quality-metrics-measurement
Collect, calculate, and report healthcare quality metrics including core measures, HEDIS, patient safety indicators, and value-based purchasing measures
Best use case
quality-metrics-measurement is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Collect, calculate, and report healthcare quality metrics including core measures, HEDIS, patient safety indicators, and value-based purchasing measures
Teams using quality-metrics-measurement should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/quality-metrics-measurement/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How quality-metrics-measurement Compares
| Feature / Agent | quality-metrics-measurement | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Collect, calculate, and report healthcare quality metrics including core measures, HEDIS, patient safety indicators, and value-based purchasing measures
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Quality Metrics Measurement Collect, calculate, and report healthcare quality metrics including core measures, HEDIS, patient safety indicators, and value-based purchasing measures. ## Overview This skill enables measurement and reporting of healthcare quality metrics. It encompasses data collection, metric calculation, benchmarking, and reporting to support quality improvement and regulatory compliance. ## Capabilities ### Core Measures - CMS quality measures - Joint Commission measures - State-required metrics - Specialty-specific measures - Outcome measures ### HEDIS Metrics - Effectiveness of care - Access/availability - Experience of care - Utilization metrics - Health plan measures ### Patient Safety Indicators - AHRQ PSIs - Hospital-acquired conditions - Never events tracking - Mortality indicators - Complication rates ### Value-Based Metrics - Value-based purchasing measures - MIPS quality measures - ACO quality metrics - Bundled payment measures - Risk adjustment ## Usage Guidelines ### Measurement Process 1. Identify required measures 2. Define data sources 3. Establish collection methods 4. Calculate metrics accurately 5. Validate data quality 6. Benchmark performance 7. Report results ### Data Quality - Validate data completeness - Verify accuracy - Check for outliers - Ensure consistency - Document exceptions ### Reporting Standards - Follow specification manuals - Meet submission deadlines - Use required formats - Document methodology - Maintain audit trails ## Integration Points ### Related Processes - PDSA Cycle Implementation - Quality Reporting Program Compliance - HRO Implementation ### Collaborating Skills - clinical-workflow-analysis - patient-safety-event-analysis - regulatory-compliance-assessment ## References - CMS quality measure specifications - NCQA HEDIS technical specifications - AHRQ quality indicators - Joint Commission standards
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