Patient Communication Simplifier

Name: Patient Communication Simplifier
Availability: InStock
Author: Writer

Simplify healthcare communications to target health literacy levels using readability scoring.

6|5|Updated Feb 4, 2026

Search Tags:#readability #healthcare #plain language #health literacy #patient communication #teach-back

Ready to run

npx skills add https://github.com/writer/skills --skill patient-communication-simplifier-writer

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Patient Communication Simplifier
Source: https://github.com/writer/skills/tree/main/skills/patient-communication-simplifier
Command: npx skills add https://github.com/writer/skills --skill patient-communication-simplifier-writer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill addresses the critical issue of health literacy by transforming complex medical information into easily understandable language for patients, ensuring they can comprehend and act upon vital health instructions.

Core Features & Use Cases

Readability Transformation: Converts clinical jargon and complex sentences into plain language using validated readability scores (Flesch-Kincaid, SMOG).
Health Literacy Calibration: Tailors content to specific health literacy levels and audience contexts.
Comprehension Verification: Generates teach-back questions to confirm patient understanding.
Use Case: A hospital can use this Skill to automatically simplify discharge instructions for patients, ensuring they understand medication schedules, follow-up appointments, and warning signs, thereby reducing readmissions.

Quick Start

Use the Patient Communication Simplifier skill to simplify the following discharge instructions for a patient with a 6th-grade reading level.

Frequently Asked Questions about Patient Communication Simplifier

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

FAQPage Schema

How do I simplify clinical discharge instructions for patients with low health literacy?▼

To simplify clinical discharge instructions for low health literacy, the Skill transforms complex medical jargon into plain language, calibrating content to target reading levels like a 6th-grade proficiency using Flesch-Kincaid and SMOG readability scoring.

What is the teach-back method for verifying patient comprehension of medical information?▼

The teach-back method for verifying patient comprehension involves generating specific questions that ask patients to restate health instructions in their own words. The Skill integrates this verification framework to confirm patients understand and can act upon vital clinical communications.

How do I convert complex medical jargon into plain language for healthcare communications?▼

To convert complex medical jargon into plain language for healthcare communications, the Skill applies validated readability scores including Flesch-Kincaid, SMOG, and SAM scoring. This process calibrates administrative and clinical text to specific audience health literacy levels.

Does this Skill support SMOG and SAM readability scoring for patient education materials?▼

Yes, the Skill supports SMOG and SAM readability scoring for patient education materials. It uses these validated scoring mechanisms alongside Flesch-Kincaid grading to ensure complex clinical communications are transformed into accessible plain-language content.

Can I tailor administrative healthcare text to specific reading grade levels?▼

Yes, you can tailor administrative healthcare text to specific reading grade levels. The Skill performs health literacy calibration, allowing you to specify target reading levels and automatically adjust sentence complexity and vocabulary for patient communications.

What is the best way to ensure patient materials comply with health communication standards?▼

The best way to ensure patient materials comply with health communication standards is to apply validated readability scores and teach-back verification frameworks. The Skill uses Flesch-Kincaid, SMOG, and SAM scoring to address accessible patient material compliance.