Nothing forgotten in the room
A father's two half-remembered questions become a written list he can read straight off his phone, so a fifteen-minute appointment doesn't end with either one left unasked.
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The whole team
Nineteen specialists, each with a defined job and an honest status label.
See all nineteenThe person walks into an appointment with a clear, written list of questions instead of forgetting half of them once they're in the room.
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What it does
The user describes, in their own words, what they want to discuss (a new symptom, a report they don't understand, a medication they're unsure about), and Doctor turns that into a structured list of neutral, open-ended questions to ask the clinician. Every generated question asks the clinician to explain or decide something — it never states or implies an answer itself.
A father sitting across from his diabetologist for a fifteen-minute appointment forgets, almost every time, the two things he actually wanted to ask — something about a symptom he noticed last week, something about a dosage that felt off to him. By the time he's back in the car, both questions surface again, too late to matter for that particular visit.
The visit prep question builder takes what a person describes in their own words — a symptom, a report they don't understand, a medication they're unsure about — and turns it into a short list of clear, neutral questions to bring to the clinician. Every question is phrased so the doctor answers it; none of them is ever phrased as though Doctor already knows the answer, because it genuinely never does.
Doctor runs this directly on the platforms your customers already use — no separate app for them to install.
How it works
Write, in your own words, what you want to raise — a new symptom, a report you didn't fully follow, a medication you're unsure about — exactly as freely as you'd describe it to a friend over the phone.
Your notes are turned into a short list of open-ended questions phrased for the clinician to answer, such as 'what does this result mean for me' rather than any statement about what it might mean for your health.
Every generated question passes through a second check that rejects any line reading as a statement of fact about a cause, a condition, or a next step, keeping the whole list strictly and consistently in question form.
Remove a question that doesn't quite fit, reword one in your own language, or add one more you thought of later, so the final list is exactly what you want to raise, not a fixed script you're stuck with.
Why it matters
A father's two half-remembered questions become a written list he can read straight off his phone, so a fifteen-minute appointment doesn't end with either one left unasked.
The list only ever asks the doctor something — it never states what a result might mean or what should be done, so nothing pre-empts the actual clinical conversation.
A vague, anxious feeling about a report or a symptom becomes a specific, answerable question, which is often the more useful shape for that worry to take into an appointment.
The detail
This capability exists because the moment someone describes a symptom or a confusing report, the natural instinct — for a person and for a general-purpose AI model alike — is to start guessing at causes right away. Doctor is built specifically against that instinct. The output is constrained to questions only, generated by a prompt scoped to producing clinician-facing questions, and checked a second time by an independent filter that rejects any line reading as a statement before it ever reaches the user's screen.
That second check is not a minor safeguard bolted onto a feature that otherwise works fine without it — it is the core control that makes this capability safe to offer at all. If someone types 'what's wrong with me,' the correct response is never an attempt at an answer; it's a reframed question the person can bring to their own doctor, such as 'what could explain this symptom, and what would you recommend I do next.' The distinction between answering and reframing is enforced at the system level, not left to a single instruction.
For a family bringing a father to a diabetologist, this often turns a vague unease — 'something about that last report bothered him' — into two or three specific questions he can read straight off his phone in the room: what does this value mean for his current treatment, and is there anything about his diet he should ask about given it. Doctor supplies the clear question. The diabetologist, and only the diabetologist, supplies the actual answer he needs.
Industry use cases
2 industries where Doctor applies this directly.
A freelance graphic designer uploads a lab report after a routine checkup, and Doctor files it under their profile and lets them draft three questions to ask at the follow-up appointment about a result they didn't understand, without the designer needing to interpret the report themselves or rely on Doctor to explain it.
See the freelancers and consultants playbookA person managing a parent's post-hospitalization care uploads the discharge summary, several follow-up lab reports, and the current medication list into one family profile, sets reminders for each medication's timing, and generates a visit brief ahead of the follow-up appointment so the family doesn't have to recall everything from memory in the waiting room.
See the health and wellness playbookMore from Doctor
The person sees every report, prescription, and visit they've uploaded laid out in date order instead of as a loose pile of files.
Learn moreThe person adds a paper prescription or report to their record in seconds by taking a photo, instead of typing it in by hand.
Learn moreOne person — often a caregiver — can organize records for their parents, children, or in-laws separately, without mixing up whose test is whose.
Learn moreA person managing an elderly parent's records can invite a sibling to view or help, and can cut off that access instantly if circumstances change.
Learn moreThe person can see a lab report's parameter names, values, units, and reference ranges as clean text instead of squinting at a scanned PDF.
Learn moreThe person can see how one specific lab value has moved across multiple visits without manually flipping between old reports.
Learn moreQuestions
No — however you phrase the question, the output only ever comes back as a neutral question for your own doctor to answer, never as an explanation, a guess at a cause, or an answer of any kind whatsoever. A request like 'what's wrong with me' gets reframed into something like 'what could explain this symptom,' which you then take to your clinician rather than to this app for a proper answer.
Every generated question passes through a second, independent check specifically built to catch and reject any line that reads as a statement rather than a genuine question, before you ever see it appear. This filter is treated as a core safety control for this feature, not an optional extra, precisely because a general-purpose AI model's natural instinct is to speculate, and this check exists to override that instinct consistently, every single time.
Yes — the generated list is a starting point you can edit freely, removing anything that doesn't feel right, rewording a question in your own language, or adding one more you thought of yourself afterwards. It's meant to save you the effort of drafting from a blank page, not to hand you a fixed script you have to use exactly as it was first generated for you.
No — this feature only ever generates questions to ask a clinician; it doesn't answer them, now or afterwards, however the question is phrased or how many separate times it's asked of it. Getting an answer to any of these questions means bringing them to your father's own doctor, which is exactly what the list is designed to help you do more clearly and completely at the visit.
The rest of your stack
No rip-and-replace — prepare questions to ask your doctor works alongside the systems already running your business.
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