Challenges: GHX
is a platform that connects healthcare providers and suppliers so they can
work together electronically. This helps lower costs and simplifies supply chain
management by eliminating error-prone and manual order processes. It is estimated
that the market for medical - surgical products in the US always has a lot of
changes every year. This had increased the pressure on GHX's current system,
which could not update data continuously, creating a lot of item master errors,
affecting operational and financial performance. Not only that, the contract
pricing discrepancies also caused overpayments and lost revenue due to missed
reimbursement. GHX was hoping for a more modern system that would help
them handle all those issues and make their platform a powerful weapon,
effectively supporting suppliers and partners, so they did find LARION. Solutions:LARION came up with NuVia - a
smarter healthcare supply chain data management solution which takes data
management to next level. This is a cloud-based VIM (virtual item master), with
NuVia users can:·
Access to the industry-wide catalog of more
than 800,000 items·
Remove, add in and customize data·
Data is synced, cleaned, and enriched
automatically ·
Maintain multiple data descriptions·
Link HCPCS codes to products·
Incorporate item update and GSDN attributes
into systems·
Insight report of spending, relevance and
consistencyResults:·
Up-to-date product information·
Easily check purchase orders and the sellers·
Lower supply cost through higher contract
utilization·
Increase potential additional revenue through
reimbursement ·
Reduce transaction errors·
Align every supply chain activity with
financial and clinical goals·
Link item master to GDSN attributes, including
Global Trade Item Number (GTIN)·
Great savings up to 87% for 1 client after 12
monthsTechnologies:·
Data Identification & Discernment
utilizing Artificial Intelligent S-O ·
Data Normalization and Standardization
utilizing Objective Text Mining ·
Web Crawling technology ·
Javascript, Ruby & Lisp ·
Database: PostgreSQL, AllegroCache
Project size: 200+
man-month
