clinical-documentation-query
Generate compliant physician queries to clarify clinical documentation for accurate coding, severity of illness, and risk of mortality capture
Best use case
clinical-documentation-query is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Generate compliant physician queries to clarify clinical documentation for accurate coding, severity of illness, and risk of mortality capture
Teams using clinical-documentation-query 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/clinical-documentation-query/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How clinical-documentation-query Compares
| Feature / Agent | clinical-documentation-query | 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?
Generate compliant physician queries to clarify clinical documentation for accurate coding, severity of illness, and risk of mortality capture
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
# Clinical Documentation Query Generate compliant physician queries to clarify clinical documentation for accurate coding, severity of illness, and risk of mortality capture. ## Overview This skill enables creation of compliant clinical documentation queries. It encompasses query identification, compliant query writing, physician engagement, and response tracking to improve documentation accuracy and coding specificity. ## Capabilities ### Query Identification - Documentation gap analysis - Clinical indicator review - Coding specificity needs - Quality measure support - DRG optimization ### Compliant Query Writing - Non-leading queries - Multiple choice formats - Open-ended questions - Clinical indicator inclusion - Evidence-based requests ### Query Types - Diagnosis clarification - Severity specification - Causation documentation - Present on admission - Clinical significance ### Response Management - Query tracking - Response monitoring - Documentation updates - Escalation procedures - Outcome analysis ## Usage Guidelines ### Query Process 1. Review clinical documentation 2. Identify opportunities 3. Gather clinical evidence 4. Draft compliant query 5. Submit to physician 6. Track response 7. Update documentation ### Compliance Requirements - Non-leading format - Clinical evidence basis - Multiple response options - Include "unable to determine" - No financial motivation mention ### Best Practices - Query concurrently when possible - Use clinical indicators - Be specific but not leading - Provide relevant context - Track response rates ## Integration Points ### Related Processes - Clinical Documentation Improvement - Medical Coding Compliance - Quality Reporting Program Compliance ### Collaborating Skills - medical-coding-audit - quality-metrics-measurement - regulatory-compliance-assessment ## References - AHIMA CDI Practice Brief - ACDIS query guidelines - OIG compliance guidance - CDI best practices
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