Can I filter trials by their current recruitment status?

Absolutely. You can filter results by various statuses including RECRUITING, ACTIVE_NOT_RECRUITING, COMPLETED, and more.

Is it possible to search for trials within a specific city or state?

Yes, the geographic search capability allows you to find trials based on specific locations to assist with regional research or patient referrals.

How does the skill handle large datasets with thousands of trials?

The skill includes automated pagination logic to iterate through large result sets, ensuring you can retrieve all matching trials without hitting single-request limits.

Can I export trial data for use in Excel or Python?

Yes, the skill supports data export in both JSON and CSV formats, making it easy to move data into spreadsheets or data science environments.

Does this skill require an API key for ClinicalTrials.gov?

No, the skill utilizes the ClinicalTrials.gov API v2, which is a public resource and does not require an API key or authentication.

ClinicalTrials.gov Search & Analytics

Name: ClinicalTrials.gov Search & Analytics
Author: K-Dense-AI

byK-Dense-AI

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3,719

데이터 과학 및 ML

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

소개

This skill empowers Claude to interact directly with the world's largest registry of clinical studies maintained by the U.S. National Library of Medicine. It provides specialized functions for querying trials based on medical conditions, specific drug interventions, geographic locations, and recruitment status. Ideal for researchers, medical professionals, and data analysts, the skill handles complex API interactions, pagination, and data formatting, enabling users to perform deep competitive intelligence, patient recruitment screening, and longitudinal analysis of clinical trends without manual web searching.

주요 기능

Multi-parameter searching by condition, drug, phase, and location
CSV and JSON export capabilities for external data analysis
Advanced status filtering for recruiting, completed, or terminated trials
Automated pagination for bulk data extraction and large result sets
Detailed study retrieval using NCT IDs including eligibility and contacts
3,719 GitHub stars

사용 사례

Conducting competitive landscape analysis for pharmaceutical research and drug development
Automating patient matching by screening eligibility criteria for specific conditions
Extracting geographic trial distribution data for site selection and feasibility studies

소개

주요 기능

Multi-parameter searching by condition, drug, phase, and location
CSV and JSON export capabilities for external data analysis
Advanced status filtering for recruiting, completed, or terminated trials
Automated pagination for bulk data extraction and large result sets
Detailed study retrieval using NCT IDs including eligibility and contacts
3,719 GitHub stars

사용 사례

Conducting competitive landscape analysis for pharmaceutical research and drug development
Automating patient matching by screening eligibility criteria for specific conditions
Extracting geographic trial distribution data for site selection and feasibility studies