risk-stratification-indices

Select and interpret LACE, Charlson, and Elixhauser risk indices.

13|5|Updated May 4, 2026

Search Tags:#clinical #risk-stratification #population-health #sdoh #comorbidity #hcls

Ready to run

npx skills add https://github.com/awslabs/hcls-agent-skills --skill risk-stratification-indices

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: risk-stratification-indices
Source: https://github.com/awslabs/hcls-agent-skills/tree/main/skills/risk-stratification-indices
Command: npx skills add https://github.com/awslabs/hcls-agent-skills --skill risk-stratification-indices

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill addresses the complexity of selecting and interpreting clinical risk stratification indices, ensuring that healthcare providers use the correct methodology for specific patient outcomes like readmission or mortality.

Core Features & Use Cases

Index Selection: Provides a decision framework to choose between LACE, Charlson, Elixhauser, and CMS-HCC based on the clinical use case.
Risk Interpretation: Offers standardized scoring logic for readmission risk, comorbidity weighting, and SDOH impact.
Use Case: A population health manager can use this skill to determine whether a patient cohort requires intensive care coordination based on a combination of clinical risk scores and social determinants of health.

Quick Start

Use the risk-stratification-indices skill to interpret a patient's LACE score and recommend an appropriate outreach tier based on their clinical and SDOH data.

Frequently Asked Questions about risk-stratification-indices

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

FAQPage Schema

How do I choose between LACE, Charlson, and Elixhauser for clinical risk stratification?▼

Integrating SDOH Z-codes with clinical comorbidity scores allows population health managers to stratify cohorts effectively, determining whether patients require intensive care coordination based on combined clinical and social determinant risks.

What is the best way to interpret a LACE score for readmission prediction?▼

Interpreting a LACE score for readmission prediction involves evaluating Length of stay, Acuity, Comorbidity, and ED visits. This skill provides standardized scoring logic to recommend appropriate patient outreach tiers based on the result.

Can I use social determinants of health Z-codes for population health management?▼

Yes, you can use SDOH Z-codes for population health management by combining them with ADI percentiles and clinical comorbidity weights. This integration ensures accurate application of validated scoring systems for care coordination planning.

Does risk stratification work with CMS-HCC for resource utilization planning?▼

Risk stratification works with CMS-HCC to support resource utilization planning. The skill provides a decision framework to select CMS-HCC alongside LACE, Charlson, or Elixhauser based on specific clinical and population health use cases.

When should I not use Charlson comorbidity weighting for mortality adjustment?▼

Charlson comorbidity weighting should not be used for short-term readmission prediction, as it is primarily designed for long-term mortality adjustment. Use LACE instead for readmission risk, ensuring the index matches the clinical outcome.