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Manage drug discount program overlap in one place 

Duplicate discounts happen. Truzo makes addressing them easy.

Addressing Revenue Leakage

Over half of gross-to-net leakage is due to drug discount programs. How do you ensure integrity?

With the drug discount ecosystem ballooning in size and complexity, stakeholders are struggling to navigate compliance and ensure accurate discounts. Truzo brings together previously fragmented data sources for an unprecedented view of claims at every point in the drug discount life cycle.

Built on a claims data engine like no other

  • Seamless ingestion and harmonization of industry and claims data
  • Easy identification of cross-program duplicate discounts  
  • Conveniently configurable to manufacturer policies for submission validations 
  • Spot purchase anomalies with advanced analytics  
  • Simplified dispute workflow and resolution 

Discount Monitoring Key Features

Discount Monitoring process

01 Covered entity claim submission
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02 Integrity and eligibility checks
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03 Action recommendation
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04 Kalderos CS team CE follow up
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Connecting Stakeholders

Truzo brings stakeholders together through more than just technology

Data

Truzo aggregates and harmonizes data from industry sources, providers, covered entities, payers, and manufacturers and delivers actionable insights for informed decision‑making.

Technology

Enterprise-grade security ensures compliance with data protection standards and scalable infrastructure that adapts to regulatory and industry changes.

Services

Comprehensive service teams provide legal, regulatory, and program expertise to covered entities, manufacturers, and payers.

Networks

Robust covered entity and state network and partnerships

Webinar

Taking action amidst 340B uncertainty with Truzo

With ongoing 340B litigation, administrative shifts, and regulatory uncertainty, drug manufacturers face a complex and uncertain environment. At the same time, issues like program diversion and duplicate discounts continue to escalate, highlighting the need for better data quality and more transparency. How can manufacturers regain control of these challenges as new models remain in limbo?

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