UNSPSC 85493362: Insertion of intraluminal device into right ventricle, percutaneous approach

This classification denotes the group of activities that yields a surgical intervention or procedure to insertion of intraluminal device into right ventricle, 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 02HK3DZ

UNSPSC 85493362 Insertion of intraluminal device into right ventricle, percutaneous approach is a Commodity code that shows limited alignment between its nominal scope and recent state and local procurement activity. The code's clinical procedure description does not match the opportunities posted under it, which center instead on occupational health surveillance, disability medical evaluations, pharmacy benefit management, surgical procedure carve-out networks, temporary health professional staffing, and emergency medical services for detained youth. The source records reveal no recent solicitations for intraluminal cardiac device insertion or related cardiovascular interventions under this code.

State and local procurement under this code shows sparse recent activity. The Washington State Department of Transportation (Washington State Ferries) posted an RFP for occupational medical surveillance services due October 9, 2026; the City of Phoenix Retirement Office posted an RFP for independent medical evaluation services for disability pension determinations due October 16, 2026; the City of Long Beach posted an RFP for surgical procedure carve-out benefits due October 7, 2026; and the County of Santa Clara Health System posted an RFP for temporary health professional staffing across multiple ancillary clinical categories due October 7, 2026. No current opportunities explicitly solicit the procedure named in the code, indicating either that the UNSPSC classification is incorrectly applied to these records or that the code does not reflect active state and local buying patterns in the source dataset.