# AI Integrations for Clinics

> Clinics face appointment overload, repetitive patient questions, and staff typing the same intake instructions, while medical data demands strict boundaries. We integrate AI for administrative triage and patient communication drafts, never autonomous diagnosis, with GDPR-first architecture and your practice software at the center.

## Administrative AI is not clinical AI

Patients ask about opening hours, preparation for blood tests, insurance paperwork, and rescheduling, not whether they should stop medication. The line must be enforced in product design: AI handles scheduling logistics and policy FAQs; clinical questions escalate to qualified staff with clear disclaimers.

Regulators and patients rightly distrust chatbots that imply medical judgment. Our integrations are built for clinic managers and reception, not replacement of clinicians.

## Workflows that reduce front-desk load

**Appointment triage and routing.** Symptom-free administrative requests classified and routed: new patient vs follow-up, insurance vs private, urgent callback flag based on rules you define, not ML diagnosis.

**Intake form pre-processing.** Patients submit forms online; AI summarizes missing fields and flags inconsistencies for admin review before the visit, saving check-in time without altering clinical records autonomously.

**Reminder and preparation messages.** Multilingual SMS or email drafts: fasting instructions, document checklist, parking, synced from appointment type in your scheduling system.

**Post-visit admin follow-up.** Survey requests, invoice questions, next appointment booking links, personalized drafts for staff approval.

**Internal ops summaries.** Daily schedule exceptions, no-shows, pending lab callbacks aggregated for the office manager, not patient-facing clinical summaries.

## Systems we connect

Clinic Cloud, Dentrix variants, custom scheduling tools, Google Calendar, HubSpot or lightweight CRM for cosmetic clinics, Twilio for SMS, and patient portals. HL7/FHIR where available; otherwise secure middleware with audit logs.

## GDPR and health data

Health data is special category under GDPR. We minimize data in LLM prompts, use EU processors with DPAs, support retention policies, and document lawful basis. No training on patient conversations. Clinical notes stay in your EHR boundary unless you explicitly scope a secure internal search pilot.

## What we will not deploy

Diagnostic chatbots. Medication advice. Triage that bypasses your clinical protocol. Any patient-facing flow without visible human escalation path and recorded consent where required.

## Delivery timeline

Discovery with practice manager and lead reception: 1–2 weeks. First vertical slice, often FAQ + appointment admin triage with human handoff, 5–8 weeks. InfoWebPlus, Manilva, Spain; remote across Europe.

This complements our broader [AI integrations](/services/ai-integrations) service, and pairs naturally with [CRM development for clinics](/topics/crm-development/clinics) when the same clinic relationships need a system beyond messaging.

## FAQ

### Can AI diagnose or triage medical symptoms?

We do not build symptom diagnosis or treatment recommendation flows. Administrative triage only, with immediate escalation paths to your clinical staff for health-related inquiries.

### Is patient data processed outside the EU?

We default to EU-hosted infrastructure and vendors with DPAs. Architecture is scoped during discovery based on your DPO requirements and existing clinic IT.

### What scheduling systems do you support?

Google Calendar, Clinic Cloud, and custom booking tools via API are most common. We avoid brittle integrations that break when a vendor updates their admin UI.

### How do patients know AI is involved?

We recommend clear disclosure on automated channels and always offer human contact. Draft-assist workflows mean staff still send or approve messages in early phases.

### What ROI should a clinic expect?

Measure reduction in phone time on repetitive FAQs, check-in duration, and no-show rates after reminder automation. Clinical outcomes are not our metric, we focus on operational hours saved.