UNSPSC 85492801: Revision of nonautologous tissue substitute in great vessel, percutaneous approach

This classification denotes the group of activities that yields a surgical intervention or procedure to revision of nonautologous tissue substitute in great vessel, percutaneous approach. This surgical intervention or procedure is listed in the World Health Organization's International Statistical Classification of Diseases and Related Health Problems or ICD-10 as code 02WY3KZ

UNSPSC 85492801 Revision of nonautologous tissue substitute in great vessel, percutaneous approach is a Commodity code that bears little alignment with the state and local opportunities currently posted under it. The recent solicitations tagged to this code encompass occupational health surveillance, independent medical evaluations for pension disability determinations, pharmacy benefit management, surgical procedure carve-out networks, temporary health professional staffing, and specialty medical services for detained youth—none of which involve revision of tissue substitutes or vascular intervention. The mismatch suggests either systematic miscoding in the posting system or that the code's scope has drifted substantially from what state and local jurisdictions are actually buying. The source shows no recent opportunities that genuinely reflect the code's nominal clinical scope.

The issuing bodies across the posted opportunities span state departments (Washington State Department of Transportation, via Ferries), county health systems (Collier County, Santa Clara County, Harris County), municipalities (City of Phoenix, City of Long Beach), and regional bodies (County of Santa Clara Health System). Activity concentrates in California, Washington, Arizona, Florida, and Texas, with no geographic clustering that suggests concentrated demand under this code. Given the absence of relevant opportunities aligned to the Commodity code's stated scope, prospective vendors should treat this code as a poor fit for business development focus until the underlying data quality or classification improves.