Achieving 75% Faster Reporting in Medicaid Analytics with Generative BI

Achieving 75% Faster Reporting in Medicaid Analytics with Generative BI

ORGANIZATION

Liife, Inc. is a multi-domain healthcare technology company primarily focused on eliminating fraud, waste, and abuse (FWA) within the healthcare system, extending its solutions to other sectors as well. The company’s central mission is to improve operational efficiency and patient safety by tackling misidentification and fraud through advanced technology. By leveraging state-of-the-art technology (including blockchain and cryptography), Liife ensures secure, real-time verification of identities.

One of the company’s focus areas is on providing analytics solutions (AI-Driven Generative BI or GenBI) to healthcare professionals, state Medicaid agencies, and hospitals that manage massive Medicaid datasets.

CHALLENGE

Healthcare organizations and state Medicaid agencies managing massive, complex Medicaid datasets were facing a critical bottleneck in accessing insights. Routine reporting required specialized technical expertise, often demanding analysts to write complex SQL queries and spend days or even weeks creating custom reports. This time-intensive process delayed critical operational and strategic decision-making in high-stakes areas like patient risk stratification, fraud and waste detection, and population health management, resulting in suboptimal patient outcomes and unnecessary costs. The client needed a solution that democratized data access using natural language.

GOALS / OBJECTIVES

The core objective was to transform healthcare analytics by enabling self-service analytics for end-users via natural language queries. Specific goals included providing real-time data processing, automated report generation and visualization, enabling on-demand “before and after” analysis, and achieving a significant reduction in report generation time.

SOLUTION

Tgix successfully developed and deployed to production a fully functional, AI-Driven Generative Business Intelligence (GenBI) solution, LiifeAI. This API-first, cloud-native engine completely bypasses traditional BI report creation by enabling end-users to query data using natural language, providing instant, visualized insights.

  • Generative AI Core: The solution is powered by a specialized Generative AI engine leveraging Amazon Bedrock for advanced Natural Language to SQL conversion. This process is tuned using healthcare-specific language models and context-aware query processing to ensure accuracy against sensitive Medicaid data schemas.
  • Data and Visualization: Data is securely ingested into an Amazon S3 data lake, pre-processed, and loaded into Amazon QuickSight SPICE, its high-performance in-memory engine. Amazon QuickSight Q is integrated with the GenBI engine to handle the natural language querying and automated, dynamic visualization generation (“data storytelling”).
  • Compliance and Security: The entire architecture is rigorously designed to maintain HIPAA compliance and adhere to stringent security standards, critical for the protection of Personal Health Information (PHI).

RESULTS

The GenBI solution successfully transitioned to production, delivering immediate and quantifiable impact on operational efficiency. Report generation time was reduced by 75%. Self-service reports are now generated in minutes, accelerating critical decision-making cycles from weeks to hours, and freeing up analysts to focus on complex, predictive modeling and strategic projects rather than routine report creation.

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