Scar Tissue
The medical device industry doesn't want you to read this. Every adverse event, every recall, every late report — graded, graphed, and named.
Consumer-facing medical device adverse event and recall accountability intelligence — automated manufacturer report cards, per-device safety scorecards, late-reporting surveillance, 510(k)-vs-PMA approval pathway risk analysis, Class I recall alerts, and weekly "Incident Report" dispatches that translate raw FDA MAUDE data into gorgeous, opinionated, name-and-shame data journalism. Not scare content. Evidence content.
Niche Explored
Consumer-facing medical device adverse event & recall accountability intelligence — translating FDA MAUDE reports, device recalls, 510(k) clearance shortcuts, and manufacturer compliance timelines into beautiful, opinionated data journalism.
Why This Niche
- BMJ study (March 2025) found 1.2 million+ MAUDE adverse event reports were filed late by manufacturers — sometimes years after injuries/deaths occurred
- The medical device industry is a $600B+ global market with ~2 million+ adverse event reports in MAUDE
- Most devices reach market through the 510(k) “substantially equivalent” pathway — NOT rigorous clinical trials. This is the regulatory loophole ICIJ’s 2018 “Implant Files” exposed, but nobody maintains ongoing, automated accountability tracking
- EU’s EUDAMED database is going public incrementally (2025-2026), creating a cross-jurisdiction comparison opportunity
- Consumer interest is HIGH — r/dexcom, r/Type1Diabetes, implant support groups, class-action lawsuit communities all show people desperately wanting plain-English device safety information
Existing Competition
- FDA.report/MAUDE — raw database browser. No analysis, no narrative, no scorecards, no visualization. Just a table dump
- MedSafety Bulletin (medsafetybulletin.com) — generic multi-country safety updates. Not data-first, not device-specific deep dives
- RecallDetector.org — general recall search hub. Not focused on devices, no analysis
- SafeRecalls.com — search aggregator. No accountability journalism
- ICIJ Implant Files (2018) — landmark investigation but one-time project, not ongoing. No automation
- MedTechDive — industry-facing news, not consumer-oriented
- NOBODY is doing: automated manufacturer report cards, per-device-type safety scorecards, late-reporting accountability tracking, 510(k)-vs-PMA approval pathway risk analysis, or weekly data-journalism dispatches from MAUDE data
Gap: The data is entirely free and rich. The consumer need is massive. Nobody is running automated analysis on the ~500K+ adverse event reports filed per year and turning them into beautiful, actionable intelligence.
Data Sources Found
1. openFDA Device APIs (FREE, API key required, generous limits)
- Device Adverse Events (MAUDE):
https://api.fda.gov/device/event.json— millions of reports with device name, manufacturer, event type (death/injury/malfunction), event date, report date, narrative descriptions - Device Recalls:
https://api.fda.gov/device/recall.json— all FDA device recalls with classification (Class I = most serious), reason, distribution, quantity - Device 510(k) Clearances:
https://api.fda.gov/device/510k.json— every 510(k) clearance with predicate device chain, decision date, applicant - Device PMA:
https://api.fda.gov/device/pma.json— pre-market approvals (the “real” review pathway) - Device Classification:
https://api.fda.gov/device/classification.json— device types, risk classes, regulation numbers - Rate limits: Without key: 40 requests/minute, 1000/day. With free API key: 240 requests/minute, 120,000/day. More than enough for automated collection
2. FDA MDR Data Files (FREE bulk download)
- URL:
https://www.fda.gov/medical-devices/medical-device-reporting-mdr-how-report-medical-device-problems/mdr-data-files - Quarterly bulk CSV/ZIP files of all MAUDE reports
- Useful for historical analysis and building local databases
3. EU EUDAMED (partially public, expanding)
- URL:
https://webgate.ec.europa.eu/eudamed/landing-page - European medical device registration database
- Vigilance data becoming accessible — enables US-vs-EU regulatory comparison
- Actor registration and UDI databases already public
4. PubMed/OpenAlex (FREE)
- For linking adverse events to peer-reviewed studies on specific device failures
- PubMed API:
https://eutils.ncbi.nlm.nih.gov/entrez/eutils/ - OpenAlex API:
https://api.openalex.org/
5. ClinicalTrials.gov API (FREE)
- For tracking post-market studies FDA requires after device problems
https://clinicaltrials.gov/api/v2/
6. FDA Enforcement Reports API (FREE)
https://api.fda.gov/device/enforcement.json- Enforcement actions including injunctions, warning letters
SEO Analysis
- Keywords:
- “medical device recall” — high search volume, moderate competition
- “MAUDE database” — low competition, niche audience
- “medical device adverse events” — moderate volume, growing
- “[specific device] recall” (e.g., “Philips CPAP recall”, “Dexcom recall”) — massive long-tail opportunity. Thousands of product-specific searches
- “is my [device] safe” — enormous intent-driven search
- “hip implant recall list 2026” — example of product+year long-tail
- “510k vs PMA” — educational content SEO
- Long-tail goldmine: Every single recalled device or device with adverse events generates search queries. Thousands of pages, each targeting specific products → massive organic traffic potential
- Content freshness signal: FDA data updates continuously, so each week new content appears → Google loves this
Communities
- Reddit: r/medicaldevices, r/dexcom, r/diabetes, r/Type1Diabetes, r/CochlearImplants, r/HipReplacement, r/pacemaker, r/CPAP + dozens of condition-specific subreddits
- Facebook groups: Device-specific patient advocacy groups (mesh, implants, insulin pumps)
- Class-action communities: People researching lawsuits around specific device failures
- Healthcare professionals: Nurses, biomedical engineers who need device safety intelligence
- Lawyers: Medical device litigation — massive professional audience
Image/Graphic Feasibility
- Excellent for automation:
- Manufacturer report card “grades” — letter-grade cards (A-F) with stat breakdowns
- Adverse event trend line charts per device type over time
- Recall severity heatmaps (Class I/II/III by manufacturer, by year)
- Late-reporting timeline visualization (how late was the report vs. when the event happened)
- Body-part diagram showing which areas of the body are most affected
- “Device autopsy” infographics breaking down failure modes
- Choropleth maps of adverse event geographic distribution
- All achievable with D3.js/Chart.js/SVG generation in a build pipeline
Sources
- openFDA API docs: https://open.fda.gov/apis/device/
- MAUDE database: https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfMAUDE/results.cfm
- BMJ study on late reporting: https://www.bmj.com/content/388/bmj-2024-081518
- MedicalXpress coverage: https://medicalxpress.com/news/2025-03-million-medical-device-side-effect.html
- ICIJ Implant Files: https://implantfiles.org/
- EU EUDAMED: https://webgate.ec.europa.eu/eudamed/landing-page
- Genesys PGR API: https://api.genesys-pgr.org/
- FDA MDR Data Files: https://www.fda.gov/medical-devices/medical-device-reporting-mdr-how-report-medical-device-problems/mdr-data-files