domain-research-health-science

# Domain Research: Health Science

## Table of Contents
- [Purpose](#purpose)
- [When to Use](#when-to-use)
- [What Is It?](#what-is-it)
- [Workflow](#workflow)
- [Common Patterns](#common-patterns)
- [Guardrails](#guardrails)
- [Quick Reference](#quick-reference)

## Purpose

This skill helps structure clinical and health science research using evidence-based medicine frameworks. It guides you through formulating precise research questions (PICOT), evaluating study quality (hierarchy of evidence, bias assessment, GRADE), prioritizing outcomes (patient-important vs surrogate), and synthesizing evidence for clinical decision-making.

## When to Use

Use this skill when:

- **Formulating research questions**: Structuring clinical questions using P ICO T (Population, Intervention, Comparator, Outcome, Timeframe)
- **Evaluating evidence quality**: Assessing study design strength, risk of bias, certainty of evidence (GRADE framework)
- **Prioritizing outcomes**: Distinguishing patient-important outcomes from surrogate endpoints, creating outcome hierarchies
- **Systematic reviews**: Planning or conducting systematic reviews, meta-analyses, or evidence syntheses
- **Clinical guidelines**: Creating evidence summaries for practice guidelines or decision support
- **Trial design**: Designing RCTs, pragmatic trials, or observational studies with rigorous methodology
- **Regulatory submissions**: Preparing evidence dossiers for drug/device approval or reimbursement decisions
- **Critical appraisal**: Evaluating published research for clinical applicability and methodological quality

Trigger phrases: "clinical trial design", "systematic review", "PICOT question", "evidence quality", "bias assessment", "GRADE", "outcome measures", "research protocol", "evidence synthesis", "study appraisal"

## What Is It?

Domain Research: Health Science applies structured frameworks from evidence-based medicine to ensure clinical research is well-formulated, methodologically sound, and clinic