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clinical_decision_algorithms

Clinical decision algorithms provide systematic, step-by-step guidance for diagnosis, treatment selection, and patient management. This guide covers algorithm development, validation, and visual presentation using decision trees and…

  • Skills
  • Scientific
  • 1

What it does and how to use it

A skill that teaches Claude Code to do scientific tasks well. It is packaged knowledge the model uses whenever it is relevant.

  1. Install the skill (command above).
  2. In Claude Code, describe what you need - the skill turns on by itself when the context fits.
  3. No commands to memorize: you talk in plain language and the skill does the rest.

Install (Claude Code)

mkdir -p .claude/skills/clinical-decision-algorithms && curl -fsSL https://doutorai.pt/data/lib/skills__clinical-decision-algorithms.md -o .claude/skills/clinical-decision-algorithms/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

# Clinical Decision Algorithms Guide

## Overview

Clinical decision algorithms provide systematic, step-by-step guidance for diagnosis, treatment selection, and patient management. This guide covers algorithm development, validation, and visual presentation using decision trees and flowcharts.

## Algorithm Design Principles

### Key Components

**Decision Nodes**
- **Question/Criteria**: Clear, measurable clinical parameter
- **Binary vs Multi-Way**: Yes/no (simple) vs multiple options (complex)
- **Objective**: Lab value, imaging finding vs Subjective: Clinical judgment

**Action Nodes**
- 

- 🔒 Full content on the Pro plan (€7.99/month) -

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