chronic-pain-management-review

Aggregate patient data to generate chronic pain management reviews with MME calculations.

53|12|Updated Jan 26, 2026
One-click install
npx skills add https://github.com/langcare/langcare-mcp-fhir --skill chronic-pain-management-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: chronic-pain-management-review
Source: https://github.com/langcare/langcare-mcp-fhir/tree/main/skills/core/specialty/chronic-pain-management-review
Command: npx skills add https://github.com/langcare/langcare-mcp-fhir --skill chronic-pain-management-review

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Pulls together patient demographics, diagnoses, medications, lab results, and functional scores to produce a structured, risk-aware chronic pain management review.

Core Features & Use Cases

  • Aggregates demographics, pain conditions, current analgesic therapy, urine drug screens, and PDMP data to assess risk and guide therapy.
  • Calculates Total Daily MME, flags high-risk patterns (benzodiazepine co-prescribing, outdated UDS, missing naloxone), and suggests safety mitigations.
  • Generates a detailed Pain Management Review with actionable recommendations for multimodal therapy and opioid stewardship.
  • Use Case: Clinician requests a comprehensive risk stratification and plan to optimize chronic pain management for a patient on long-term opioid therapy.

Quick Start

Run a Pain Management Review for a selected patient ID to obtain a complete analysis and recommendations.

Frequently Asked Questions about chronic-pain-management-review

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

FAQPage Schema
How do I calculate total daily MME for chronic pain management?

Chronic pain management review aggregates patient demographics, pain diagnoses, and current analgesic medications to calculate total daily MME and generate safety flags for long-term opioid therapy.

How does opioid safety risk stratification work with PDMP and UDS data?

Opioid safety risk stratification works by aggregating PDMP data, urine drug screens, and medication lists to flag high-risk patterns like benzodiazepine co-prescribing and suggest safety mitigations.

Can I use FHIR data to generate a multimodal pain management plan?

FHIR data integration supports multimodal pain management plans by aggregating patient demographics, labs, and functional scores to deliver evidence-based recommendations and opioid stewardship guidance.

What is the best way to review chronic pain treatment for high-risk opioid patterns?

The best way to review chronic pain treatment for high-risk opioid patterns is to aggregate diagnoses, medications, and UDS data to flag benzodiazepine co-prescribing, outdated UDS, and missing naloxone.

Does chronic pain management review support UDS reporting standards?

Chronic pain management review supports UDS reporting standards by integrating observational data synthesis and end-to-end data integration to satisfy decision-support requirements for opioid safety.