This Government Contract opportunity from Department Of Defense was posted on July 24, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.
AI/ML-Driven Data Abstraction & Analytics
Contract Overview
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The contract titled AI/ML-Driven Data Abstraction & Analytics seeks to implement artificial intelligence and machine learning solutions for automating trauma data abstraction, quality assurance, and predictive analytics within a military healthcare context. The primary objective is to enhance the accuracy, consistency, and timeliness of trauma data collection and analysis to directly support improved clinical decision-making and patient outcomes. The work will involve developing and deploying AI models to extract relevant information from unstructured clinical records, validate data integrity through automated quality checks, and generate predictive insights that can anticipate complications or resource needs in trauma care settings. This subcontract is issued by the Defense Health Agency under the Department of Defense with a place of performance in Falls Church, Virginia, 22042. The solicitation was posted on July 24, 2026, and responses are due by August 24, 2026. It fall under NAICS code 541990, which covers other scientific and technical consulting services, indicating the focus is on specialized analytical and technological expertise rather than hardware or general IT infrastructure. The contract aims to modernize trauma data systems through advanced automation, aligning with broader DoD initiatives to leverage data-driven tools for operational readiness and healthcare efficiency.
General Info
Agency
NAICS
Place of Performance
Falls Church, VA, 22042, USASet-Aside
Documents
This scope was carved out of HT942726QJBS3.
The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.
Presolicitation Notice - Decontamination, Pre/Post-cleaning and Cagewash Tanks installation
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Timeline
Submission Closed
Organization & Contact Information
Full Description
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