input-normalizer

Normalize drug, PICO, and clinical-question inputs into a structured data model.

Updated Jan 18, 2026

Search Tags:#data-modeling #healthcare #input #normalize #rwd #pico #clinical-question

Ready to run

npx skills add https://github.com/tito-gh/healthcare --skill input-normalizer

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: input-normalizer
Source: https://github.com/tito-gh/healthcare/tree/main/.claude/skills/input-normalizer
Command: npx skills add https://github.com/tito-gh/healthcare --skill input-normalizer

SYSTEM DOCUMENTATION & REQUIREMENTS

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.

Frequently Asked Questions about input-normalizer

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

FAQPage Schema

How do I normalize heterogeneous clinical inputs into a structured data model for RWD study planning?▼

You can normalize heterogeneous clinical inputs by mapping drug, PICO, and clinical question origins into a single deterministic data model. This structured format ensures explicit validation steps and compatibility with downstream RWD study planning workflows.

What is clinical input normalization and when do I need it for oncology research?▼

Clinical input normalization unifies diverse formats like drug-origin and PICO data into a consistent schema. You need it for oncology and pharmacology workflows to generate standardized research questions and ensure deterministic study design elements.

Can I use this input normalizer to map clinical questions into PICO format for research?▼

Yes, the input normalizer infers and maps clinical question origins into PICO elements including populations, interventions, comparators, and outcomes. It generates standardized research questions to drive RWD planning and documentation.

Does the normalized clinical data model work with downstream RWD study design modules?▼

Yes, the normalizer produces deterministic outputs with explicit mappings and validation steps specifically designed for compatibility with downstream RWD study design and planning Skill modules.

What is the best way to standardize diverse pharmacology inputs into a unified research schema?▼

The best way to standardize pharmacology inputs is to unify drug, PICO, and clinical question formats into a single structured data model. This approach ensures explicit mappings and deterministic outputs for research question generation.