6530--RADIOLOGY AI SOFTWARE
ID: 36C26225Q0427Type: Sources Sought
Overview

Buyer

VETERANS AFFAIRS, DEPARTMENT OFVETERANS AFFAIRS, DEPARTMENT OF262-NETWORK CONTRACT OFFICE 22 (36C262)Gilbert, AZ, 85297, USA

NAICS

Software Publishers (513210)

PSC

HOSPITAL FURNITURE, EQUIPMENT, UTENSILS, AND SUPPLIES (6530)

Original Source

https://sam.gov/opp/eb62693dcb6841408eb0f7fcf7d9099f/view
Timeline
    Description

    The Department of Veterans Affairs (VA) is seeking qualified suppliers for a Commercial Off-the-Shelf (COTS) Radiology AI Software that will enhance healthcare delivery for veterans by integrating with the VA’s Electronic Medical Health Record (EMHR). The software must utilize AI capabilities for various diagnostic applications, including bone fracture detection, neuroimaging support, and breast cancer screening, while ensuring compliance with VA security directives and providing quality assurance functionalities. This initiative is crucial for improving operational efficiency within Radiology Services and ultimately enhancing patient care for veterans. Interested vendors are encouraged to submit their qualifications, business status, and general pricing by February 17, 2024, to the Contracting Officer, Anette Doan, at Anette.Doan@va.gov.

    Point(s) of Contact
    Anette DoanContracting Officer
    (562) 766-2200
    Anette.Doan@va.gov
    Files
    Title
    Posted
    36C26225Q0427_1.docx
    The Department of Veterans Affairs (VA) has issued a Sources Sought Notice to identify potential suppliers for a Commercial Off-the-Shelf (COTS) Radiology AI Software that integrates with the VA’s Electronic Medical Health Record (EMHR). The software must enhance healthcare delivery for veterans by utilizing AI capabilities within Radiology Services. This pre-solicitation request is aimed at gathering information about qualified sources and is not a solicitation itself. Key features sought include FDA-approved software for various diagnostic applications such as bone fracture detection, neuroimaging support, and breast cancer screening. The AI platform should be capable of operating on VA-approved infrastructure, ensuring compliance with security directives, and providing quality assurance functionalities. Interested vendors are asked to submit their qualifications and business status, alongside general pricing and capabilities, by February 17, 2024. Responses will inform future acquisition decisions for the VA's radiological services, reinforcing their commitment to improving veteran healthcare through advanced technology.
    Lifecycle
    Title
    Type
    6530--RADIOLOGY AI SOFTWARE
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