Does this skill require a ClinicalTrials.gov API key?

No, the ClinicalTrials.gov API v2 is public and does not require authentication, though it has rate limits of approximately 50 requests per minute.

Can I export data to Excel or CSV using this skill?

Yes, the skill supports retrieving data in CSV format, which can be saved to a file for use in spreadsheet applications or data analysis tools.

How does this skill help with patient matching?

It allows you to search specifically for 'RECRUITING' trials and extract detailed eligibility criteria (age, sex, condition) to determine if a patient qualifies for a study.

Is it possible to find trials in specific cities or states?

Absolutely. You can use the geographic search feature to filter trials by city, state, or country to find local recruitment opportunities.

ClinicalTrials.gov Search & Analytics

Name: ClinicalTrials.gov Search & Analytics
Author: Microck

byMicrock

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Data Science & ML

Queries the ClinicalTrials.gov API v2 to search, filter, and export global clinical study data for medical research and patient matching.

About

This skill provides a comprehensive interface for Claude to interact with the ClinicalTrials.gov API v2, enabling deep exploration of the world's largest registry of clinical studies. Users can search for trials by medical conditions, interventions, geographic locations, and recruitment status without requiring API authentication. It excels at complex tasks like matching patients to recruiting trials, analyzing drug development trends, and extracting detailed eligibility criteria or contact information for clinical research and reporting.

Key Features

Detailed study retrieval via NCT ID including eligibility and contacts
Data export capabilities to JSON and CSV formats for external analysis
Automated pagination and bulk data retrieval for large datasets
Advanced search by condition, intervention, sponsor, and location
Real-time recruitment status filtering (Recruiting, Completed, etc.)
89 GitHub stars

Use Cases

Extracting and summarizing inclusion/exclusion criteria for systematic reviews or meta-analyses
Identifying recruiting clinical trials for specific patient populations and geographic regions
Conducting competitive intelligence and drug development research for pharmaceutical companies

About

Key Features

Detailed study retrieval via NCT ID including eligibility and contacts
Data export capabilities to JSON and CSV formats for external analysis
Automated pagination and bulk data retrieval for large datasets
Advanced search by condition, intervention, sponsor, and location
Real-time recruitment status filtering (Recruiting, Completed, etc.)
89 GitHub stars

Use Cases

Extracting and summarizing inclusion/exclusion criteria for systematic reviews or meta-analyses
Identifying recruiting clinical trials for specific patient populations and geographic regions
Conducting competitive intelligence and drug development research for pharmaceutical companies