Closed Solicitation · DEPARTMENT OF VETERANS AFFAIRS

    AN12--RESEARCH MACHINE LEARNING ANALYTICS FOR SUICIDE PREVENTION SUPPORT

    DEPARTMENT OF VETERANS AFFAIRS
    Sol. 36C24E25R0026Special NoticePITTSBURGH, PA
    Closed
    STATUS
    Closed
    closed Jul 29, 2025
    POSTED
    Jul 23, 2025
    Publication date
    NAICS CODE
    541720
    Primary industry classification
    PSC CODE
    AN12
    Product & service classification

    AI Summary

    The Department of Veterans Affairs intends to negotiate a sole source contract with Oregon Health & Science University for expertise in machine learning analytics related to suicide prevention. This project involves advanced data extraction, analysis, and visualization of critical databases. The unique capabilities of OHSU are essential for the success of this research, and no solicitation will be posted.

    Contract details

    Solicitation No.
    36C24E25R0026
    Notice Type
    Special Notice
    Posted Date
    July 23, 2025
    Response Deadline
    July 29, 2025
    NAICS Code
    541720AI guide
    PSC / Class Code
    AN12
    Issuing Office
    RPO EAST (36C24E)
    Primary Contact
    Ann Marie Stewart
    State
    PA
    ZIP Code
    15212
    AI Product/Service
    service

    Description

    Pre-Solicitation Notice for notice of intent to award a sole source contract. This is not a solicitation. The Department of Veterans Affairs intends to negotiate a sole source contract for a two (2) year period with the Oregon Health & Science University (OHSU), 3181 SW Sam Jackson Park Rd, Portland, OR 97239 to provide expertise in high level data extraction and advanced quantitative analysis of suicide prevention clinical trial data. The data integration is to improve the efficiency and accuracy of data extraction, cleaning, harmonization, visualization, and synthesis for two major VA suicide prevention databases, the Suicide Prevention Trials Database and the Veterans Crisis Line data sources. Sufficient expertise is needed in all required services to include planning and preparation, establishing procedures, data extraction (cleaning, harmonization, and analysis of suicide prevention databases), developing training materials, implementing analyses and machine learning (ML) / large language modeling (LLM) methods for data automation and visualization, and disseminate results. This demonstration project relies on machine learning expertise from the Center for AI-enabled Learning Health Science (CAILHS) to generate meta-datasets, procedures, data visualizations, and training materials FboNoticeed in learning health science. The newly established Center for AI-enabled Learning Health Science is the only center in Oregon that has the capacity to conduct this work. The inability to use the unique services that only CAILHS at OHSU can provide would be detrimental in terms of cost and ability to perform the suicide prevention research. OHSU is the primary academic affiliate of the VA Portland Healthcare System. 38 U.S.C. 8153 allows for sole source awards related to research with VA academic affiliates. Since the intent is to procure this on a sole source basis, no solicitation will be posted to Contract Opportunities on SAM.gov. The applicable NAICS code is 541720 with a $28 MIL size standard. The PSC is AN12. The authority for this action is FAR 6.302.5 Authorized or Required by Statute. Interested persons may contact the Contracting Officer via email at annmarie.stewart@va.gov regarding this procurement. The determination to conduct a competitive procurement based on responses to this notice is solely within the discretion of the Contracting Officer.

    Key dates

    1. July 23, 2025Posted Date
    2. July 29, 2025Proposals / Responses Due

    AI search tags

    Frequently asked questions

    AN12--RESEARCH MACHINE LEARNING ANALYTICS FOR SUICIDE PREVENTION SUPPORT is a federal acquisition solicitation issued by DEPARTMENT OF VETERANS AFFAIRS. Review the full description, attachments, and submission requirements on SamSearch before the response deadline.

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