ehr-advantage-designer

Design EHR-RWD study designs from research questions and clinical data inputs.

Updated Jan 18, 2026

Search Tags:#ehr #research-design #clinical-research #rwd #real-world-data #observational-study

Ready to run

npx skills add https://github.com/tito-gh/healthcare --skill ehr-advantage-designer

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Design robust study designs that maximize the unique strengths of our EHR-RWD, translating narrative progress notes, clinical summaries, and lab data into research-ready design elements that claims databases cannot capture.

Core Features & Use Cases

Leverage longitudinal narrative data such as progress notes and lab results to define exposure, outcomes, and confounding factors with higher fidelity.
Map input parameters (RESEARCH_QUESTION, DRUG, INDICATION, OUTCOME_INTEREST, COMPARATOR, SUBGROUPS) into concrete study design components and analytic plans.
Provide an end-to-end EHR advantage framework enabling reproducible extraction, structuring, and evaluation beyond what claims data can offer.

Quick Start

Provide a RESEARCH_QUESTION, DRUG, INDICATION, and OUTCOME_INTEREST to generate a full EHR-based study design.

Frequently Asked Questions about ehr-advantage-designer

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

FAQPage Schema

How do I design an observational study using EHR real-world data instead of claims databases?▼

To design an EHR real-world data study, you map parameters like RESEARCH_QUESTION, DRUG, and OUTCOME_INTEREST into structured components that leverage longitudinal narrative notes and lab results, enabling higher fidelity exposure and outcome definitions than claims databases capture.

Can I use clinical progress notes and lab results to define outcomes for an observational study?▼

Yes, you can use clinical progress notes and lab results to define outcomes for an observational study. Translating narrative text and clinical summaries into research-ready elements allows higher fidelity outcome definitions than claims data permits.

What is the best way to structure a research design for EHR-driven clinical research?▼

The best way to structure EHR-driven clinical research is applying a defined data asset framework and an explicit EHR advantage process. This ensures reproducible extraction pipelines, structured summaries, and robust outcome definitions across conditions.

Do I need to specify a comparator drug to generate an EHR-based observational study design?▼

No, specifying a comparator drug is optional. You must provide a RESEARCH_QUESTION, DRUG, INDICATION, and OUTCOME_INTEREST, while COMPARATOR and SUBGROUPS are optional input parameters for generating the full study design.

Why use EHR real-world data over claims data for observational study design?▼

Use EHR real-world data over claims data to exploit clinical strengths not available in claims databases. EHR data provides longitudinal text, clinical summaries, and laboratory results that enable research questions claims databases cannot answer.

How do I ensure reproducible pipelines when extracting data for an EHR-RWD study?▼

You ensure reproducible pipelines by requiring explicit frontmatter fields and a defined data asset framework. This structured EHR advantage process governs extraction, structuring, and evaluation of EHR real-world data.