SkillHealthcare & Life Sciences
multimodal-analysis
Analyzes medical images (X-ray, MRI, CT) using multimodal LLMs to identify anomalies and generate reports.
◈OpenClaw
By mdbabumiamssmOriginal project
MIT · FreeView skill
Installable skillMIT
Clinical Decision Support Rules
Develop and maintain clinical decision support rules including alerts, reminders, order sets, and evidence-based recommendations within EHR systems
instructions.md
--- name: clinical-decision-support-rules description: Develop and maintain clinical decision support rules including alerts, reminders, order sets, and evidence-based recommendations within EHR systems allowed-tools: Read, Grep, Write, Edit, Glob, Bash, WebFetch graph: domains: [domain:healthcare] specializations: [specialization:clinical-informatics] skillAreas: [skill-area:data-governance, skill-area:business-analysis, skill-area:data-quality] workflows: [workflow:experiment-design] roles: [role:data-analyst, role:business-analyst] --- # 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--- name: clinical-decision-support-rules description: Develop and maintain clinical decision support rules including alerts, reminders, order sets, and evidence-based recommendations within EHR systems allowed-tools: Read, Grep, Write, Edit, Glob, Bash, WebFetch graph: domains: [domain:healthcare] specializations: [specialization:clinical-informatics] skillAreas: [skill-area:data-governance, skill-area:business-analysis, skill-area:data-quality] workflows: [workflow:experiment-design] roles: [role:data-analyst, role:business-analyst] --- # 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
COMPATIBILITY & REFERENCES
Platform guidance
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.