clinical-decision-support-rules
Develop and maintain clinical decision support rules including alerts, reminders, order sets, and evidence-based recommendations within EHR systems
Best use case
clinical-decision-support-rules is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Develop and maintain clinical decision support rules including alerts, reminders, order sets, and evidence-based recommendations within EHR systems
Teams using clinical-decision-support-rules 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-decision-support-rules/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How clinical-decision-support-rules Compares
| Feature / Agent | clinical-decision-support-rules | 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?
Develop and maintain clinical decision support rules including alerts, reminders, order sets, and evidence-based recommendations within EHR systems
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.
Related Guides
SKILL.md Source
# Clinical Decision Support Rules Develop and maintain clinical decision support rules including alerts, reminders, order sets, and evidence-based recommendations within EHR systems. ## Overview This skill enables development and maintenance of clinical decision support within EHR systems. It encompasses rule design, alert management, order set development, and optimization to support clinical decision-making. ## Capabilities ### Alert Development - Drug-drug interactions - Drug-allergy checking - Dose range alerts - Duplicate order checking - Clinical reminders ### Order Set Design - Evidence-based orders - Condition-specific sets - Workflow integration - Preference lists - Protocol embedding ### Rule Logic - Trigger conditions - Action specifications - Suppression rules - Override tracking - Escalation logic ### Optimization - Alert fatigue reduction - Sensitivity/specificity tuning - Override analysis - Effectiveness monitoring - Continuous improvement ## Usage Guidelines ### Development Process 1. Identify clinical need 2. Review evidence base 3. Design rule logic 4. Build in test environment 5. Validate with clinicians 6. Deploy carefully 7. Monitor and optimize ### Design Principles - Clinical relevance - Workflow integration - Minimal disruption - Actionable guidance - Evidence-based content ### Maintenance Requirements - Regular content review - Performance monitoring - Override analysis - User feedback integration - Evidence updates ## Integration Points ### Related Processes - Clinical Decision Support Implementation - Clinical Pathway Development - EHR Implementation Methodology ### Collaborating Skills - health-data-integration - clinical-workflow-analysis - quality-metrics-measurement ## References - ONC CDS framework - AHRQ CDS resources - Clinical informatics standards - EHR vendor guidelines
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