Root Cause Workflow Dcoumentation v1

docs/RootCauseImprovementWorkflow.md

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+# Root Cause Improvement Workflow Documentation
+
+## Overview
+
+The Root Cause Improvement Workflow is a Human-In-The-Loop AI Assistant interface designed to help healthcare professionals analyze and optimize healthcare processes. This tool combines process mining techniques with AI-assisted analysis to identify bottlenecks, analyze common pathways, and provide recommendations for process improvements.
+
+## Key Features
+
+### Process Management
+- View and filter processes by status (New, In-Progress, Completed)
+- Filter processes by location, type, and date range
+- Select processes to view detailed information and analysis
+
+### AI-Assisted Analysis
+- Interactive chat interface for asking questions about selected processes
+- Automated insights about process bottlenecks and common pathways
+- Recommendations for process optimization based on OCEL (Object-Centric Event Log) data
+
+### Process Documentation
+- Document analysis findings
+- Export and publish analysis results
+- Track process improvements over time
+
+## Interface Components
+
+### Filters Section
+Located at the top of the page, the filters section allows users to narrow down the displayed processes:
+
+1. **Location Filter**: Select a specific hospital or healthcare facility
+2. **Process Type Filter**: Filter by process categories (e.g., Reported Barriers, Admission Process)
+3. **Date Range Filter**: Filter processes by date range
+
+### Process Items Panel
+Displays process items based on the selected tab and applied filters:
+
+1. **Status Tabs**: Switch between New, In-Progress, and Completed processes
+2. **Process Items**: Each item shows:
+   - Process title
+   - Process type with color coding
+   - Location
+   - Date
+   - Related object types (e.g., Nurse, Document, Physician)
+
+### AI Assistant Panel
+Interactive chat interface for analyzing the selected process:
+
+1. **Chat History**: Displays the conversation between the user and the AI assistant
+2. **Input Field**: Enter questions or requests for the AI assistant
+3. **Send Button**: Submit your message to the AI assistant
+
+### Process Analysis Panel
+Displays detailed information about the selected process:
+
+1. **Basic Information**:
+   - Process Type
+   - Location
+   - Status
+   - Date
+
+2. **OCEL Insights**:
+   - Event Count: Total number of events in the process
+   - Average Path Length: Average duration of the process in hours
+   - Bottleneck Activities: Activities identified as potential bottlenecks
+   - Common Pathways: Frequently occurring sequences of activities
+
+3. **Related Objects**:
+   - Types of objects involved in the process (e.g., Patient, Document, Medication)
+   - Object IDs
+
+### Analysis Section
+Text area for documenting analysis findings with options to:
+- Export the analysis
+- Publish the analysis to share with team members
+
+## Workflow
+
+### 1. Filter and Select a Process
+1. Use the filters at the top to narrow down the list of processes
+2. Select the appropriate tab (New, In-Progress, Completed)
+3. Click on a process item to view its details
+
+### 2. Review Process Details
+1. Examine the basic information about the process
+2. Review the OCEL insights to understand process performance
+3. Check the related objects to understand the scope of the process
+
+### 3. Interact with the AI Assistant
+1. Ask questions about the process (e.g., "What are the main bottlenecks?")
+2. Request recommendations for improvement
+3. Inquire about specific aspects of the process
+
+### 4. Document Your Analysis
+1. Use the analysis text area to document your findings
+2. Include AI-suggested improvements and your own insights
+3. Export or publish your analysis when complete
+
+### 5. Track Improvements
+1. Move processes from New to In-Progress when work begins
+2. Move processes to Completed when improvements are implemented
+3. Compare metrics before and after improvements
+
+## AI Capabilities
+
+The AI assistant can provide insights on:
+
+1. **Bottleneck Analysis**:
+   - Identify activities that slow down the process
+   - Quantify the impact of bottlenecks
+   - Suggest ways to address bottlenecks
+
+2. **Pathway Optimization**:
+   - Analyze common process pathways
+   - Identify inefficient paths
+   - Suggest more efficient alternatives
+
+3. **Resource Allocation**:
+   - Identify resource constraints
+   - Suggest optimal resource distribution
+   - Recommend staffing adjustments
+
+4. **Process Recommendations**:
+   - Provide specific, actionable recommendations
+   - Suggest process redesign opportunities
+   - Offer best practices from similar processes
+
+## Technical Details
+
+### Data Model
+
+The Root Cause Improvement Workflow uses an Object-Centric Event Log (OCEL) data model, which captures:
+
+1. **Events**: Activities that occur during a process
+2. **Objects**: Entities involved in the process (e.g., patients, documents)
+3. **Relationships**: Connections between events and objects
+4. **Timestamps**: When events occurred
+5. **Attributes**: Additional information about events and objects
+
+### Process Types
+
+The system supports various healthcare process types:
+
+1. **Reported Barriers**: Issues reported by staff that impede workflow
+2. **Admission Process**: Patient intake and admission procedures
+3. **Discharge Process**: Patient discharge and follow-up procedures
+4. **Perioperative Process**: Surgical and perioperative workflows
+5. **Patient Flow**: Movement of patients through the healthcare system
+6. **Medication Process**: Medication ordering, dispensing, and administration
+
+### Performance Metrics
+
+The system tracks several key performance indicators:
+
+1. **Event Count**: Total number of events in a process
+2. **Average Path Length**: Average duration of the process in hours
+3. **Bottleneck Impact**: Quantified impact of identified bottlenecks
+4. **Patient Impact**: Number of patients affected by the process
+
+## Best Practices
+
+1. **Regular Review**: Schedule regular reviews of processes, especially those with high impact
+2. **Collaborative Analysis**: Involve stakeholders from different roles in the analysis
+3. **Incremental Improvement**: Focus on implementing small, manageable improvements
+4. **Data-Driven Decisions**: Base improvement decisions on the data and insights provided
+5. **Follow-Up**: After implementing changes, review the process again to measure improvement
+
+## Troubleshooting
+
+### Common Issues
+
+1. **No processes appear in the list**:
+   - Check that your filters aren't too restrictive
+   - Verify that the date range includes relevant processes
+   - Ensure you have the necessary permissions to view processes
+
+2. **AI assistant doesn't provide specific answers**:
+   - Be more specific in your questions
+   - Select a process first before asking questions
+   - Focus questions on the specific process selected
+
+3. **Unable to export or publish analysis**:
+   - Ensure you've selected a process
+   - Make sure you've entered analysis text
+   - Check your permissions for exporting and publishing
+
+## Support
+
+For additional support or to report issues with the Root Cause Improvement Workflow, please contact the Zephyrus support team at [email protected].
+
+---
+
+*Last Updated: February 27, 2025*