findings-domains

What problem does it solve?

This Skill provides detailed guidance for implementing SDTM Findings domains (LB, VS, EG, PE, QS, SC, FA, PC, PP, MB, MS, MI, RP, DD, FT, GF, IS, CP) using a vertical data structure, standardized variable naming patterns, result handling (original vs standardized), reference ranges, and baseline/derived flag logic to ensure SDTMIG conformance.

Core Features & Use Cases

• Vertical data modeling guidance for Findings domains, including test code naming patterns (--TESTCD/--TEST/--ORRES/--STRESC) and domain-specific variable requirements.
• Transformation and validation patterns to convert horizontal source data into SDTM LB, VS, EG and specimen-based domains, with baseline flags and derived values clearly defined.
• Practical use cases: standardizing laboratory, vital signs, ECG, and other observational data into consistent SDTM findings datasets for regulatory submission and analysis.

Quick Start

Load a sample horizontal dataset and run the skill to generate SDTM LB, VS, and EG findings datasets with properly mapped tests, results, baseline flags, and reference ranges.