Healthcare Supply Chain Analytics from Medusind helps organizations analyze their spend and creates actionable steps to refine it.
Our expert team and technology helps reduce spending and increase revenue by providing complete global
spend visibility while creating automated processes to classify spend data and identify savings opportunities.
Analyze spend history for insights
Benchmark historical spending and set / track goals
Navigate sourcing and contract negotiation waves with accurate, data-driven processes
Ensure compliance and analyze gaps with a continuous spend refresh
We give our clients global spend transparency. We help organizations create automated processes to classify spend data and identify savings opportunities.
We provide HCPCS level-2 coding services to facilitate accurate reimbursements of hospital supplies billed to a public or private insurer in compliance with CMS guidelines. Our Coding team is certified by American Academy of Professional Coders (AAPC).
Supplier pursuit and follow up on behalf of hospital customers for potential overpayments, duplicate payments, or expected tax credits.
Analysis and digitization of supplier or GPO contracts, including the extraction of effective start and end dates, key business terms, products, prices, and relevant tier information.
Normalizes the Item/supplier information including demographics of the supplier and parent-child relationship; maps the normalized data to the master database.
Medusind provides leadership and industry expertise to help build attribution rules and customize the attribute type and number. We define rules to suit the existing business specifications, focus and intended usage/final product.
Our product classification services include global schemas like UNSPSC and/or any proprietary schema of manufacturer / supplier. We help our clients build a schema to specific domain, tailored to customer needs and provide a mapping/cross walk from any proprietary schema to the global schema.
Normalizes the Item/supplier information including demographics of the supplier and parent-child relationship; maps the normalized data to the master database.