Patients switching doctors or seeking second opinions struggle to verify a physician's complaint and disciplinary history across state medical boards — data that's technically public but scattered across 50+ separate state portals. MalpracticeMap aggregates, normalizes, and surfaces this data in a single searchable interface so patients can make informed decisions before booking. Users can search by name, NPI, or specialty and receive a plain-English risk summary with links to primary sources.
Patients researching new physicians, caregivers selecting providers for elderly relatives, and HR benefits managers vetting in-network referrals
Freemium — 3 free lookups/month; $7/mo or $49/yr for unlimited searches and email alerts on provider status changes
Reddit: Post-pandemic patient distrust of healthcare institutions is at record highs, and 'doctor shopping' searches have doubled since 2021 as telehealth normalized switching providers.
Post-pandemic patient distrust of healthcare institutions is at record highs, and 'doctor shopping' searches have doubled since 2021 as telehealth normalized switching providers.
Scrape and normalize 5-10 high-population state medical board disciplinary databases into a searchable index with a basic name-lookup UI.
AI converts dense regulatory legalese from disciplinary orders into plain-English summaries that a layperson can actually understand.
State medical boards may block scraping or change HTML structures frequently, requiring ongoing maintenance; legal risk around presenting disciplinary data inaccurately.
Likely buyers are people already trying to solve this problem with manual workarounds. Start with Patients researching new physicians, caregivers selecting providers for elderly relatives, and HR benefits managers vetting in-network referrals and validate urgency before adding secondary features.
Find the first 10 users by searching for recent complaints around "healthcare transparency patient advocacy" in Reddit, developer communities, GitHub issues, and niche Slack or Discord groups. Offer a concierge version first: manually solve the workflow for a few users, then automate only the repeated steps.
Get a complete blueprint for building this app — tech stack, database schema, API endpoints, go-to-market plan, and more. Generated by AI in seconds. Download as Markdown.
To build a MalpracticeMap app, start by validating the problem. Generate a full project spec above for a complete tech stack and build plan.
A medium difficulty app like this typically costs $0-$5,000 for an MVP. Monetization: Freemium — 3 free lookups/month; $7/mo or $49/yr for unlimited searches and email alerts on provider status changes.
Patients researching new physicians, caregivers selecting providers for elderly relatives, and HR benefits managers vetting in-network referrals