staff-training-health
Design healthcare staff training programs. TRIGGERS - Use when user needs help with staff-training-health related tasks.
5,441,345 AI resources indexedWorking toward the world’s largest AI resource index.
ClinicalTrials.gov API client and analysis toolkit. Search, filter, and download trial records. Analyze trial designs, endpoints, enrollment, sponsors, and results. Automate systematic trial discovery.
---
name: clinical-trials-9ea1997bc23b
description: "ClinicalTrials.gov API client and analysis toolkit. Search, filter, and download trial records. Analyze trial designs, endpoints, enrollment, sponsors, and results. Automate systematic trial discovery."
tags: [clinical-trials, research, api, systematic-review, healthcare, zorai]
---
## Overview
Search, filter, and download clinical trial records from ClinicalTrials.gov. Analyze trial designs, endpoints, enrollment, sponsors, and results. Automate systematic trial discovery.
## Installation
```bash
uv pip install requests
```
## Search Trials
```python
import requests
params = {
"query.term": "diabetes AND metformin AND phase 3",
"pageSize": 25,
"format": "json",
"sort": "LastUpdateDate",
}
resp = requests.get("https://clinicaltrials.gov/api/v2/studies", params=params)
data = resp.json()
for study in data.get("studies", []):
p = study["protocolSection"]
nct = p["identificationModule"]["nctId"]
title = p["identificationModule"]["briefTitle"]
status = p["statusModule"].get("overallStatus", "Unknown")
print(f"{nct}: {title[:60]} [{status}]")
```
## Study Details
```python
resp = requests.get("https://clinicaltrials.gov/api/v2/studies/NCT04251195")
study = resp.json()
design = study["protocolSection"]["designModule"]
print(f"Purpose: {design.get('primaryPurpose')}")
```
## Workflow
1. Search trials via ClinicalTrials.gov API v2
2. Filter by condition, intervention, phase, status
3. Download structured trial data (JSON)
4. Extract PICO: Population, Intervention, Comparison, Outcome
5. Analyze trial designs, enrollment, and results
---
name: clinical-trials-9ea1997bc23b
description: "ClinicalTrials.gov API client and analysis toolkit. Search, filter, and download trial records. Analyze trial designs, endpoints, enrollment, sponsors, and results. Automate systematic trial discovery."
tags: [clinical-trials, research, api, systematic-review, healthcare, zorai]
---
## Overview
Search, filter, and download clinical trial records from ClinicalTrials.gov. Analyze trial designs, endpoints, enrollment, sponsors, and results. Automate systematic trial discovery.
## Installation
```bash
uv pip install requests
```
## Search Trials
```python
import requests
params = {
"query.term": "diabetes AND metformin AND phase 3",
"pageSize": 25,
"format": "json",
"sort": "LastUpdateDate",
}
resp = requests.get("https://clinicaltrials.gov/api/v2/studies", params=params)
data = resp.json()
for study in data.get("studies", []):
p = study["protocolSection"]
nct = p["identificationModule"]["nctId"]
title = p["identificationModule"]["briefTitle"]
status = p["statusModule"].get("overallStatus", "Unknown")
print(f"{nct}: {title[:60]} [{status}]")
```
## Study Details
```python
resp = requests.get("https://clinicaltrials.gov/api/v2/studies/NCT04251195")
study = resp.json()
design = study["protocolSection"]["designModule"]
print(f"Purpose: {design.get('primaryPurpose')}")
```
## Workflow
1. Search trials via ClinicalTrials.gov API v2
2. Filter by condition, intervention, phase, status
3. Download structured trial data (JSON)
4. Extract PICO: Population, Intervention, Comparison, Outcome
5. Analyze trial designs, enrollment, and results
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.