clinical-decision-support-rules

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Develop and maintain clinical decision support rules including alerts, reminders, order sets, and evidence-based recommendations within EHR systems

AI & Automation 814 stars 53 forks Updated today MIT

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Skill Content

# 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...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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