via secure, ephemeral sessions. For practices requiring full data sovereignty, we can deploy private, fine-tuned models (e.g., Llama 3, Claude 3) within your own cloud environment, ensuring all data remains within your controlled infrastructure.

Phased Rollout with Human-in-the-Loop: We recommend a three-phase deployment to de-risk and demonstrate value:

1. Phase 1: Shadow Mode & Validation: The AI processes intake forms in parallel with staff, generating triage scores and pre-population suggestions that are logged but not written back to ezyVet. Clinical staff review outputs daily to calibrate accuracy and build trust.
2. Phase 2: Assisted Mode with Overrides: Approved AI suggestions (e.g., form pre-population, routine follow-up tasks) are written to ezyVet but flagged for staff review. A clear override and audit trail is maintained in ezyVet's notes or a custom object. Urgent case flags trigger an immediate, high-priority alert in the practice's existing communication channel (e.g., Slack, Teams).
3. Phase 3: Controlled Automation: After achieving >95% accuracy on key workflows, low-risk automations run autonomously (e.g., sending standard pre-appointment instructions). High-stakes workflows, like clinical triage scoring, remain in assisted mode, requiring a veterinarian's final sign-off in the ezyVet UI before affecting patient scheduling or priority.

Governance & Continuous Monitoring: Post-launch, we establish a governance dashboard separate from ezyVet that tracks key metrics: AI suggestion acceptance/rejection rates, time saved per intake, and urgent case detection accuracy. All AI interactions are logged with a unique correlation ID back to the ezyVet patient record, creating a full audit trail. Regular reviews with practice leadership ensure the system adapts to new protocols. This structured approach ensures the integration enhances—never disrupts—your clinical workflow and compliance posture.