comorbidity

Generate patient conditions with ICD-10 and SNOMED CT codes and comorbidity relationships.

Updated Feb 9, 2026
One-click install
npx skills add https://github.com/alvinhenrick/fhir-synth --skill comorbidity
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: comorbidity
Source: https://github.com/alvinhenrick/fhir-synth/tree/main/src/fhir_synth/skills/builtin/comorbidity
Command: npx skills add https://github.com/alvinhenrick/fhir-synth --skill comorbidity

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It simplifies the creation of patient condition data with accurate coding and relationships, enabling realistic healthcare data simulation.

Core Features & Use Cases

  • Clinical Condition Simulation: Generate Conditions with ICD-10 and SNOMED codes, categories, severities, and staging information.
  • Comorbidity Clustering: Create co-occurring diseases like metabolic syndrome or cardiovascular cascades to reflect real-world patient profiles.
  • Use Case: Generate a patient's chronic disease list with linked encounter data and severity levels for research or system testing.

Quick Start

Use the comorbidity skill to generate a set of conditions for a patient with multiple chronic diseases.

Frequently Asked Questions about comorbidity

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

FAQPage Schema
How do I generate realistic patient condition data with ICD-10 and SNOMED codes?

To generate patient condition data with ICD-10 and SNOMED codes, you use this skill to create realistic clinical profiles that include categories, severities, and staging information for healthcare simulation and analysis.

Can I simulate comorbidity clusters like metabolic syndrome for patient profiles?

You can simulate comorbidity clusters by generating co-occurring diseases such as metabolic syndrome or cardiovascular cascades, which reflect real-world patient profiles with linked chronic conditions and severity levels.

What is the best way to create chronic disease lists with severity and staging for research?

Creating chronic disease lists with severity and staging is best handled by generating condition data that applies detailed clinical coding and references relevant clinical evidence for system testing or research.

Does this comorbidity generation approach require specific coding standards for interoperability?

Comorbidity generation requires SNOMED CT and ICD-10 coding standards to ensure interoperability, enabling accurate condition mapping and realistic healthcare data simulation across clinical systems.

How do I add body sites and clinical evidence references to simulated conditions?

To add body sites and clinical evidence references to simulated conditions, the skill generates detailed patient profiles that apply staging, severity levels, and references to relevant clinical evidence.

When do I need to generate condition clusters for healthcare system testing?

You need to generate condition clusters for healthcare system testing when you require realistic patient condition data with accurate coding and comorbid relationships to validate clinical workflows or research models.

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