ArztFrage Vorbereiter
An AI prep tool that turns a patient's symptoms, family history, and screening concerns into a structured question list for the next Arztbesuch, plus a one-page summary the patient can hand to the doctor.
patients in Germany who walk out of appointments wishing they had asked the right questions
- Guided intake in plain German covering Beschwerden, Vorerkrankungen, Familienanamnese
- Auto-generated Fragenliste ranked by what the Arzt most likely needs to know
- One-page Handout exportable as PDF or shareable via Doctolib/TK app
- Post-visit recap that turns the Arztbrief into plain language plus next-step actions
High-trust German health content (often celebrity-driven, like Hold's Krebs-OP update) primes patients to engage with their own screening; this app is the missing 'now what?' step.
Real pain point ('forgetting questions') cited by NIH research and addressed by multiple free official checklists (gesund.bund.de, Gesundheitsinformation.de, Patientenuniversität MHH), but no evidence of paid demand — free alternatives dominate.Checklisten für Ihren Arztbesuch - Patientenuniversität der MHH ↗Frageliste für den Arztbesuch - Gesundheitsinformation.de ↗
Narrow gap: free official checklists and yu-ki.de (free ChatGPT-prompt approach for symptom preparation) already cover most of this, though yu-ki targets migrants rather than native German patients and no AI-native German prep tool surfaced.Bereite Arztgespräche vor: Symptome korrekt mit KI beschreiben - yu-ki.org ↗Gut vorbereitet für den Arztbesuch | gesund.bund.de ↗
DiGA 'App auf Rezept' path via BfArM exists for prescribed/insured reimbursement, but approval is slow and costly; B2C subscription uncertain as German patients expect free health info and official sources (gesund.bund.de) are gratis — freemium is realistic but not exceptional.DiGA-Verzeichnis - BfArM ↗Must have German health apps - germanyso.com ↗
Doctor-visit preparation is a durable healthcare behavior need; AI patient tools category is expanding (Hedy lists 15+ tools in 2026), and structured prep aligns with growing shared-decision-making trends in DE healthcare — not hype-dependent.Die beste KI für medizinische Fragen: 15 Tools für Patienten (2026) - Hedy.ai ↗
MVP is straightforward — German LLM + structured prompt + one-page PDF export; no medical-device classification needed for pure patient-side prep (not diagnosis), making this a weekend-scale build; DiGA path would add regulatory burden.Digital Health In Germany 2026: An Expat's Guide To DiGA Apps ↗