input-normalizer
CommunityUnify diverse inputs into a single structured format.
Authortito-gh
Version1.0.0
Installs0
System Documentation
What problem does it solve?
The Input Normalizer unifies three distinct clinical input modes—drug-origin, PICO-origin, and clinical-question origin—into a consistent, structured data model to streamline downstream RWD study planning.
Core Features & Use Cases
- Normalize heterogeneous input formats into a unified schema suitable for RWD research planning.
- Infer and map indications, populations, interventions, comparators, and outcomes to a deterministic structure.
- Generate standardized research questions and study design elements (RQ, population, intervention, comparator, outcome) to drive planning and documentation.
Quick Start
Provide a sample normalization for a given input set to demonstrate the end-to-end flow.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: input-normalizer Download link: https://github.com/tito-gh/healthcare/archive/main.zip#input-normalizer Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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