Bad PBM Data?

💊 The Data You Overlook Is Costing You — How Intelligent Axis Fixes PBM Chaos

In healthcare, it’s not just about access to data — it’s about understanding it, validating it, and putting it to work. Nowhere is this more urgent than in pharmacy benefit management (PBM), where messy data can mean unpaid claims, inaccurate accumulators, and frustrated members.

Brokers and TPAs often receive PBM data in various formats: pipe-delimited .txt files, fixed-width flat files, or CSVs with no headers and undocumented fields. Each PBM — whether it’s Optum, Caremark, Cigna, or True Rx — has its own data structure, terminology, and logic.

Claims systems like Javellina, Qlink, and VBA expect clean, normalized data. The problem? PBM files are anything but.

That’s where Intelligent Axis comes in.

🧠 Schema-Driven Parsing That Brings Order to Chaos

At Intelligent Axis, we’ve built robust schema-based parsers that understand the unique data model of every PBM we support — including Welldyne, Smith Rx, RxBenefits, Navitus, Magellan, and more.

This means we don’t just process PBM files — we understand them at a granular level and also can show you reports based on the data..

🛠️ From Raw Files to Usable Intelligence

Whether the file is missing headers or uses outdated codes, our system:

• Parses and maps the raw input using predefined schemas

• Validates key values like SSNs, NDCs

• Normalizes the structure across PBM sources.

• Outputs clean, claim-ready data into your preferred system.

You don’t have to guess what’s in a column, hardcode rules, or fix formats manually. We’ve already done that.

🚀 Built for Integration. Built for Scale.

If you're a broker, TPA, or health plan dealing with 20+ different PBM data sources, IA is your data engine. We enable seamless ingestion, accurate validation, and downstream integration with any claim system.

Let us take the burden of PBM data cleanup off your hands — so you can focus on service, strategy, and scale.