Most dermatology diagnoses arrive as a word the patient already knows. Basal cell. Mole. Cyst. Then, occasionally, one arrives as a phrase nobody has ever said out loud to them: nevoid basal cell carcinoma syndrome. It shows up in an after-visit summary, or on a genetics referral, or in the sentence a dermatologist says while explaining why a third skin cancer before forty is worth looking into more carefully.
The visit ends. The office closes at five. And somewhere around nine, the patient types that phrase into a search bar for the first time.
What comes back is not reassuring, because a search engine does not know which part of that phrase applies to the person reading it. “Syndrome,” “inherited,” and “carcinoma” land all at once, alongside case reports and photographs of the most severe presentations that exist. The distance between what the dermatologist meant — a pattern worth investigating — and what the internet delivers at 9 p.m. is enormous, and no one is on the phone to close it.
That question sits in PrepQ’s dermatology answer library in exactly the form patients type it, which is not a clinical form at all: “What is Nevoid basal cell carcinoma syndrome?”
Here is the physician-written answer PrepQ delivers, by text or by voice, whenever it arrives: “Nevoid basal cell carcinoma syndrome, sometimes called Gorlin syndrome, is a rare inherited condition that can make a person more likely to develop basal cell skin cancers and other changes. It is usually present from birth and runs in families. If you would like to understand it better, your care team can share information suited to your situation.”
Notice how much work the first clause does. It gives the patient the second name — Gorlin syndrome — which is the name their family will actually use, and often the only search term that returns something readable. It says rare, inherited, and present from birth, which quietly answers the question underneath the question: this is not something they did, and it did not start last month. And by saying it runs in families, it plants the idea that a sibling or a child may need a conversation too — without turning that into an alarm.
Then it stops. It does not tell the patient whether they have it, quantify their risk, or predict how many skin cancers are coming. It cannot: whether that phrase belongs in someone’s chart at all depends on findings, family history, and often genetic testing that has not come back yet. What the patient gets instead is accurate footing at 9 p.m. and a clear reason the follow-up conversation matters — the difference between someone who keeps that appointment and someone who quietly avoids it.
How the answers get written, and what never gets answered
Every answer in the library is written by physicians before it enters the system. When a practice subscribes, its own dermatologists review and approve the answer set for their procedures — and can edit any answer to match their protocols — before a single patient receives one. A group that refers suspected Gorlin syndrome to a specific genetics service writes that pathway in. What lands on the patient’s phone is the practice’s own guidance, in its own voice.
Some messages are never answered by the AI at all. Spreading redness around a surgical site, fever, pus or foul drainage from a wound, bleeding that will not stop with pressure, or anything with the shape of an emergency escalates to the practice or to 911 rather than being handled by software. Questions with no physician-approved answer route the patient to the office instead of being improvised. The platform is HIPAA-eligible, and a Business Associate Agreement is available to subscribing practices.
Why dermatology absorbs so much of this after hours
Dermatology performs more procedures per clinic day than almost any other outpatient specialty, and nearly every one sends a patient home with two things: a wound and a wait. Shave, punch, and excisional biopsies. Mohs surgery. Surgical excision of skin cancers and moles. Cryotherapy for actinic keratoses. Patch testing. Each has its own aftercare script, and the front desk cannot hold all of them in its head.
The pathology wait is the part unique to this specialty. For several days the patient has a healing site, a word they half-remember from the visit, and no scheduled contact with anyone. Questions accumulate in exactly that gap. PrepQ’s dermatology library covers more than 32 procedures behind more than 361 physician-written answers, in English and Spanish, delivered by text and by voice, 24 hours a day, 365 days a year.
The cost of leaving that gap open shows up in three places: a morning voicemail queue the staff works through instead of working with the patients in front of them, follow-up visits that no-show, and day-of cancellations from patients who arrived unprepared. Any dollar figure attached to closing that gap is a modeled estimate, not a measured customer result.
The point was never that software can produce a paragraph about Gorlin syndrome. It is that a practice needs its own answer — the one its own dermatologists stand behind — reaching the patient at the hour they type the unfamiliar phrase into a search bar, with the urgent messages pulled out and handed to a human being. PrepQ was built by practicing physicians, Keith Schmidt MD and Ryan Kuta DO, around that standard. Everything here is educational information, not medical advice — patients should always follow their own physician’s instructions.