DataVault AI Platform

Enterprise AWS AI-Enhanced Analytics - Multi-Step Demo

Step 1: Data Sources & Problem Statement

Medicaid agencies manage vast amounts of data from diverse sources. The DataVault AI Platform integrates these sources seamlessly using AWS services to create a unified, intelligent data pipeline.

⚠️ The Current Challenge

Traditional data management approaches struggle with Medicaid's complexity, leading to inefficiencies, data quality issues, and delayed insights.

⏱️
Slow Processing
6-8 hours for manual data processing and validation
High Error Rates
12-15% error rate due to manual data entry and validation
🔍
Quality Issues
Missing values, duplicates, and inconsistencies across sources
🐌
Delayed Insights
Hours to detect fraud, abuse, or operational anomalies
💰
High Costs
Excessive operational overhead from manual processes
🔒
Compliance Risk
Difficulty maintaining HIPAA compliance and audit trails

Available Medicaid Data Sources

Our platform integrates six critical Medicaid data sources into a unified analytics pipeline:

🏥
Medical Claims Data
Inpatient, outpatient, and emergency department claims with diagnoses, procedures, and costs
Format: EDI 837/CSV | Size: 4.2 GB | Records: 890,000
👥
Member Eligibility
Beneficiary demographics, enrollment periods, coverage types, and program eligibility
Format: SQL Database | Size: 2.1 GB | Records: 245,000
💊
Pharmacy Claims
Prescription fills, NDC codes, quantities, days supply, and medication costs
Format: NCPDP/Excel | Size: 1.8 GB | Records: 567,000
👨‍⚕️
Provider Data
NPI numbers, specialties, locations, performance metrics, and credentialing information
Format: CSV/JSON | Size: 890 MB | Records: 34,000
📋
Clinical Documents
Medical records, lab results, care plans, and clinical notes (unstructured data)
Format: PDF/HL7 | Size: 3.4 GB | Documents: 127,000
📊
Financial/Audit Data
Payment transactions, adjustments, denials, and audit trails
Format: CSV/Parquet | Size: 1.9 GB | Records: 423,000
Sample Data Preview: Member Eligibility

Below is a sample of member eligibility data showing typical quality issues:

Member ID Name DOB Eligibility Start Eligibility End Program County
MEM-10247 Sarah Johnson 1978-03-15 2024-01-01 2024-12-31 TANF Franklin
MEM-10248 Michael Chen 1965-07-22 2024-01-01 SSI Montgomery
MEM-10249 Emily Davis 1992-11-08 2024-12-31 ABD Hamilton
MEM-10250 Emily Davis 1992-11-08 2024-02-15 2024-12-31 ABD Hamilton
MEM-10251 Robert Williams 1955-04-30 2024-01-01 2024-12-31 Butler
MEM-10252 Lisa Anderson 2025-13-45 2024-01-01 2024-12-31 TANF Cuyahoga
⚠️ Data Quality Issues Detected: • Missing eligibility dates (Rows 2, 3)
• Potential duplicate member (Rows 3-4)
• Missing program assignment (Row 5)
• Invalid date format (Row 6)

These issues will be automatically detected and corrected by our AI quality validation system in upcoming steps.
The DataVault AI Solution

Our AWS-powered platform transforms data management with intelligent automation, reducing processing time by 92% while improving quality to 99%+

Automated data ingestion
AI-powered quality validation
Real-time processing
Intelligent entity resolution
Advanced security & compliance
Predictive analytics
Self-service dashboards
Cost optimization

Current State Metrics