Case Study: a reputed healthcare data analytics solutions enterprise achieves transparency in coverage insights with KANINI's AI-powered analytics platform

An AI-powered Analytics Platform to Leverage Transparency in Coverage Data

A reputed healthcare data analytics solutions enterprise was struggling to help its clients comprehend and analyze the massive volume of Machine-readable File (MRF) data generated by healthcare payers due to new regulations. This prevented them from providing desired transparency to stakeholders for informed health plan decisions. KANINI developed a proof-of-concept for a customized, AI-powered analytics platform to address this challenge.

KANINI implemented a serverless, AI-powered analytics platform using AWS Lambda, Apache Spark, and Power BI. The solution automated data processes, delivered interactive visualizations for price and quality transparency, and provided an OpenAI-based Q&A service. This empowered patients to choose cost-effective treatments and high-quality providers, enabled data-driven responses to patient queries, and automated workflows for significant time and cost savings.