OpenFDA Drug Intelligence - AI-Powered FDA Safety Data Extract drug adverse events, recalls, and safety data from the FDA with AI severity scoring. Perfect for pharmacovigilance, pharma research, and healthcare analytics. ## What can this actor extract? - Drug Adverse Events: Patient reactions, hospitalizations, deaths with AI severity scores (0-100) - Drug Recalls: Enforcement actions, contamination, mislabeling with risk classification - Drug Labels: Complete product information, warnings, dosage, ingredients - Device Adverse Events: Medical device problems and patient outcomes - Food Recalls: Food safety enforcement actions ## Why choose this actor? - AI Severity Scoring: Unique 0-100 severity score based on outcomes and reactions - Risk Factor Identification: Automatically identifies key risk factors - No API Keys: Uses free FDA public API - Complete Data: All FDA metadata included - Statistics: Summary statistics for analysis ## Quick Start ### Drug Adverse Events json { "mode": "drug_events", "searchQuery": "aspirin", "maxResults": 100, "seriousOnly": false } ### Drug Recalls json { "mode": "drug_recalls", "searchQuery": "contamination", "maxResults": 50 } ### Drug Labels json { "mode": "drug_labels", "searchQuery": "advil", "maxResults": 10 } ## Input Parameters | Parameter | Type | Description | |-----------|------|-------------| | mode | string | Search mode: drug_events, drug_recalls, drug_labels, device_events, food_recalls | | searchQuery | string | Search term (drug name, company, symptom) | | searchField | string | Specific field to search (optional) | | maxResults | integer | Max results (0 = all, max 25,000) | | dateFrom | string | Start date (YYYYMMDD) | | dateTo | string | End date (YYYYMMDD) | | seriousOnly | boolean | Only serious events (drug_events mode) | | includeStatistics | boolean | Include summary statistics | ## Output Example ### Adverse Event json { "report_id": "10012345", "receive_date": "20240115", "serious": true, "death": false, "hospitalization": true, "reactions": ["nausea", "vomiting", "dizziness"], "drugs": [ { "name": "ASPIRIN", "indication": "pain relief", "route": "oral" } ], "severity_score": 45, "severity_label": "moderate", "risk_factors": ["hospitalization", "multiple reactions"] } ### Drug Recall json { "recall_number": "D-123-2024", "status": "Ongoing", "classification": "Class II", "product_description": "Aspirin 325mg tablets", "reason_for_recall": "Contamination with foreign particles", "recalling_firm": "Example Pharma Inc", "distribution_pattern": "Nationwide", "severity_score": 65, "severity_label": "high" } ## Use Cases ### 1. Pharmacovigilance Monitor drug safety signals and adverse event trends for regulatory compliance. ### 2. Pharma Research Analyze competitor drug safety profiles and identify market opportunities. ### 3. Healthcare Analytics Build dashboards tracking drug recalls and safety issues. ### 4. Academic Research Study drug safety patterns, demographics, and outcomes. ### 5. Risk Assessment Evaluate drug safety for formulary decisions and patient safety programs. ## AI Severity Scoring The actor calculates a 0-100 severity score based on: Outcome Severity (60 points max) - Death: 60 points - Life-threatening: 50 points - Disability: 40 points - Hospitalization: 30 points - Other serious: 20 points Reaction Severity (40 points max) - Critical reactions (cardiac arrest, anaphylaxis): 40 points - Severe reactions (seizure, hemorrhage): 30 points - Moderate reactions (arrhythmia, syncope): 20 points Labels - 0-20: Low - 21-40: Moderate - 41-60: High - 61-80: Severe - 81-100: Critical ## Pricing $5 per 1,000 results | Results | Cost | Use Case | |---------|------|----------| | 100 | $0.50 | Quick analysis | | 1,000 | $5.00 | Research project | | 10,000 | $50.00 | Comprehensive study | | 25,000 | $125.00 | Enterprise analysis | ## Technical Details - Uses official FDA openFDA API - No authentication required - Rate limited to respect API guidelines - Pagination handled automatically - Max 25,000 results per query (FDA limit) ## Data Sources All data comes from official FDA databases: - FAERS (FDA Adverse Event Reporting System) - Drug recall enforcement reports - Structured Product Labeling (SPL) - MAUDE (device events) ## Support Questions or feature requests? Contact via Apify. --- Ready to analyze FDA drug data? Start now → Built with Apify SDK | Made by benthepythondev