AI Compliance Advisor - Administrator Guide

Documentation Index

Fetch the complete documentation index at: https://docs.encoreos.io/llms.txt

Use this file to discover all available pages before exploring further.

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Overview

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Enabling AI Features

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Prerequisites

• Organization administrator or compliance officer role
• Access to GR module settings

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Enable AI for Your Organization

1. Navigate to GR → Settings
2. Click the AI tab
3. Toggle Enable AI Compliance Advisor to ON
4. Click Save Changes

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Disable AI Features

1. Navigate to GR → Settings → AI
2. Toggle Enable AI Compliance Advisor to OFF
3. Click Save Changes

Note: Disabling AI does not delete existing AI-generated data. Users will retain access to previously generated suggestions.

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Managing AI Suggestions

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Review Workflow

1. Navigate to GR → AI → Suggestions
2. Filter by Status: Pending to see unreviewed suggestions
3. Click on a suggestion to review details
4. Take action:
   • Accept: Marks suggestion as approved, may create related records
   • Reject: Dismisses suggestion with a documented reason
   • Defer: Saves for later review

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Bulk Actions

1. Select suggestions using checkboxes
2. Use bulk action buttons:
   • Accept Selected
   • Reject Selected (prompts for reason)

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Suggestion Lifecycle

AI Generated → Pending → Review
                           ↓
                    ┌──────┴──────┐
                    ↓             ↓
               Accepted       Rejected
                    ↓
               Implemented

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Reviewing AI Gap Analyses

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Gap Analysis Workflow

1. Generate: User or scheduled job triggers gap analysis
2. Review: Compliance officer reviews findings
3. Validate: Confirm or adjust gap severity/priority
4. Action: Create remediation tasks or dismiss false positives

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Managing Gap Analyses

1. Navigate to GR → AI → Gap Analysis
2. View analyses by requirement or date
3. For each gap:
   • Verify accuracy against actual compliance status
   • Adjust priority if needed
   • Create remediation action or dismiss

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Creating Remediation from Gaps

1. Open a gap analysis result
2. Click Create Remediation on any gap item
3. The system pre-fills:
   • Description from gap analysis
   • Suggested actions as tasks
   • Priority based on gap priority
4. Assign owner and due date
5. Save to create remediation record

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Audit Preparation Management

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Managing AI Audit Prep

1. Navigate to GR → AI → Audit Prep
2. View preparation assessments by audit
3. For each assessment:
   • Review readiness score and narrative
   • Validate checklist items
   • Assign checklist items to staff
   • Track completion

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Readiness Score Interpretation

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Exporting Audit Prep

• Click Export to generate a PDF or Excel checklist
• Use for team distribution and tracking
• Include in audit preparation documentation

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AI Risk Assessment Management

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Managing AI Risk Assessments

1. Navigate to GR → AI → Risk Assessment
2. View assessments by risk
3. For each assessment:
   • Compare AI scores with current risk scores
   • Validate or adjust likelihood/impact
   • Review suggested mitigation strategy
   • Create mitigation actions if appropriate

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Applying AI Recommendations

1. Open the assessment details
2. Click Apply to Risk
3. Select which values to update:
   • Likelihood score
   • Impact score
   • Mitigation strategy
4. Add any manual adjustments
5. Save to update the risk record

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AI Prompt Templates

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Compliance Chat

• General compliance guidance
• Regulatory interpretation
• Documentation requirements
• Best practices

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Requirement Identification

• Organization type
• Accreditations held
• State of operation
• Services provided

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Gap Analysis

• Evidence gaps (missing documentation)
• Check gaps (missing verifications)
• Training gaps (staff training needs)
• Policy gaps (missing/outdated policies)

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Audit Preparation

• Audit type (CARF, State, CMS)
• Historical findings
• Current compliance status
• Documentation completeness

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Risk Assessment

• Likelihood (1-5 scale)
• Impact (1-5 scale)
• Risk matrix calculation
• Mitigation strategy recommendations

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AI Model Information

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Models Used

• Default: Google Gemini 2.5 Flash (balanced speed/quality)
• Complex analysis may use higher-capability models

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Model Capabilities

• Regulatory knowledge (CARF, Joint Commission, CMS, HIPAA, SAMHSA)
• State licensing requirements
• Compliance best practices
• Gap identification
• Risk assessment methodology

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Model Limitations

• Knowledge may not include latest regulatory updates
• Cannot access external databases or real-time data
• Provides guidance, not legal advice
• May not know state-specific variations for all states

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Best Practices

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Getting Accurate AI Results

1. Provide Context: When using AI chat, include relevant details:
   • Organization type (recovery housing, behavioral health)
   • Accreditations (CARF, Joint Commission)
   • State of operation
   • Specific services offered
2. Be Specific: Ask targeted questions rather than broad ones:
   • ✅ “What are CARF documentation requirements for medication management?”
   • ❌ “Tell me about CARF”
3. Verify Outputs: Always validate AI suggestions against:
   • Current regulatory standards
   • State-specific requirements
   • Your organization’s specific context
4. Use Confidence Scores: Pay attention to confidence levels:
   • High confidence (80%+): Likely accurate
   • Lower confidence: Requires more validation

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Reviewing AI Suggestions Efficiently

1. Prioritize by Type: Review in this order:
   • Critical priority items first
   • Requirement suggestions (new compliance needs)
   • Gap suggestions (current deficiencies)
   • Remediation suggestions (action items)
2. Batch Similar Items: Group related suggestions for efficient review
3. Document Rejections: When rejecting, provide clear reasons to:
   • Inform future AI improvements
   • Maintain audit trail
   • Help other reviewers understand decisions

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Data Privacy

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What Data is Sent to AI

• Anonymized organizational context
• Regulatory framework references
• Compliance questions and queries
• Never: PHI, PII, or identifying information

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Data Protection

• All AI interactions are logged for audit purposes
• No patient/resident identifiable information is included
• AI suggestions are stored in your organization’s database
• Data remains within your organization’s tenant

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PHI Protection

• Uses anonymized references (e.g., “Resident R-001”)
• Strips identifying information from prompts
• Blocks queries that appear to contain PHI

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Rate Limits & Usage

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Understanding Rate Limits

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Managing Usage

• Monitor usage through the AI dashboard
• Prioritize AI use for high-value activities
• Use batch operations when possible
• Cache results rather than regenerating

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Troubleshooting

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Common Issues

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AI Not Working

1. Verify AI is enabled: GR → Settings → AI
2. Check for error messages in the UI
3. Try a simple test query in AI Chat
4. Check network connectivity
5. Contact system administrator if issues persist

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Reporting AI Issues

1. Note the specific suggestion/analysis ID
2. Document what was incorrect
3. Provide the expected correct answer if known
4. Submit feedback through the suggestion interface

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Module Settings Reference

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AI Settings Tab

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Related Settings

• Organization type and accreditations (contextual)
• State of operation (regulatory context)
• Services offered (requirement filtering)

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Security Considerations

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Access Control

• All org members can view AI suggestions
• All org members can generate AI content
• Only compliance officers can accept/reject suggestions
• Only compliance officers can delete AI data

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Audit Trail

• User who triggered generation
• Timestamp
• Input context
• Generated output
• Accept/reject decisions with reasons

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Data Retention

1. Navigate to the AI dashboard
2. Select items to delete
3. Confirm deletion (compliance officer only)

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Related Documentation

• AI User Guide
• AI Prompts Reference
• Compliance Admin Guide
• Audit Admin Guide
• Risk Admin Guide