Patient Experience

Capture med spa client treatment preferences, skin history, and goals during the first call

First-call conversions depend on capturing what clients want and what they've tried. An AI receptionist asks about treatment interest, skin concerns, and prior experience during the call, then returns that data as a structured summary for your team to review and file.

How it pays back

Your consultant walks in with full context

Staff see a summary of what the client called about, their skin goals, any prior treatments they've tried, and whether they are new to your med spa. No time is wasted on discovery — the consultation focuses on recommendations and pricing.

Treatment packages are matched to client needs from the start

The AI captures whether a client is interested in preventative care, correction, or maintenance. Your team uses that context to recommend the right package or membership, improving close rates.

Allergy and sensitivity flags are captured on the call

If a client mentions a product allergy, prior reaction, or skin concern, the AI logs it. Your staff see that flag in the client profile before applying any products or recommending treatments.

No-show rates drop because expectations are set early

When clients know exactly what they're coming in for and what to expect, they show up. The AI confirms the appointment, reiterates the treatment, and sends a reminder before the appointment.

Treatment preferences captured on call

Consultants see client goals before the appointment

Allergy and sensitivity flags visible

Structured intake for staff safety and compliance

Client name, phone, email, and appointment details written to EMR

Demographics and booking synced; treatment interest and skin history returned as structured summary for staff review

Structured intake summary for review

Staff receive a pasteable summary for the client chart

Frequently asked questions

Does the AI ask screening questions like 'Are you on Accutane?' or 'Any skin conditions?'

Yes. The AI asks screening questions for common contraindications and sensitivities. For complex medical histories, the AI flags the call for staff to review before the appointment or routes the caller to a phone consultation with your provider.

What if a client has a skin concern that needs a provider consultation before booking?

The AI captures the concern and routes the call to your clinical staff. They can do a brief phone assessment and either book the appointment, recommend a different service, or schedule a consultation first.

How is the intake summary delivered to my team?

The AI returns a structured, EMR-pasteable summary that includes the client name, contact info, treatment interest, skin concerns, prior experience, and any flags. Your staff review it in your practice management system or EMR before the client's appointment.

Can the AI determine if a client is a good fit for a specific treatment?

The AI can ask qualifying questions and flag calls for staff review if a client's goals or history don't match a standard offering. Final suitability determinations are made by your clinical team.

What if a client asks a detailed clinical question the AI can't answer?

The AI can answer common questions (e.g., 'How long does Botox last?'). For detailed clinical questions, the AI offers a callback from your provider or books a paid consultation.

Related reading

Bring this to your practice

See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.

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