UNSPSC 85877359: Computerized tomography (ct scan) of bladder using high osmolar contrast

This classification denotes the group of activities that yields a imaging intervention or procedure to computerized tomography (ct scan) of bladder using high osmolar contrast. This 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 BT200ZZ

UNSPSC 85877359 Computerized tomography (CT scan) of bladder using high osmolar contrast is a Commodity code that does not match the scope of recent state and local opportunities actually being solicited under it. The three most recent opportunities posted to this code involve diagnostic imaging system procurement (a Picture Archiving and Communication System), ultrasound equipment and services, and phlebotomy blood draw services—none of which constitute CT scan procedures or the clinical service delivery the code nominally describes. The mismatch suggests that issuing bodies are tagging imaging and laboratory service contracts to this code incorrectly, rather than that state and local governments are procuring CT scan procedures themselves as a line item.

The recent opportunities span San Mateo County, California; Collier County, Florida; and the City of Albuquerque, New Mexico, representing a mix of county health systems and municipal police departments. San Mateo Medical Center posted an RFP for Diagnostic Imaging PACS implementation (response due August 7, 2026) requiring enterprise-grade radiology, cardiology, and dental imaging system integration with existing EPIC electronic health records; Collier County issued a notice of intent to single source EchoNous ultrasound equipment and software licensing (notice period ended March 26, 2026); and the Albuquerque Police Department issued an RFB for on-call phlebotomy technician services (response due February 25, 2026). The code shows little relevant recent activity aligned with its stated scope and appears to be a taxonomy classification error across multiple jurisdictions rather than active demand for CT imaging procedures at the state and local level.