Oversight: Advancing VA Care Through Artificial Intelligence

House Subcommittee on Technology Modernization

2025-09-15

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Source: Congress.gov

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the Department of Veterans Affairs and how we can support the VA in closing those gaps through technology.  However, today's review of artificial intelligence use cases at the Veterans Health Administration feels like a distraction.  VA is struggling with the basics.  We are here discussing the newest technologies while VA is still working with a crumbling IT infrastructure and still grapples to modernize systems and workflows.   As a ranking member on the Technology Modernization Subcommittee, I am certainly excited by the potential of both AI and innovation.  AI could improve some of VA's challenges through large language models and higher processing speeds.  We have seen promising studies of providers using AI to identify cancers more easily, improve patient outcomes, and ease clinician burnout by taking on more administrative tasks.   VA has certainly been a leader in the research, development, and widespread usage of a number of significant and groundbreaking technologies, and it stands to do so again with AI.  However, success in these efforts requires adequate resources and investments in its budgets, its processes, and its people.  Veterans choose VA for the community it provides, for the people it employs, and for the fact that it is not driven by profit.   What VA does best is make veterans feel seen and understood.  As we have seen, AI can be a tool to provide decision support, ease provider burdens, and help with note-taking so doctors can be more present with the patient.  But we should also acknowledge that it is not the answer to every challenge the VA faces.  Also, we as a committee and as Congress need to have a real conversation about AI policy and how to implement it safely.   I am excited about the opportunities that AI presents, but I'm not convinced that VA is prepared to deploy this technology just yet.
I have a number of concerns that I hope to address today, like the lack of regulation and governance structures and the need for better transparency around what data is involved in training such models.  Further, like all technology modernization efforts, implementing AI successfully requires a highly skilled   adequately staffed workforce.  Almost two weeks ago, the acting head of the Department on Government Efficiency stressed the need to, quote, hire and empower great tech talent in government, end quote.  I couldn't agree more with that.  However, I think we should all note the irony of that statement, considering OIT is proposing a massive reorganization and intends to cut at least 20% of its workforce.   Success is also reliant on strong IT leadership.  If OIT is in fact undergoing significant changes to its organizational structure, priorities list, and workforce makeup, we need a confirmed chief information officer at VA.  This position is particularly critical as we see the acceleration and progression of modernization efforts at the department.   It seems the VA still lacks a coherent enterprise IT strategy, leaving projects like AI integration to happen in silos.  Without stable and competent leadership, veterans and VA employees will continue to be stuck with cobbled-together systems and workflows that don't meet their needs, rather than a solid strategy for technology usage to guide its decision-making.  I hope that we can get some clarity into the administration's plan   to propose a nominee for the CIO position, and that one can be confirmed before many of these substantial changes occur.  Lastly, I understand the subcommittee held a similar hearing in January of 2024, though neither I nor the Chairman were on the subcommittee at that point.