Snapshot generated Nov 10, 2026, 14:25 ET  ·  source: SAM.gov + USAspending live ETL
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Active Combined Synopsis/Solicitation · VETERANS AFFAIRS, DEPARTMENT OF › VETERANS AFFAIRS, DEPARTMENT OF › 241-NETWORK CONTRACT OFFICE 01 (36C241)

7A21--VISN Radiology Artificial Intelligence

Solicitation 36C24126Q0237 · Notice ID 9c438884f4a34629a4ceb0d2d08d6267

General Information

Classification

Notice Type Combined Synopsis/Solicitation
Status Active
Solicitation Number 36C24126Q0237
Notice ID 9c438884f4a34629a4ceb0d2d08d6267
Parent Notice ID 9ca344aa6f4d40e99233ce4ddfbd6d2c
Posted Sep 24, 2026, 2:29 PM ET
Original Posted Jun 4, 2026, 9:29 AM ET
Last Modified Sep 24, 2026, 2:29 PM ET
Response Deadline Jun 22, 2026, 10:00 AM ET (America/New_York)
Response (Actual) Jun 22, 2026, 10:00 AM ET
Original Response Jun 15, 2026, 10:00 AM ET
Archive Date Sep 30, 2026
NAICS
513210 · Software Publishers
PSC
7A21 · IT AND TELECOM - BUSINESS APPLICATION SOFTWARE (PERPETUAL LICENSE SOFTWARE)
7A - IT AND TELECOM - APLLICATIONS
Set-aside Small Business
Total Small Business Set-Aside (FAR 19.5)

Organization

Department VETERANS AFFAIRS, DEPARTMENT OF · 3600
Sub-Agency VETERANS AFFAIRS, DEPARTMENT OF · 3600
Office 241-NETWORK CONTRACT OFFICE 01 (36C241) · 36C241

Point of Contact

Divianna Mathurin
Contract Specialist
primary
914-325-3258

Description

This solicitation has been amended to extend the closing date until 06/22/26. Additionally, a list of questions and clarifications has been added to provide further guidance and information to interested parties. Please review the updated solicitation to ensure you have the most current details. The scope of this solicitation is to procure and implement a Commercial Off The Shelf (COTS) Radiology Artificial Intelligence (AI) software platform for VISN 1 VA New England. The required platform shall utilize advanced AI techniques and Software as a Medical Device (SaMD) delivery models to support radiology workflows across all VISN 1 VA Medical Centers. The solution must integrate seamlessly with the VA Electronic Medical Health Record (EMHR), existing Picture Archive and Communications Systems (PACS), and radiology workflows to enable enhanced disease detection, improved diagnostic accuracy, and increased operational efficienc