AGFA Scheduling & Protocoling Software
Contract Overview
Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.
AI Contract Overview
The contract awarded by the Department of Veterans Affairs to AGFA Healthcare Corporation under solicitation number 36C24726Q0152 provides the RHJVAMC Radiology department with specialized protocoling and scheduling software. This solution is intended to replace the existing manual process, which involves printed orders being hand-delivered between modalities and scheduling areas, a system prone to errors and delays due to its reliance on printers and human handling. By implementing this software, the Radiology department aims to enhance operational efficiency by reducing patient wait times, minimizing order errors, enabling real-time tracking, and improving clinical communication across multiple locations. This contract is a Total Small Business Set-Aside under FAR 19.5, with the Department of Veterans Affairs' 247-NETWORK Contract Office 7 overseeing the award. The place of performance is in South Carolina, and the primary point of contact is Earnest Ellison. Initially announced through a Notice of Intent to Sole Source, the contract reflects the government's intent to procure this software directly from AGFA without competitive bidding, following relevant federal acquisition regulations. The software is expected to significantly modernize the order protocoling and scheduling workflow within the Radiology department, thereby increasing service reliability and patient care effectiveness.
General Info
Contract Value
$362,705.71Place of Performance
SC, 29401, USASet-Aside
Awardee
AGFA HEALTHCARE CORPORATIONAward Issued Date
Timeline
Organization & Contact Information
Full Description
This contract will provide the RHJVAMC Radiology department with protocoling and scheduling software to streamline and improve efficiency of completing orders, so that documented results are easily accessible by Radiology staff from multiple locations. Currently, orders are being printed manually, then hand carried to the particular modality for protocoling, then hand carried again to an MSA for scheduling. The present system heavily relies on a functioning printer and is at a high risk for human error, which eventually leads to delayed or incomplete orders. A robust protocoling and scheduling software must be implemented in order to reduce patient wait times, decrease errors, enable tracking, and optimize clinical communication.
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