FDA Audit Preparation with Intelligent IFU Search
For medical device manufacturers preparing for FDA inspections. Search across IFUs, MAUDE reports, and DHFs in seconds. 92% accuracy in regulatory document retrieval.
Medical device manufacturers, regulatory affairs teams, and quality assurance departments preparing for FDA audits or managing post-market surveillance
FDA auditors request specific documents within hours, but finding relevant IFUs, complaints, and design history files across disparate systems takes days of manual search
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Why Mixpeek
92% accuracy in regulatory document retrieval, instant response to auditor requests, and comprehensive coverage across all document types and product families
Overview
FDA auditors expect rapid response to documentation requests. This use case shows how Mixpeek enables medical device companies to instantly locate relevant regulatory documents, reducing audit preparation time and demonstrating robust quality systems.
Challenges This Solves
Scattered Documentation
IFUs, DHFs, CAPAs, and complaints live in different systems
Impact: Hours to locate requested documents during FDA audits
Version Control Complexity
Multiple IFU versions across product families and regions
Impact: Wrong version provided to auditors creates compliance findings
MAUDE Monitoring
Must track adverse events for similar devices across industry
Impact: Delayed detection of safety signals, post-market compliance gaps
Cross-Reference Requirements
Auditors ask for all documents related to specific issues
Impact: Incomplete responses lead to FDA Form 483 observations
Implementation Steps
Mixpeek indexes all regulatory documentation including IFUs, DHFs, complaint files, and MAUDE reports, enabling instant semantic search to find relevant documents during audit requests
Index Regulatory Documentation
Process all regulatory files into searchable corpus
import { Mixpeek } from 'mixpeek';const client = new Mixpeek({ apiKey: process.env.MIXPEEK_API_KEY });// Index regulatory document libraryawait client.buckets.connect({collection_id: 'regulatory-docs',bucket_uri: 's3://regulatory/docs/',extractors: ['document-parser', // PDFs, Word docs'table-extraction', // Specifications tables'image-analysis', // Device diagrams, labels'form-recognition' // FDA forms, templates],settings: {preserve_structure: true,extract_metadata: ['doc_type', 'product_family', 'version', 'effective_date'],languages: ['en', 'de', 'fr', 'es', 'ja'] // Multi-language IFUs}});
Ingest MAUDE Database
Import and index FDA adverse event reports
// Process MAUDE reports for post-market surveillanceawait client.buckets.connect({collection_id: 'maude-reports',bucket_uri: 's3://regulatory/maude/',extractors: ['document-parser','entity-extraction' // Extract device names, problem codes],settings: {update_frequency: 'daily', // Sync with FDA updatesfilters: {product_codes: ['DTM', 'DXN', 'LYZ'], // Your device codesdate_range: 'last_5_years'}}});// Monitor for new similar-device eventsawait client.webhooks.create({collection_id: 'maude-reports',event: 'new_document',url: 'https://your-app.com/api/maude-alert',filters: {severity: { $in: ['death', 'serious_injury'] }}});
Enable Audit-Ready Search
Create search interface for regulatory affairs team
// Respond to auditor requests instantlyasync function searchRegulatoryDocs(request: string) {const results = await client.retrieve({collection_id: 'regulatory-docs',query: {type: 'text',text: request // e.g., "all complaints related to battery overheating"},filters: {doc_type: { $in: ['complaint', 'capa', 'ncr', 'ifu'] }},return_fields: ['content', 'doc_type', 'product_family','version', 'effective_date', 'file_path'],limit: 100});// Group by document type for auditorreturn {complaints: results.filter(r => r.doc_type === 'complaint'),capas: results.filter(r => r.doc_type === 'capa'),ifus: results.filter(r => r.doc_type === 'ifu'),total_documents: results.length};}
Generate Audit Response Packages
Compile documentation packages for FDA requests
// Create audit response packageasync function prepareAuditPackage(auditRequest: {topic: string;products: string[];dateRange: { start: string; end: string };}) {const docs = await searchRegulatoryDocs(auditRequest.topic);// Filter by products and datesconst filtered = docs.filter(d =>auditRequest.products.includes(d.product_family) &&d.effective_date >= auditRequest.dateRange.start);// Generate package with cover sheetreturn {cover_sheet: {request_summary: auditRequest.topic,documents_included: filtered.length,date_prepared: new Date().toISOString(),prepared_by: 'Regulatory Affairs'},documents: filtered,index: generateDocumentIndex(filtered)};}
Feature Extractors Used
Retriever Stages Used
Expected Outcomes
92% relevant document retrieval on first search
Document Retrieval Accuracy
From days to minutes for document requests
Audit Response Time
60% reduction in documentation-related findings
FDA 483 Findings
75% reduction in pre-audit preparation effort
Audit Preparation Time
Real-time MAUDE alerts vs monthly manual review
Post-Market Monitoring
Frequently Asked Questions
Related Resources
Related Comparisons
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