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Real-Time Healthcare Claims Analytics Portal with AI Insights
AI & Data Analytics

Real-Time Healthcare Claims Analytics Portal with AI Insights

Healthcare PBM Organization

Overview

Built a unified, real-time analytics platform integrating micro frontend architecture with embedded Tableau dashboards — replacing 5+ legacy reporting systems with a single portal featuring AI-powered anomaly detection, predictive analytics, and natural language querying for healthcare claims data.

Real-Time Healthcare Claims Analytics Portal with AI Insights — overview visual

Client Profile

IndustryHealthcare Technology / Pharmacy Benefit Administration
RegionNorth America
HeadquartersMidwest, USA (Ohio)
OperationsNationwide
Company SizeMid-Sized Enterprise (Est. 150-200 employees)

The Challenge

Fragmented reporting systems across multiple departments (5+ separate tools)

Delayed access to critical claims metrics — reporting lagged hours or days

Insufficient user experience in legacy BI tools

Difficulty scaling analytics across different teams

No AI-driven anomaly detection or predictive capabilities

Need for real-time operational insights

Solution Architecture

Micro Frontend Framework: React-based Module Federation architecture with independent deployment of analytics modules, shared component library, and runtime integration.

Tableau Integration Layer: Embedded Tableau dashboards with seamless authentication, real-time data refresh, custom filtering, and responsive embedding.

AI-Powered Analytics: Anomaly detection on claims patterns, predictive trend analysis, and natural language query interface allowing users to ask questions in plain English.

Real-Time Data Pipeline: Streaming claims data from processing systems with sub-minute latency, event-driven architecture for data updates via Kafka.

Features & Capabilities

Unified Dashboard Experience

Single pane of glass replacing 5+ legacy reporting systems

Real-Time Metrics (Sub-Minute Latency)

Live updates on claims volumes, adjudication rates, payment status

AI-Powered Anomaly Detection

Automatic flagging of unusual claim patterns and processing bottlenecks

Predictive Analytics

Forecasting claims volume trends, processing capacity needs, and exception rates

Natural Language Querying

Users ask questions in plain English about claims data

Seamless Tableau Integration

Embedded dashboards with full interactivity and authentication

Role-Based Access Control

Custom views for operations, finance, compliance, provider management

Micro Frontend Architecture

Independent deployment of analytics modules

Export & Share

PDF/CSV export and secure embed link sharing

Technology Stack

Frontend
React 18+ + TypeScript, Webpack Module Federation
BI Integration
Tableau Embedded API v3
Authentication
JWT-based authentication flow
Backend
Node.js + Express, AWS Lambda
Hosting
AWS EC2 / ECS / EKS (containerized)
CI/CD
GitHub Actions + ArgoCD (GitOps)
Data Pipeline
Real-time streaming (Kafka/SQS)
Observability
Datadog RUM, CloudWatch Logs, Prometheus/Grafana
State Management
Zustand / Redux Toolkit
AI/ML Layer
Anomaly detection, predictive analytics, NL-to-query engine

Security & Compliance

Private Network Access

Portal behind VPC; no public exposure

JWT-Based Authentication

Secure sessions with short-lived tokens

Least Privilege Access

RBAC enforced at frontend and backend

Secure Embedding

Tableau dashboards via signed URLs and token-based authentication

Data Minimization

Only necessary metrics exposed; PHI excluded from dashboards

Compliance Alignment

HIPAA (with BAA), SOC 2 Type II, NIST SP 800-53

Results & Impact

Time-to-Insight

Reduced from days to minutes

Legacy Systems Replaced

0+

5+ reporting tools consolidated into one portal

Dashboard Adoption

0x

3x increase in usage across operations teams

Manual Reporting Saved

~0

~200 hours/month eliminated

Concurrent Users

0+

100+ with Kubernetes auto-scaling

Deployment Frequency

0

3-5 deploys/week (per micro frontend)

Duration4 months
Key Outcome3x adoption, decisions in minutes, 200 hrs/month manual effort saved
Team Size5 developers (frontend, backend, DevOps)
Core GoalUnified, real-time analytics platform with Tableau + AI integration

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