HealthcareIndustries and use cases
AI Chatbot for Dermatologists: What It Answers and What It Must Refuse
A dermatology chatbot earns its place by answering the boring questions and booking consultations. It earns your trust by refusing, clearly and every time, to look at a photo or say what a spot is.
The 30-second answer
Dermatology clinics get two very different kinds of enquiry: medical skin problems and cosmetic treatments. Both generate the same after-hours questions about price, insurance, waiting times and what to expect. A chatbot trained on your website handles those and takes booking requests. It must never diagnose, never interpret a symptom, never read a skin photo, and never discuss a named patient's records. Anything involving patient health information goes to your team, not the chat.
Two clinics living in one building
Most dermatology practices run two businesses side by side. One is medical: rashes, acne, skin checks, chronic conditions, usually billed through insurance. The other is cosmetic: self-pay, price-sensitive, shopped around like anything else. Enquiries come from both, and they need different answers.
A medical enquirer wants to know if you take their plan, whether they need a referral, and how long the wait is. A cosmetic enquirer wants a price range, a sense of downtime, and whether the consultation costs anything. Neither is a clinical question, and both are already on your website.
The bot's job is to sort the two, answer the fixed parts, and pass the rest on with context attached. The general shape is covered in our guide to chatbots for clinics and medical practices.
What people ask at 10pm
Here is the realistic mix, and the correct behaviour for each.
The practical questions matter more than they look. Parking, what to bring, whether to arrive early, whether to come without makeup. Those are the ones that stop someone booking, and they cost nothing to answer well.
The hard rules: what the bot must never do
Dermatology is the specialty where patients most want to show the bot something. That makes the refusal rules the most important part of the setup:
- No diagnosis. The bot never names a condition, never rules one out, and never reassures.
- No treatment advice. It does not recommend creams, doses, products or home remedies.
- No reading images. Photos of skin, moles, rashes or post-procedure sites are never interpreted, not even loosely.
- No interpreting symptoms. Descriptions of bleeding, spreading, changing or painful lesions route to a human, fast.
- No named-patient records. No results, no biopsy status, no appointment or balance lookups for a specific person.
Aftercare confuses people. Repeating your published aftercare page, word for word and clearly labelled as yours, is customer service. Writing new instructions is not, and the bot must be told the difference in plain language.
Escalation should be generous rather than clever. If a message reads as worried, urgent or clinical, hand it to a person. An over-eager handover costs a minute. A missed one costs far more. Our HIPAA and GDPR guide covers the data side.
PHI belongs behind a BAA
Say this out loud before you deploy. A free chat widget is fine for public information, general pricing and new enquiries. It is not a place for patient health information. Results, charts, biopsy status, refill decisions and anything tied to a named patient's care belong with your team. Keep collection minimal: a name, a contact detail, what they want to book.
Realistic volume for one location
A single-site clinic usually sees single-digit chats a day, spiking after a promotion or a seasonal skin check campaign. The free plan covers 500 messages a month, roughly three a day, for 2 people. Paid plans are Starter at $25 a month and Professional at $95 a month, with 20% off on annual billing. Run free for a month, then choose from the pricing page.
A four-week rollout
Week 1: fix the pages the bot will quote
Better source materialEzyConn trains by crawling your website, so the bot is only as clear as your fees, insurance and aftercare pages. Read them as a patient would at 10pm.
Week 2: write the refusal list
Safety configured firstNo diagnosis, no treatment advice, no interpreting symptoms, no reading images, no named-patient records. Type the scariest message you can imagine into your own widget before a patient does.
Week 3: switch on consultation capture
Requests, not phone tagName, contact, medical or cosmetic, and two or three times that work. Enough for your front desk to confirm in one call instead of four.
Week 4: put escalations where staff are
Nothing sits unreadRoute escalations into Slack or Microsoft Teams, and connect WhatsApp and SMS if patients message there. The mobile app puts them on a phone too.
Monthly: read what it got wrong
Compounding accuracyExport the unanswered questions and add the top ten to your site. The bot improves because your website improved, which helps your search results too.
Frequently asked questions
Someone sends a photo of a mole. What should the bot do?
Refuse to read it, say why, and move the person towards a person. The reply should be plain: I cannot look at skin images, and nobody should judge a mole from a photo in a chat window. Then it offers the soonest skin check. If the visitor says the spot is changing, bleeding or growing, it hands the conversation to staff rather than leaving them with a booking form. A bot that guesses at an image is the worst failure mode in dermatology.
Can the chatbot explain whether a visit is covered by insurance?
It can explain the split and take the details. It cannot promise coverage. The useful thing to teach is the difference between medical visits, which usually go through insurance, and cosmetic services, which are usually self-pay. The bot lists the plans you accept, takes the plan name and the reason for the visit, and marks it for your billing team to verify. No copay figures, no approvals, no benefit quotes.
Can it handle prescription refill requests?
It can pass the request on. It must not decide anything. A refill is a clinical decision that belongs with the prescriber, and the request itself is patient health information, so it belongs with your team rather than in the chat. The safe pattern is a short note saying the team will handle it, with no clinical detail typed into the chat.
How many conversations should a single-site clinic plan for?
A modest number that spikes with campaigns. One clinic with normal traffic tends to see single-digit chats a day, more after a cosmetic promotion or a seasonal skin check push. The free plan gives 500 messages a month, about three a day. Paid plans are Starter at $25 a month and Professional at $95 a month, with 20% off on annual billing. Measure a real month before you upgrade.
Will the bot answer in a patient’s own language?
Yes. The AI runs GPT-4o and Claude on every plan and replies in many languages, detecting the visitor’s language from what they type. For a clinic in a mixed-language area that removes a real barrier to booking.
Answer the easy questions, escalate the rest
EzyConn trains on your clinic website and hands anything clinical to a person. Free forever: 2 people, 500 messages a month, no card.
Start freeLast updated . Nothing here is clinical, legal or compliance advice. Follow your own clinic policy and your regulator's guidance, and put a signed BAA in place before any patient health information touches a chat widget. View more guides.