Design a modern, responsive claims management interface using a kanban-style board with three fixed lanes. The interface should feel dynamic and informative, emphasizing real-time processing feedback and clear visual hierarchy.
In Queue - Claims waiting to be processed
In Progress - Claims currently being processed by AI agent
Awaiting Review - Claims pending human review/decision
Important: Unlike traditional kanban, cards CANNOT be dragged between lanes. Lane movement is determined programmatically based on claim processing state.
Time Range Filter: Dropdown defaulting to "Today"
Search: Global search across all claims
Stats Summary: Total claims count per lane with visual indicators
┌─────────────────────────────────────┐
│ 🔴 HIGH RISK #TN-20250310141735 │ <- Risk indicator + Transaction #
│ │
│ PASSION FRUIT CRIB, Flower │ <- Patient name (Last, First)
│ Member: 11067105-0 │ <- Membership number-suffix
│ │
│ 💰 $1.51 claimed │ <- Claim amount
│ 🏥 Practice: 12345 │ <- Provider practice number
│ │
│ ⏰ 2 hours ago │ <- Time since submission/last update
│ 📋 2 products, 1 service │ <- Item summary
└─────────────────────────────────────┘
In Queue: Neutral blue border, steady appearance
In Progress: Animated gradient border (pulsing), activity indicator
Awaiting Review: Orange border, attention-grabbing subtle glow
Flagged Claims: Red accent stripe on left edge
High Priority: Crown icon or priority badge
Transaction Number (e.g., TN-20250310141735)
Patient Name (PatientLastName, PatientFirstName)
Membership Number (MembershipNumber-DependantCode)
Claim Amount (ClaimAmount + Currency)
Provider Practice (ProviderPracticeNumber or ProviderPracticeName)
Time Indicator (relative time since IngestedAt/UpdatedAt)
Item Summary (product/service count from ProductResponse/ServiceResponse)
Risk Level (FraudRiskLevel as color-coded indicator)
Status Flags (IsFlagged, RequiresHumanReview)
┌─────────────────────────────────────────────────────────┐
│ Claim Details - TN-20250310141735 [❌ Close] │
│ Status: In Progress 🔄 │
│ Risk Level: 🔴 High | Flagged: ⚠️ Yes │
└─────────────────────────────────────────────────────────┘
Patient: Full name, ID, DOB, gender, dependant info
Provider: Practice name, number, contact details
Member: Scheme info, membership details
Claimed Amount: Original claim total
Approved Amount: What was approved (if any)
Breakdown: Per item claimed vs approved amounts
Currency: Display currency consistently
Products: List with codes, descriptions, quantities, amounts
Services: List with codes, descriptions, amounts
Each item: Show approval status, messages, any rejections
┌─────────────────────────────────────────────────────────┐
│ 🤖 AI Agent Processing... │
│ │
│ ┌─────────────────────────────────────────────────────┐ │
│ │ [████████████████░░░░░░░░] 78% Complete │ │
│ └─────────────────────────────────────────────────────┘ │
│ │
│ 💭 Latest Reasoning: │
│ ┌─────────────────────────────────────────────────────┐ │
│ │ > Analyzing medical codes for consistency... │ │
│ │ > Cross-referencing member eligibility... │ │
│ │ > Checking fraud patterns... │ │
│ │ > Calculating risk score... ⚡ │ │
│ └─────────────────────────────────────────────────────┘ │
└─────────────────────────────────────────────────────────┘
Risk Score: Visual gauge showing confidence level
Indicators: List of detected fraud indicators
Reasoning: Why each indicator was flagged
Ingested: When claim was received
Processing Started: When AI analysis began
Key Events: Status changes, reviews, decisions
Last Updated: Most recent activity
Approve: Green button (when ready for decision)
Reject: Red button with reason selection
Request More Info: Yellow button
Escalate: Purple button for complex cases
Breathing Border: Gentle pulsing gradient border
Processing Indicator: Subtle spinner or dot animation
Live Badge: "LIVE" indicator with gentle glow
Progress Bar: Animated fill showing completion percentage
Typing Effect: AI reasoning appears character by character
Pulse Effects: Gentle pulsing on active reasoning lines
Streaming Dots: "..." animation while waiting for next reasoning step
Success Animations: Checkmarks appearing as steps complete
Real-time Updates: Use WebSocket/SSE for live updates
Smooth Transitions: When claims move between lanes
Loading States: Skeleton loaders while fetching data
Error States: Clear error indicators with retry options
Claims should auto-refresh based on status changes
Real-time updates for in-progress claims
Optimistic updates for better UX
Virtual scrolling for large claim lists
Lazy loading of modal content
Efficient WebSocket connection management
Keyboard navigation for all interactions
Screen reader friendly labels
High contrast mode support
Focus management in modals
Mobile-first approach
Cards stack vertically on mobile
Modal becomes full-screen on mobile
Touch-friendly interaction areas
In Queue: Cool blue (#3B82F6)
In Progress: Vibrant purple (#8B5CF6) with animation
Awaiting Review: Warm orange (#F59E0B)
High Risk: Alert red (#EF4444)
Medium Risk: Warning yellow (#F59E0B)
Low Risk: Safe green (#10B981)
Background: Clean whites/grays for contrast
Card transitions: 200-300ms ease-out
Modal open/close: 250ms ease-in-out
Progress bar: 1-2s duration for completions
Typing effect: 30-50ms per character
Pulse animations: 2s cycle, infinite
This interface should feel like a living, breathing system that provides transparency into the AI processing pipeline while maintaining a clean, professional appearance suitable for healthcare/insurance workflows.
I'll create a modern claims management kanban interface with real-time processing feedback and streaming animations. This will be a comprehensive system with three fixed lanes, detailed claim cards, and an interactive modal.