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This Government Contract opportunity from Department Of Veterans Affairs was posted on June 4, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Data Analytics & Clinical Reporting Add-On Services

Closed
Federal

Contract Overview

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This contract involves providing advanced analytics services on EEG data to support the generation of clinical reports, seizure burden metrics, and summaries of patient outcomes. The work may incorporate AI-driven pattern recognition and integration with research databases to enhance the accuracy and usefulness of the clinical insights provided. It is a subcontract opportunity related to data analytics and clinical reporting add-on services under NAICS code 541611. Issued by the Department of Veterans Affairs through the 250-NETWORK Contract Office 10, the contract was posted on June 4, 2026, with a response deadline of June 12, 2026. Specific details about the location of performance and points of contact are not provided, but the focus is on leveraging advanced data analytics to support improved clinical decision-making and patient care outcomes within the VA healthcare system.

General Info

Provide AI-driven EEG data analytics for clinical reports and seizure metrics under VA subcontract.

Agency

Department Of Veterans Affairs → 250-NETWORK Contract Office 10 (36C250)

NAICS

541611 - Administrative Management and General Management Consulting Services View NAICS

Place of Performance

OH

Set-Aside

NONE

Documents

(0)

No documents available

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Timeline

PhaseClosed
Posted

subcontract

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyDepartment Of Veterans Affairs → 250-NETWORK Contract Office 10 (36C250)
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of Veterans Affairs → 250-NETWORK Contract Office 10 (36C250)
Office AddressN/A
ContactsNo contact information available

Full Description

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Advanced analytics on EEG data to generate clinical reports, seizure burden metrics, and patient outcome summaries, potentially using AI-driven pattern recognition or research database integration.