clinical-domains

Model and transform SDTM Events and Interventions domains with CDISC-compliant rules.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/siddharthchauhan/ETL --skill clinical-domains
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: clinical-domains
Source: https://github.com/siddharthchauhan/ETL/tree/main/sdtm_pipeline/deepagents/skills/clinical-domains
Command: npx skills add https://github.com/siddharthchauhan/ETL --skill clinical-domains

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides domain-specific guidance for modeling and transforming SDTM Events and Interventions data to ensure consistent, CDISC-compliant datasets across studies.

Core Features & Use Cases

  • Domain-ready patterns for Events (AE, DS, MH, HO, CE) and Interventions (CM, EX, SU, PR, EC, AG, ML) to standardize terminology and structures.
  • Detailed transformation guidance, including variable mappings, timing logic, ISO 8601 date formatting, sequence generation, and controlled terminology enforcement.
  • Practical use cases: mapping raw clinical data to SDTM domains, validating dataset structures, and generating ready-to-submit SDTM datasets for regulatory submissions.

Quick Start

Provide a sample raw events/interventions dataset and request domain mapping guidance and transformation rules.

Frequently Asked Questions about clinical-domains

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I map raw clinical data to SDTM Events and Interventions domains?

To map raw clinical data to SDTM Events and Interventions domains, apply standard transformation patterns for variable schemas, sequence numbering, and timing logic. This enforces consistent CDISC-compliant dataset structures for regulatory submissions.

What is the difference between SDTM Events and Interventions domain modeling?

SDTM Events domains like AE, DS, and MH capture occurrences, while Interventions domains like CM, EX, and PR capture treatments. Modeling both requires enforcing controlled terminology, ISO 8601 date formatting, and specific validation checks for each domain type.

How do I enforce ISO 8601 date formatting and controlled terminology in SDTM datasets?

Enforce ISO 8601 date formatting and controlled terminology by applying standard SDTM transformation rules during domain mapping. This validates timing logic and sequence generation to meet CDISC compliance for events and interventions data.

Can I use this approach to validate dataset structures for clinical data submissions?

Yes, you can validate clinical dataset structures for regulatory submissions by applying SDTM domain-level mapping rules. This process checks variable schemas, sequence numbering, and controlled terminology across Events and Interventions domains.

What are the limitations of using standard patterns for SDTM domain mapping?

Standard SDTM domain mapping patterns are limited to specific Events like AE, MH, and CE, and Interventions like CM, EX, and SU. They do not cover other SDTM domain classes like Findings or Trial Design without additional specialized transformation rules.