{"meta":{"name":"The Federal AI Use Case Inventory \u2014 where the US government runs AI, and which rights safeguards it claims to have completed","site":"https://ai-analytics.org","attribution":"AI Analytics \u2014 Voidly accountability datasets (https://ai-analytics.org)","publisher":"US Office of Management and Budget, Office of the Federal CIO","source":"https://github.com/ombegov/2025-Federal-Agency-AI-Use-Case-Inventory","sourceFile":"https://raw.githubusercontent.com/ombegov/2025-Federal-Agency-AI-Use-Case-Inventory/main/Data/2025_individually_reported_AI_use_cases.csv","mandate":"EO 13960 Sec. 5; Advancing American AI Act; OMB M-25-21","licence":"US federal government work, public domain under 17 U.S.C. 105 (by authorship \u2014 the publisher ships no explicit LICENSE file)","generated":"2026-08-20","edition":"2025 consolidated inventory","pii":"Institution-level only. 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The AI solution is preparing and synthesizing notes to be used by the legal teams; it is not preparing a conclusion or draft decision for legal teams.","safeguards":{"hi_testing_conducted":"unstated","hi_assessment_completed":"unstated","hi_independent_review":"unstated","hi_ongoing_monitoring":"unstated","hi_training_established":"unstated","hi_failsafe_presence":"unstated","hi_appeal_process":"unstated","hi_public_consultation":"unstated"},"safeguardsRaw":{"hi_testing_conducted":"","hi_assessment_completed":"","hi_independent_review":"","hi_ongoing_monitoring":"","hi_training_established":"","hi_failsafe_presence":"","hi_appeal_process":"","hi_public_consultation":"[]"}},{"sourceId":"VA-24-2758","key":"VA-3259","agency":"VA","agencyName":"Department of Veterans Affairs","bureau":"OIT: Office of Information & Technology","name":"VA VoiceBot for Call Center Modernization","stage":"Pre-deployment","topic":"IT","highImpact":"High-impact","withheld":false,"hasAto":null,"hasPii":null,"piaUrl":"","vendor":"","contracting":"","operationalDate":"","problem":"The VoiceBot can quickly handle common inquiries, offering Veterans immediate answers and reducing the frustration of long wait times. 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Identify zero-day threats, insider attacks, or lateral movement by compromised devices that are missed by point-in-time tools within the network.\n\nUse these patterns to detect anomalies in real time. When an anomaly (unusual data transfer, unauthorized protocol, lateral movement) is detected Forescout automatically enforces a response policy\u2014such as quarantining the device, notifying SOC security teams, or triggering an orchestration workflow.","safeguards":{"hi_testing_conducted":"unstated","hi_assessment_completed":"unstated","hi_independent_review":"unstated","hi_ongoing_monitoring":"unstated","hi_training_established":"unstated","hi_failsafe_presence":"unstated","hi_appeal_process":"unstated","hi_public_consultation":"unstated"},"safeguardsRaw":{"hi_testing_conducted":"","hi_assessment_completed":"","hi_independent_review":"","hi_ongoing_monitoring":"","hi_training_established":"","hi_failsafe_presence":"","hi_appeal_process":"","hi_public_consultation":"[]"}},{"sourceId":"VA-25-1294","key":"VA-3261","agency":"VA","agencyName":"Department of Veterans Affairs","bureau":"OIT: Office of Information & Technology","name":"VA AI Assist","stage":"Pre-deployment","topic":"Health and Medical","highImpact":"High-impact","withheld":false,"hasAto":null,"hasPii":null,"piaUrl":"","vendor":"","contracting":"","operationalDate":"","problem":"Reviewing information about a patient prior to an upcoming encounter is an important way in which clinicians prepare for an effective visit. 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This will ultimately save time and increase the quality of Veterans' decisions.","safeguards":{"hi_testing_conducted":"unstated","hi_assessment_completed":"unstated","hi_independent_review":"unstated","hi_ongoing_monitoring":"unstated","hi_training_established":"unstated","hi_failsafe_presence":"unstated","hi_appeal_process":"unstated","hi_public_consultation":"unstated"},"safeguardsRaw":{"hi_testing_conducted":"","hi_assessment_completed":"","hi_independent_review":"","hi_ongoing_monitoring":"","hi_training_established":"","hi_failsafe_presence":"","hi_appeal_process":"","hi_public_consultation":"[]"}},{"sourceId":"VA-25-1930","key":"VA-3263","agency":"VA","agencyName":"Department of Veterans Affairs","bureau":"OIT: Office of Information & Technology","name":"Claims Processing Automation Quality Auditor POC","stage":"Pre-deployment","topic":"Benefits Processing","highImpact":"High-impact","withheld":false,"hasAto":null,"hasPii":null,"piaUrl":"","vendor":"","contracting":"","operationalDate":"","problem":"In an automation-driven claims process, this tool will act as an entry point for quality reviews: Perform claims quality audits to identify and request NQA reviews or VCE corrections based on automated claims processing anomalies/errors. 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The AI will reduce the time needed to review the evidence by providing a list of related evidence to th","safeguards":{"hi_testing_conducted":"unstated","hi_assessment_completed":"unstated","hi_independent_review":"unstated","hi_ongoing_monitoring":"unstated","hi_training_established":"unstated","hi_failsafe_presence":"unstated","hi_appeal_process":"unstated","hi_public_consultation":"unstated"},"safeguardsRaw":{"hi_testing_conducted":"","hi_assessment_completed":"","hi_independent_review":"","hi_ongoing_monitoring":"","hi_training_established":"","hi_failsafe_presence":"","hi_appeal_process":"","hi_public_consultation":"[]"}},{"sourceId":"VA-25-4147","key":"VA-3266","agency":"VA","agencyName":"Department of Veterans Affairs","bureau":"OIT: Office of Information & Technology","name":"Benefits Contention Classification Model","stage":"Pre-deployment","topic":"Benefits Processing","highImpact":"High-impact","withheld":false,"hasAto":null,"hasPii":null,"piaUrl":"","vendor":"","contracting":"","operationalDate":"","problem":"The Benefits Contention Classification model is intended to improve the current benefits adjudication process by providing an automated classification for all benefits claims contentions. The model will do this by providing a classification for each contention that is not currently covered by the existing process. This is intended to make the overall benefits adjudication process more efficient by reducing the necessary time for VA rating representatives to choose the appropriate disability questionnaire for the the given contention.","safeguards":{"hi_testing_conducted":"unstated","hi_assessment_completed":"unstated","hi_independent_review":"unstated","hi_ongoing_monitoring":"unstated","hi_training_established":"unstated","hi_failsafe_presence":"unstated","hi_appeal_process":"unstated","hi_public_consultation":"unstated"},"safeguardsRaw":{"hi_testing_conducted":"","hi_assessment_completed":"","hi_independent_review":"","hi_ongoing_monitoring":"","hi_training_established":"","hi_failsafe_presence":"","hi_appeal_process":"","hi_public_consultation":"[]"}},{"sourceId":"VA-25-4465","key":"VA-3267","agency":"VA","agencyName":"Department of Veterans Affairs","bureau":"OIT: Office of Information & Technology","name":"Limited Payability Letter Automation","stage":"Pre-deployment","topic":"Benefits Processing","highImpact":"High-impact","withheld":false,"hasAto":null,"hasPii":null,"piaUrl":"","vendor":"","contracting":"","operationalDate":"","problem":"The re-issuance of a benefits payment following Limited Payability currently relies on manual steps that take an undetermined amount of time. 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The burden currently rests with Veterans to classify/label their documents on VA.gov after manually uploading them. As a result:\n- Veterans face confusing submission experiences\n- Veterans overuse the \"other/correspondence\" document label\n- Veteran Service Representatives (VSRs) waste time opening mislabeled files in the Veterans Benefits Management System (VBMS) eFolder\n- Automa","safeguards":{"hi_testing_conducted":"unstated","hi_assessment_completed":"unstated","hi_independent_review":"unstated","hi_ongoing_monitoring":"unstated","hi_training_established":"unstated","hi_failsafe_presence":"unstated","hi_appeal_process":"unstated","hi_public_consultation":"unstated"},"safeguardsRaw":{"hi_testing_conducted":"","hi_assessment_completed":"","hi_independent_review":"","hi_ongoing_monitoring":"","hi_training_established":"","hi_failsafe_presence":"","hi_appeal_process":"","hi_public_consultation":"[]"}},{"sourceId":"VA-25-5269","key":"VA-3269","agency":"VA","agencyName":"Department of Veterans Affairs","bureau":"OIT: Office of Information & Technology","name":"Paid & Due Auto Calculation","stage":"Pre-deployment","topic":"Benefits Processing","highImpact":"High-impact","withheld":false,"hasAto":null,"hasPii":null,"piaUrl":"","vendor":"","contracting":"","operationalDate":"","problem":"The Paid & Due Audit calculation is currently a manual process that is both complicated and time consuming. 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documentation","safeguards":{"hi_testing_conducted":"unstated","hi_assessment_completed":"unstated","hi_independent_review":"unstated","hi_ongoing_monitoring":"unstated","hi_training_established":"unstated","hi_failsafe_presence":"unstated","hi_appeal_process":"unstated","hi_public_consultation":"unstated"},"safeguardsRaw":{"hi_testing_conducted":"","hi_assessment_completed":"","hi_independent_review":"","hi_ongoing_monitoring":"","hi_training_established":"","hi_failsafe_presence":"","hi_appeal_process":"","hi_public_consultation":"[]"}},{"sourceId":"VA-25-6426","key":"VA-3292","agency":"VA","agencyName":"Department of Veterans Affairs","bureau":"OIT: Office of Information & Technology","name":"Knowtex Ambient Scribe","stage":"Pilot","topic":"Health and Medical","highImpact":"High-impact","withheld":false,"hasAto":null,"hasPii":null,"piaUrl":"","vendor":"","contracting":"Vendor Purchased","operationalDate":"","problem":"This solution intends to reduce clinician burnout and improve 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mitigate risks from unauthorized data access, exfiltration, and misuse of sensitive information, including PHI/PII in cloud applications and network traffic. It addresses gaps in visibility, compliance enforcement, and threat detection across a hybrid work environment.","safeguards":{"hi_testing_conducted":"unstated","hi_assessment_completed":"unstated","hi_independent_review":"unstated","hi_ongoing_monitoring":"unstated","hi_training_established":"unstated","hi_failsafe_presence":"unstated","hi_appeal_process":"unstated","hi_public_consultation":"unstated"},"safeguardsRaw":{"hi_testing_conducted":"","hi_assessment_completed":"","hi_independent_review":"","hi_ongoing_monitoring":"","hi_training_established":"","hi_failsafe_presence":"","hi_appeal_process":"","hi_public_consultation":"[]"}},{"sourceId":"VA-24-2430","key":"VA-3298","agency":"VA","agencyName":"Department of Veterans Affairs","bureau":"OIT: Office of Information & Technology","name":"TERA Memorandum Automation","stage":"Deployed","topic":"Benefits Processing","highImpact":"High-impact","withheld":false,"hasAto":null,"hasPii":null,"piaUrl":"","vendor":"","contracting":"Contracting and In House","operationalDate":"","problem":"The Toxic Exposure Risk Activity (TERA) Memo automation is intended to reduce the time that users spend manually researching and submitting answers for the TERA memo which is a required form.","safeguards":{"hi_testing_conducted":"unstated","hi_assessment_completed":"unstated","hi_independent_review":"unstated","hi_ongoing_monitoring":"unstated","hi_training_established":"unstated","hi_failsafe_presence":"unstated","hi_appeal_process":"unstated","hi_public_consultation":"unstated"},"safeguardsRaw":{"hi_testing_conducted":"","hi_assessment_completed":"","hi_independent_review":"","hi_ongoing_monitoring":"","hi_training_established":"","hi_failsafe_presence":"","hi_appeal_process":"","hi_public_consultation":"[]"}},{"sourceId":"VA-24-2717","key":"VA-3299","agency":"VA","agencyName":"Department of Veterans Affairs","bureau":"OIT: Office of Information & Technology","name":"VA.gov Chatbot: Summative Content","stage":"Deployed","topic":"IT","highImpact":"High-impact","withheld":false,"hasAto":null,"hasPii":null,"piaUrl":"","vendor":"","contracting":"Contracting and In House","operationalDate":"","problem":"AI can provide around-the-clock support without long wait times, allowing our human call center agents to help individuals with more complex concerns.\u00a0The virtual agent will allow veterans to self-serve, ask questions at their own pace, complete tasks, and find answers and information more easily.","safeguards":{"hi_testing_conducted":"unstated","hi_assessment_completed":"unstated","hi_independent_review":"unstated","hi_ongoing_monitoring":"unstated","hi_training_established":"unstated","hi_failsafe_presence":"unstated","hi_appeal_process":"unstated","hi_public_consultation":"unstated"},"safeguardsRaw":{"hi_testing_conducted":"","hi_assessment_completed":"","hi_independent_review":"","hi_ongoing_monitoring":"","hi_training_established":"","hi_failsafe_presence":"","hi_appeal_process":"","hi_public_consultation":"[]"}},{"sourceId":"VA-25-2537","key":"VA-3300","agency":"VA","agencyName":"Department of Veterans Affairs","bureau":"OIT: Office of Information & Technology","name":"Heuristic Behavior Analytics","stage":"Deployed","topic":"Cybersecurity","highImpact":"High-impact","withheld":false,"hasAto":null,"hasPii":null,"piaUrl":"","vendor":"","contracting":"Vendor Purchased","operationalDate":"","problem":"Identify anomalous behaviors from established baselines for VA Accounts and Hosts. 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This project harnesses the power of artificial intelligence to analyze vast amounts of data, providing personalized recommendations and streamlined access to a wide array of veteran benefits. Through the use of AI, this product will provide additional information to veterans based on service information. We will suggest benefits with the goal of supporting the application process in the future.","safeguards":{"hi_testing_conducted":"unstated","hi_assessment_completed":"unstated","hi_independent_review":"unstated","hi_ongoing_monitoring":"unstated","hi_training_established":"unstated","hi_failsafe_presence":"unstated","hi_appeal_process":"unstated","hi_public_consultation":"unstated"},"safeguardsRaw":{"hi_testing_conducted":"","hi_assessment_completed":"","hi_independent_review":"","hi_ongoing_monitoring":"","hi_training_established":"","hi_failsafe_presence":"","hi_appeal_process":"","hi_public_consultation":"[]"}},{"sourceId":"VA-25-3573","key":"VA-3387","agency":"VA","agencyName":"Department of Veterans Affairs","bureau":"VHA: Veterans Health Administration","name":"Claims Adjudication and Financial Decision-Making","stage":"Pre-deployment","topic":"Procurement and Finance Mgmt","highImpact":"High-impact","withheld":false,"hasAto":null,"hasPii":null,"piaUrl":"","vendor":"","contracting":"","operationalDate":"","problem":"VA staff spend large amounts of time gathering and reviewing information to process payments and recover revenue. This slows down financial decisions and delays service to Veterans and providers. The AI platform brings the necessary data together, highlights key issues, and streamlines next steps so staff can work faster and focus on higher value decisions.","safeguards":{"hi_testing_conducted":"unstated","hi_assessment_completed":"unstated","hi_independent_review":"unstated","hi_ongoing_monitoring":"unstated","hi_training_established":"unstated","hi_failsafe_presence":"unstated","hi_appeal_process":"unstated","hi_public_consultation":"unstated"},"safeguardsRaw":{"hi_testing_conducted":"","hi_assessment_completed":"","hi_independent_review":"","hi_ongoing_monitoring":"","hi_training_established":"","hi_failsafe_presence":"","hi_appeal_process":"","hi_public_consultation":"[]"}},{"sourceId":"VA-25-3617","key":"VA-3388","agency":"VA","agencyName":"Department of Veterans Affairs","bureau":"VHA: Veterans Health Administration","name":"Mindray TE X","stage":"Pre-deployment","topic":"Health and Medical","highImpact":"High-impact","withheld":false,"hasAto":null,"hasPii":null,"piaUrl":"","vendor":"","contracting":"","operationalDate":"","problem":"The TEX20/TEX20 Pro/TEX20S/TEX20T/TEX20 Exp/TEX20 Elite/TEX10/ TEX10 Pro/TEX10S/TEX10T/TEX10 Exp/TEX10 Elite/TE X/TE X Lite Diagnostic Ultrasound System is applicable for adults, pregnant women, pediatric patients and neonates. It is intended for use in Ophthalmic, fetal, abdominal, Intra-operative (abdominal, thoracic, and vascular), Laparoscopic, pediatric, small organ(breast, thyroid, testes), neonatal and adult cephalic, trans_x0002_rectal, trans-vaginal, musculo-skeletal(conventional, superficial), Thoracic/Pleural (For detection of fluid and pleural motion/sliding.), adult and pediatric ","safeguards":{"hi_testing_conducted":"unstated","hi_assessment_completed":"unstated","hi_independent_review":"unstated","hi_ongoing_monitoring":"unstated","hi_training_established":"unstated","hi_failsafe_presence":"unstated","hi_appeal_process":"unstated","hi_public_consultation":"unstated"},"safeguardsRaw":{"hi_testing_conducted":"","hi_assessment_completed":"","hi_independent_review":"","hi_ongoing_monitoring":"","hi_training_established":"","hi_failsafe_presence":"","hi_appeal_process":"","hi_public_consultation":"[]"}},{"sourceId":"VA-25-3732","key":"VA-3389","agency":"VA","agencyName":"Department of Veterans Affairs","bureau":"VHA: Veterans Health Administration","name":"Modeling to Learn (MTL)","stage":"Pre-deployment","topic":"Service Delivery","highImpact":"High-impact","withheld":false,"hasAto":null,"hasPii":null,"piaUrl":"","vendor":"","contracting":"","operationalDate":"","problem":"Modeling to Learn is designed to address the limited start, flow, and dose of evidence-based psychotherapy and evidence-based pharmacotherapy for Post Traumatic Stress Disorder (PTSD), depression, alcohol use disorder and opioid use disorders.","safeguards":{"hi_testing_conducted":"unstated","hi_assessment_completed":"unstated","hi_independent_review":"unstated","hi_ongoing_monitoring":"unstated","hi_training_established":"unstated","hi_failsafe_presence":"unstated","hi_appeal_process":"unstated","hi_public_consultation":"unstated"},"safeguardsRaw":{"hi_testing_conducted":"","hi_assessment_completed":"","hi_independent_review":"","hi_ongoing_monitoring":"","hi_training_established":"","hi_failsafe_presence":"","hi_appeal_process":"","hi_public_consultation":"[]"}},{"sourceId":"VA-25-3829","key":"VA-3390","agency":"VA","agencyName":"Department of Veterans Affairs","bureau":"VHA: Veterans Health Administration","name":"Nursing Career Path Tool","stage":"Pre-deployment","topic":"HR","highImpact":"High-impact","withheld":false,"hasAto":null,"hasPii":null,"piaUrl":"","vendor":"","contracting":"","operationalDate":"","problem":"It will solve several critical leadership challenges within the VA system, including:\n- Identification of leadership potential\n- Workforce optimization\n- Centralized training and development resources properly matched with different levels of leadership stages\n- Support for leadership talent identification (qualified leaders to assume detail position)\n- Enhanced veteran centric care and operational efficiency \n- Cost-efficiency (recruitment, retention)\n\nThe tool aims to systematically review staff qualifications, identify leadership levels, collate VA-wide resources, and assist leadership in t","safeguards":{"hi_testing_conducted":"unstated","hi_assessment_completed":"unstated","hi_independent_review":"unstated","hi_ongoing_monitoring":"unstated","hi_training_established":"unstated","hi_failsafe_presence":"unstated","hi_appeal_process":"unstated","hi_public_consultation":"unstated"},"safeguardsRaw":{"hi_testing_conducted":"","hi_assessment_completed":"","hi_independent_review":"","hi_ongoing_monitoring":"","hi_training_established":"","hi_failsafe_presence":"","hi_appeal_process":"","hi_public_consultation":"[]"}},{"sourceId":"VA-25-4412","key":"VA-3391","agency":"VA","agencyName":"Department of Veterans Affairs","bureau":"VHA: Veterans Health Administration","name":"Veteran Rehabilitation Services","stage":"Pre-deployment","topic":"Health and Medical","highImpact":"High-impact","withheld":false,"hasAto":null,"hasPii":null,"piaUrl":"","vendor":"","contracting":"","operationalDate":"","problem":"Make the connection of veterans to rehabilitation services streamlined and more efficient. Gather information over multiple platforms and create a timeline of service to better inform care and delineate access to additional services.","safeguards":{"hi_testing_conducted":"unstated","hi_assessment_completed":"unstated","hi_independent_review":"unstated","hi_ongoing_monitoring":"unstated","hi_training_established":"unstated","hi_failsafe_presence":"unstated","hi_appeal_process":"unstated","hi_public_consultation":"unstated"},"safeguardsRaw":{"hi_testing_conducted":"","hi_assessment_completed":"","hi_independent_review":"","hi_ongoing_monitoring":"","hi_training_established":"","hi_failsafe_presence":"","hi_appeal_process":"","hi_public_consultation":"[]"}},{"sourceId":"VA-25-4632","key":"VA-3392","agency":"VA","agencyName":"Department of Veterans Affairs","bureau":"VHA: Veterans Health Administration","name":"Freed AI Medical Scribe","stage":"Pre-deployment","topic":"Health and Medical","highImpact":"High-impact","withheld":false,"hasAto":null,"hasPii":null,"piaUrl":"","vendor":"","contracting":"","operationalDate":"","problem":"Increase efficiency of our Primary Care providers. The AI scribe records the Veteran and provider conversation during an exam - it eliminates unnecessary parts of the exam conversation and provides a written report for the provider to edit and copy into the Veterans chart. The AI does not make a diagnosis, it just provides the written summary that the provider uses to complete their encounter and note.","safeguards":{"hi_testing_conducted":"unstated","hi_assessment_completed":"unstated","hi_independent_review":"unstated","hi_ongoing_monitoring":"unstated","hi_training_established":"unstated","hi_failsafe_presence":"unstated","hi_appeal_process":"unstated","hi_public_consultation":"unstated"},"safeguardsRaw":{"hi_testing_conducted":"","hi_assessment_completed":"","hi_independent_review":"","hi_ongoing_monitoring":"","hi_training_established":"","hi_failsafe_presence":"","hi_appeal_process":"","hi_public_consultation":"[]"}},{"sourceId":"VA-25-4714","key":"VA-3393","agency":"VA","agencyName":"Department of Veterans Affairs","bureau":"VHA: Veterans Health Administration","name":"Improve Care for Opioid Use Disorder","stage":"Pre-deployment","topic":"Health and Medical","highImpact":"High-impact","withheld":false,"hasAto":null,"hasPii":null,"piaUrl":"","vendor":"","contracting":"","operationalDate":"","problem":"It is designed to improve treatment retention among veterans receiving medication treatment for opioid use disorder.","safeguards":{"hi_testing_conducted":"unstated","hi_assessment_completed":"unstated","hi_independent_review":"unstated","hi_ongoing_monitoring":"unstated","hi_training_established":"unstated","hi_failsafe_presence":"unstated","hi_appeal_process":"unstated","hi_public_consultation":"unstated"},"safeguardsRaw":{"hi_testing_conducted":"","hi_assessment_completed":"","hi_independent_review":"","hi_ongoing_monitoring":"","hi_training_established":"","hi_failsafe_presence":"","hi_appeal_process":"","hi_public_consultation":"[]"}},{"sourceId":"VA-25-4942","key":"VA-3394","agency":"VA","agencyName":"Department of Veterans Affairs","bureau":"VHA: Veterans Health Administration","name":"Venous Care Pathway Improvement","stage":"Pre-deployment","topic":"Health and Medical","highImpact":"High-impact","withheld":false,"hasAto":null,"hasPii":null,"piaUrl":"","vendor":"","contracting":"","operationalDate":"","problem":"Care pathways for venous diseases (e.g. deep vein thrombosis, pulmonary embolism, post thrombotic syndrome, superficial venous insufficiency, phlebolymphedema, and venous leg ulceration) are inconsistent and inefficient, leading to poor clinical outcomes and losing economic value statements for health payers and providers. Impact Health will work directly with VHA employees to standardize care protocols for selected venous diseases and implement a digital platform for Veterans, care providers, and hospital executives to support and view results of the improved protocol.","safeguards":{"hi_testing_conducted":"unstated","hi_assessment_completed":"unstated","hi_independent_review":"unstated","hi_ongoing_monitoring":"unstated","hi_training_established":"unstated","hi_failsafe_presence":"unstated","hi_appeal_process":"unstated","hi_public_consultation":"unstated"},"safeguardsRaw":{"hi_testing_conducted":"","hi_assessment_completed":"","hi_independent_review":"","hi_ongoing_monitoring":"","hi_training_established":"","hi_failsafe_presence":"","hi_appeal_process":"","hi_public_consultation":"[]"}},{"sourceId":"VA-25-4951","key":"VA-3395","agency":"VA","agencyName":"Department of Veterans Affairs","bureau":"VHA: Veterans Health Administration","name":"Clinical Trial Matching","stage":"Pre-deployment","topic":"Health and Medical","highImpact":"High-impact","withheld":false,"hasAto":null,"hasPii":null,"piaUrl":"","vendor":"","contracting":"","operationalDate":"","problem":"The trial matching rate at the VA is very low. Many patients aren't aware of the possible trial opportunities. National Oncology Program has clinical trial coordinator manually reviewing patients' information and trial information to decide which trials are potential matches for the patients that are interested. This process is very time consuming, usually takes over an hour per patient. We intend to use AI to speed up the process and recommend potential trials, so that the trial coordinator is able to help more patients with the same amount of time. The tool will match patients with clinical ","safeguards":{"hi_testing_conducted":"unstated","hi_assessment_completed":"unstated","hi_independent_review":"unstated","hi_ongoing_monitoring":"unstated","hi_training_established":"unstated","hi_failsafe_presence":"unstated","hi_appeal_process":"unstated","hi_public_consultation":"unstated"},"safeguardsRaw":{"hi_testing_conducted":"","hi_assessment_completed":"","hi_independent_review":"","hi_ongoing_monitoring":"","hi_training_established":"","hi_failsafe_presence":"","hi_appeal_process":"","hi_public_consultation":"[]"}},{"sourceId":"VA-25-5124","key":"VA-3396","agency":"VA","agencyName":"Department of Veterans Affairs","bureau":"VHA: Veterans Health Administration","name":"ML Model for medication prediction","stage":"Pre-deployment","topic":"Health and Medical","highImpact":"High-impact","withheld":false,"hasAto":null,"hasPii":null,"piaUrl":"","vendor":"","contracting":"","operationalDate":"","problem":"Pharmacy inventory management","safeguards":{"hi_testing_conducted":"unstated","hi_assessment_completed":"unstated","hi_independent_review":"unstated","hi_ongoing_monitoring":"unstated","hi_training_established":"unstated","hi_failsafe_presence":"unstated","hi_appeal_process":"unstated","hi_public_consultation":"unstated"},"safeguardsRaw":{"hi_testing_conducted":"","hi_assessment_completed":"","hi_independent_review":"","hi_ongoing_monitoring":"","hi_training_established":"","hi_failsafe_presence":"","hi_appeal_process":"","hi_public_consultation":"[]"}},{"sourceId":"VA-25-5182","key":"VA-3397","agency":"VA","agencyName":"Department of Veterans Affairs","bureau":"VHA: Veterans Health Administration","name":"Leveraging Acoustic-Linguistic Analytics and Social Determinants to Enhance Suicide Prevention Efforts in Veterans Crisis Line Interventions","stage":"Pre-deployment","topic":"Health and Medical","highImpact":"High-impact","withheld":false,"hasAto":null,"hasPii":null,"piaUrl":"","vendor":"","contracting":"","operationalDate":"","problem":"This project leverages machine learning (ML) and data analytics to enhance suicide prevention efforts by improving risk prediction, crisis intervention effectiveness, and understanding of social and environmental factors influencing Veteran suicide risk. It will develop a data processing pipeline to extract and analyze VCL call data directly from call audio recordings, enabling multimodal ML models that integrate linguistic, acoustic, and contextual features to identify imminent suicide risk. Additionally, it will evaluate crisis intervention effectiveness and link VCL call data with external ","safeguards":{"hi_testing_conducted":"unstated","hi_assessment_completed":"unstated","hi_independent_review":"unstated","hi_ongoing_monitoring":"unstated","hi_training_established":"unstated","hi_failsafe_presence":"unstated","hi_appeal_process":"unstated","hi_public_consultation":"unstated"},"safeguardsRaw":{"hi_testing_conducted":"","hi_assessment_completed":"","hi_independent_review":"","hi_ongoing_monitoring":"","hi_training_established":"","hi_failsafe_presence":"","hi_appeal_process":"","hi_public_consultation":"[]"}},{"sourceId":"VA-25-5693","key":"VA-3398","agency":"VA","agencyName":"Department of Veterans Affairs","bureau":"VHA: Veterans Health Administration","name":"VAHC CRM- Veteran Self-Service","stage":"Pre-deployment","topic":"Admin Functions","highImpact":"High-impact","withheld":false,"hasAto":null,"hasPii":null,"piaUrl":"","vendor":"","contracting":"","operationalDate":"","problem":"The Clinical Contact Center (CCC) receives 45 million calls per year. At this time the CCC has a queue abandonment rate of 9.4% which is significantly higher than the national average for contact centers. AI reduce the number of abandoned calls.","safeguards":{"hi_testing_conducted":"unstated","hi_assessment_completed":"unstated","hi_independent_review":"unstated","hi_ongoing_monitoring":"unstated","hi_training_established":"unstated","hi_failsafe_presence":"unstated","hi_appeal_process":"unstated","hi_public_consultation":"unstated"},"safeguardsRaw":{"hi_testing_conducted":"","hi_assessment_completed":"","hi_independent_review":"","hi_ongoing_monitoring":"","hi_training_established":"","hi_failsafe_presence":"","hi_appeal_process":"","hi_public_consultation":"[]"}},{"sourceId":"VA-25-5821","key":"VA-3399","agency":"VA","agencyName":"Department of Veterans Affairs","bureau":"VHA: Veterans Health Administration","name":"Evidence, Policy, and Implementation Center (EPIC) QUERI","stage":"Pre-deployment","topic":"Health and Medical","highImpact":"High-impact","withheld":false,"hasAto":null,"hasPii":null,"piaUrl":"","vendor":"","contracting":"","operationalDate":"","problem":"Provider burnout due to medical documentation burden, which can put Veteran care at risk if unaddressed.","safeguards":{"hi_testing_conducted":"unstated","hi_assessment_completed":"unstated","hi_independent_review":"unstated","hi_ongoing_monitoring":"unstated","hi_training_established":"unstated","hi_failsafe_presence":"unstated","hi_appeal_process":"unstated","hi_public_consultation":"unstated"},"safeguardsRaw":{"hi_testing_conducted":"","hi_assessment_completed":"","hi_independent_review":"","hi_ongoing_monitoring":"","hi_training_established":"","hi_failsafe_presence":"","hi_appeal_process":"","hi_public_consultation":"[]"}},{"sourceId":"VA-25-5944","key":"VA-3400","agency":"VA","agencyName":"Department of Veterans Affairs","bureau":"VHA: Veterans Health Administration","name":"PowerScribe One","stage":"Pre-deployment","topic":"Health and Medical","highImpact":"High-impact","withheld":false,"hasAto":null,"hasPii":null,"piaUrl":"","vendor":"","contracting":"","operationalDate":"","problem":"It enhances existing radiology dictation and report creation software by providing AI findings and narrative text that help automate and augment reporting. Machine learning and advanced language understanding technologies derive meaning from the data to drive workflows, meaning less work for the radiologist and more consumable, meaningful reports to inform care decisions.","safeguards":{"hi_testing_conducted":"unstated","hi_assessment_completed":"unstated","hi_independent_review":"unstated","hi_ongoing_monitoring":"unstated","hi_training_established":"unstated","hi_failsafe_presence":"unstated","hi_appeal_process":"unstated","hi_public_consultation":"unstated"},"safeguardsRaw":{"hi_testing_conducted":"","hi_assessment_completed":"","hi_independent_review":"","hi_ongoing_monitoring":"","hi_training_established":"","hi_failsafe_presence":"","hi_appeal_process":"","hi_public_consultation":"[]"}},{"sourceId":"VA-25-6055","key":"VA-3401","agency":"VA","agencyName":"Department of Veterans Affairs","bureau":"VHA: Veterans Health Administration","name":"Community Care Clinical Documents","stage":"Pre-deployment","topic":"Health and Medical","highImpact":"High-impact","withheld":false,"hasAto":null,"hasPii":null,"piaUrl":"","vendor":"","contracting":"","operationalDate":"","problem":"Thousands of Veterans receive care in the community in both unscheduled urgent/acute care settings and scheduled care settings. Following these encounters, VA must receive clinical documentation describing the encounter and address follow-up care needs. The current process for this is manual, inefficient, and not always effective at timely documentation retrieval. This results in delayed care for Veterans and duplication of services.","safeguards":{"hi_testing_conducted":"unstated","hi_assessment_completed":"unstated","hi_independent_review":"unstated","hi_ongoing_monitoring":"unstated","hi_training_established":"unstated","hi_failsafe_presence":"unstated","hi_appeal_process":"unstated","hi_public_consultation":"unstated"},"safeguardsRaw":{"hi_testing_conducted":"","hi_assessment_completed":"","hi_independent_review":"","hi_ongoing_monitoring":"","hi_training_established":"","hi_failsafe_presence":"","hi_appeal_process":"","hi_public_consultation":"[]"}},{"sourceId":"VA-25-6373","key":"VA-3402","agency":"VA","agencyName":"Department of Veterans Affairs","bureau":"VHA: Veterans Health Administration","name":"Medsafely","stage":"Pre-deployment","topic":"Health and Medical","highImpact":"High-impact","withheld":false,"hasAto":null,"hasPii":null,"piaUrl":"","vendor":"","contracting":"","operationalDate":"","problem":"Reduce the length of time it takes to perform medications reconciliation.","safeguards":{"hi_testing_conducted":"unstated","hi_assessment_completed":"unstated","hi_independent_review":"unstated","hi_ongoing_monitoring":"unstated","hi_training_established":"unstated","hi_failsafe_presence":"unstated","hi_appeal_process":"unstated","hi_public_consultation":"unstated"},"safeguardsRaw":{"hi_testing_conducted":"","hi_assessment_completed":"","hi_independent_review":"","hi_ongoing_monitoring":"","hi_training_established":"","hi_failsafe_presence":"","hi_appeal_process":"","hi_public_consultation":"[]"}},{"sourceId":"VA-25-6638","key":"VA-3403","agency":"VA","agencyName":"Department of Veterans Affairs","bureau":"VHA: Veterans Health Administration","name":"Predict Septic Shock in ICU Patients","stage":"Pre-deployment","topic":"Health and Medical","highImpact":"High-impact","withheld":false,"hasAto":null,"hasPii":null,"piaUrl":"","vendor":"","contracting":"","operationalDate":"","problem":"Reduce ICU mortality and morbidity related to septic shock and respiratory failure. Provide nurses and physicians with the opportunity to intervene earlier in the course of these high mortality, high morbidity conditions.","safeguards":{"hi_testing_conducted":"unstated","hi_assessment_completed":"unstated","hi_independent_review":"unstated","hi_ongoing_monitoring":"unstated","hi_training_established":"unstated","hi_failsafe_presence":"unstated","hi_appeal_process":"unstated","hi_public_consultation":"unstated"},"safeguardsRaw":{"hi_testing_conducted":"","hi_assessment_completed":"","hi_independent_review":"","hi_ongoing_monitoring":"","hi_training_established":"","hi_failsafe_presence":"","hi_appeal_process":"","hi_public_consultation":"[]"}},{"sourceId":"VA-25-6744","key":"VA-3404","agency":"VA","agencyName":"Department of Veterans Affairs","bureau":"VHA: Veterans Health Administration","name":"Romexis Dental Imaging Software","stage":"Pre-deployment","topic":"Health and Medical","highImpact":"High-impact","withheld":false,"hasAto":null,"hasPii":null,"piaUrl":"","vendor":"","contracting":"","operationalDate":"","problem":"Automates process and speeds up dental x-ray reads.","safeguards":{"hi_testing_conducted":"unstated","hi_assessment_completed":"unstated","hi_independent_review":"unstated","hi_ongoing_monitoring":"unstated","hi_training_established":"unstated","hi_failsafe_presence":"unstated","hi_appeal_process":"unstated","hi_public_consultation":"unstated"},"safeguardsRaw":{"hi_testing_conducted":"","hi_assessment_completed":"","hi_independent_review":"","hi_ongoing_monitoring":"","hi_training_established":"","hi_failsafe_presence":"","hi_appeal_process":"","hi_public_consultation":"[]"}},{"sourceId":"VA-25-764","key":"VA-3405","agency":"VA","agencyName":"Department of Veterans Affairs","bureau":"VHA: Veterans Health Administration","name":"EEV/OHI Document Types","stage":"Pre-deployment","topic":"Benefits Processing","highImpact":"High-impact","withheld":false,"hasAto":null,"hasPii":null,"piaUrl":"","vendor":"","contracting":"","operationalDate":"","problem":"Increase the speed and accuracy of identifying document types and routing thereof.","safeguards":{"hi_testing_conducted":"unstated","hi_assessment_completed":"unstated","hi_independent_review":"unstated","hi_ongoing_monitoring":"unstated","hi_training_established":"unstated","hi_failsafe_presence":"unstated","hi_appeal_process":"unstated","hi_public_consultation":"unstated"},"safeguardsRaw":{"hi_testing_conducted":"","hi_assessment_completed":"","hi_independent_review":"","hi_ongoing_monitoring":"","hi_training_established":"","hi_failsafe_presence":"","hi_appeal_process":"","hi_public_consultation":"[]"}},{"sourceId":"VA-25-7910","key":"VA-3406","agency":"VA","agencyName":"Department of Veterans Affairs","bureau":"VHA: Veterans Health Administration","name":"Electronic Mammogram Reporting (eMAMR)","stage":"Pre-deployment","topic":"Health and Medical","highImpact":"High-impact","withheld":false,"hasAto":null,"hasPii":null,"piaUrl":"","vendor":"","contracting":"","operationalDate":"","problem":"Clinical data extraction from diverse and unstructured sources remains a bottleneck for healthcare providers and agencies. For example, providers may need to re-enter the same patient information across different consults, which is inefficient and takes away valuable clinical time. Existing processes are manual, time-consuming, and prone to errors, which leads to delays in integrating critical patient information (such as PDFs and scanned records) into Electronic Health Record (EHR) systems like CPRS/VistA. This limits care coordination, slows decision-making, and increases administrative work","safeguards":{"hi_testing_conducted":"unstated","hi_assessment_completed":"unstated","hi_independent_review":"unstated","hi_ongoing_monitoring":"unstated","hi_training_established":"unstated","hi_failsafe_presence":"unstated","hi_appeal_process":"unstated","hi_public_consultation":"unstated"},"safeguardsRaw":{"hi_testing_conducted":"","hi_assessment_completed":"","hi_independent_review":"","hi_ongoing_monitoring":"","hi_training_established":"","hi_failsafe_presence":"","hi_appeal_process":"","hi_public_consultation":"[]"}},{"sourceId":"VA-24-3898","key":"VA-3433","agency":"VA","agencyName":"Department of Veterans Affairs","bureau":"VHA: Veterans Health Administration","name":"Lung Cancer Prediction Model","stage":"Pilot","topic":"Health and Medical","highImpact":"High-impact","withheld":false,"hasAto":null,"hasPii":null,"piaUrl":"","vendor":"","contracting":"In-house Development","operationalDate":"","problem":"1. Treatment often proves difficult when diagnosed in advanced stages - long term outcomes are significantly improved when detected early. Screening programs are underutilized and definitively lacking in specific populations 2. This includes individuals at highest risk of lung cancer including US veterans. The Dayton VA Medical Center (DVAMC) initiative is intended to aid in detection of suspicious pulmonary nodules, expedite referrals for further evaluation and improve access to timely cancer care. In patients undergoing screening CTs, approx 50% of adults will have at least one lung nodule i","safeguards":{"hi_testing_conducted":"unstated","hi_assessment_completed":"unstated","hi_independent_review":"unstated","hi_ongoing_monitoring":"unstated","hi_training_established":"unstated","hi_failsafe_presence":"unstated","hi_appeal_process":"unstated","hi_public_consultation":"unstated"},"safeguardsRaw":{"hi_testing_conducted":"","hi_assessment_completed":"","hi_independent_review":"","hi_ongoing_monitoring":"","hi_training_established":"","hi_failsafe_presence":"","hi_appeal_process":"","hi_public_consultation":"[]"}},{"sourceId":"VA-24-421","key":"VA-3434","agency":"VA","agencyName":"Department of Veterans Affairs","bureau":"VHA: Veterans Health Administration","name":"Patient Care Services Integration Platform (PCSIP)","stage":"Pilot","topic":"Health and Medical","highImpact":"High-impact","withheld":false,"hasAto":null,"hasPii":null,"piaUrl":"","vendor":"","contracting":"Vendor Purchased","operationalDate":"","problem":"1. Improve patient flow at VAMCs so that 20% more Veterans are provided care with existing staff and resources.\n2. Enable use of FDA approved devices in FISMA compliant manner.\n3. Optimize veteran journey from direct care to community care and back.","safeguards":{"hi_testing_conducted":"unstated","hi_assessment_completed":"unstated","hi_independent_review":"unstated","hi_ongoing_monitoring":"unstated","hi_training_established":"unstated","hi_failsafe_presence":"unstated","hi_appeal_process":"unstated","hi_public_consultation":"unstated"},"safeguardsRaw":{"hi_testing_conducted":"","hi_assessment_completed":"","hi_independent_review":"","hi_ongoing_monitoring":"","hi_training_established":"","hi_failsafe_presence":"","hi_appeal_process":"","hi_public_consultation":"[]"}},{"sourceId":"VA-25-2831","key":"VA-3435","agency":"VA","agencyName":"Department of Veterans Affairs","bureau":"VHA: Veterans Health Administration","name":"CITC Automated Fax Relabeling","stage":"Pilot","topic":"Health and Medical","highImpact":"High-impact","withheld":false,"hasAto":null,"hasPii":null,"piaUrl":"","vendor":"","contracting":"In-house Development","operationalDate":"","problem":"Speed intake of outside medical records. Currently the VA system as a whole gets millions of pages of faxes a day. The subset of these related to care in the community (CITC) contain results of care that the VA itself has paid for in non-VA facilities. As CITC use increases, the burden of processing these faxes (uploading them and making them useful for VA physicians) is increasing. Delays in upload time lead to missing information about non-VA care.","safeguards":{"hi_testing_conducted":"unstated","hi_assessment_completed":"unstated","hi_independent_review":"unstated","hi_ongoing_monitoring":"unstated","hi_training_established":"unstated","hi_failsafe_presence":"unstated","hi_appeal_process":"unstated","hi_public_consultation":"unstated"},"safeguardsRaw":{"hi_testing_conducted":"","hi_assessment_completed":"","hi_independent_review":"","hi_ongoing_monitoring":"","hi_training_established":"","hi_failsafe_presence":"","hi_appeal_process":"","hi_public_consultation":"[]"}},{"sourceId":"VA-25-5375","key":"VA-3436","agency":"VA","agencyName":"Department of Veterans Affairs","bureau":"VHA: Veterans Health Administration","name":"Screen for Esophageal Adenocarcinoma","stage":"Pilot","topic":"Health and Medical","highImpact":"High-impact","withheld":false,"hasAto":null,"hasPii":null,"piaUrl":"","vendor":"","contracting":"In-house Development","operationalDate":"","problem":"Veterans disproportionately have many of the important risk factors for esophageal adenocarcinoma (EAC), and research has demonstrated that Veterans are a substantial gap in the prevention of EAC. 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The addition of the dynamic image processing is identical to the predicate device (K140380).","safeguards":{"hi_testing_conducted":"unstated","hi_assessment_completed":"unstated","hi_independent_review":"unstated","hi_ongoing_monitoring":"unstated","hi_training_established":"unstated","hi_failsafe_presence":"unstated","hi_appeal_process":"unstated","hi_public_consultation":"unstated"},"safeguardsRaw":{"hi_testing_conducted":"","hi_assessment_completed":"","hi_independent_review":"","hi_ongoing_monitoring":"","hi_training_established":"","hi_failsafe_presence":"","hi_appeal_process":"","hi_public_consultation":"[]"}},{"sourceId":"VA-24-1237","key":"VA-3445","agency":"VA","agencyName":"Department of Veterans Affairs","bureau":"VHA: Veterans Health Administration","name":"Beckman Coulter DxH 800","stage":"Deployed","topic":"Health and Medical","highImpact":"High-impact","withheld":false,"hasAto":null,"hasPii":null,"piaUrl":"","vendor":"","contracting":"Vendor Purchased","operationalDate":"","problem":"Generating blood cell measurements. The DxH 800 System provides automated complete blood count, leukocyte differential, nucleated red blood cell (NRBC) enumeration and reticulocyte analysis as well as an automated method for enumeration of the Total Nucleated Cells (TNC) and Red Blood Cells (RBC) in body fluids.","safeguards":{"hi_testing_conducted":"unstated","hi_assessment_completed":"unstated","hi_independent_review":"unstated","hi_ongoing_monitoring":"unstated","hi_training_established":"unstated","hi_failsafe_presence":"unstated","hi_appeal_process":"unstated","hi_public_consultation":"unstated"},"safeguardsRaw":{"hi_testing_conducted":"","hi_assessment_completed":"","hi_independent_review":"","hi_ongoing_monitoring":"","hi_training_established":"","hi_failsafe_presence":"","hi_appeal_process":"","hi_public_consultation":"[]"}},{"sourceId":"VA-24-1397","key":"VA-3446","agency":"VA","agencyName":"Department of Veterans Affairs","bureau":"VHA: Veterans Health Administration","name":"Xeleris V","stage":"Deployed","topic":"Health and Medical","highImpact":"High-impact","withheld":false,"hasAto":null,"hasPii":null,"piaUrl":"","vendor":"","contracting":"Vendor Purchased","operationalDate":"","problem":"Xeleris V AI-enabled clinical applications provide an accurate, efficient, and reproducible way to segment organs. 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The evaluation demonstrated that the provision of colonoscopy Computer Aided Detection devices resulted in a statistically significant 21% increase in the odds of a","safeguards":{"hi_testing_conducted":"unstated","hi_assessment_completed":"unstated","hi_independent_review":"unstated","hi_ongoing_monitoring":"unstated","hi_training_established":"unstated","hi_failsafe_presence":"unstated","hi_appeal_process":"unstated","hi_public_consultation":"unstated"},"safeguardsRaw":{"hi_testing_conducted":"","hi_assessment_completed":"","hi_independent_review":"","hi_ongoing_monitoring":"","hi_training_established":"","hi_failsafe_presence":"","hi_appeal_process":"","hi_public_consultation":"[]"}},{"sourceId":"VA-24-1766","key":"VA-3449","agency":"VA","agencyName":"Department of Veterans Affairs","bureau":"VHA: Veterans Health Administration","name":"TrueFidelity CT Deep Learning Image Reconstruction","stage":"Deployed","topic":"Health and Medical","highImpact":"High-impact","withheld":false,"hasAto":null,"hasPii":null,"piaUrl":"","vendor":"","contracting":"Vendor Purchased","operationalDate":"","problem":"Improve quality of imaging - process the information acquired during a CT for form images used in medical grade diagnostic imaging","safeguards":{"hi_testing_conducted":"unstated","hi_assessment_completed":"unstated","hi_independent_review":"unstated","hi_ongoing_monitoring":"unstated","hi_training_established":"unstated","hi_failsafe_presence":"unstated","hi_appeal_process":"unstated","hi_public_consultation":"unstated"},"safeguardsRaw":{"hi_testing_conducted":"","hi_assessment_completed":"","hi_independent_review":"","hi_ongoing_monitoring":"","hi_training_established":"","hi_failsafe_presence":"","hi_appeal_process":"","hi_public_consultation":"[]"}},{"sourceId":"VA-24-1803","key":"VA-3450","agency":"VA","agencyName":"Department of Veterans Affairs","bureau":"VHA: Veterans Health Administration","name":"AIDOC BriefCase","stage":"Deployed","topic":"Health and Medical","highImpact":"High-impact","withheld":false,"hasAto":null,"hasPii":null,"piaUrl":"","vendor":"","contracting":"Vendor Purchased","operationalDate":"","problem":"BriefCase is a radiological computer-assisted triage and notification software device. 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The ProFound Detection V4.0 software allows an interpreting physician to quickly identify suspicious soft tissue densities and calcifications by marking the detected areas in the tomosynthesis images.","safeguards":{"hi_testing_conducted":"unstated","hi_assessment_completed":"unstated","hi_independent_review":"unstated","hi_ongoing_monitoring":"unstated","hi_training_established":"unstated","hi_failsafe_presence":"unstated","hi_appeal_process":"unstated","hi_public_consultation":"unstated"},"safeguardsRaw":{"hi_testing_conducted":"","hi_assessment_completed":"","hi_independent_review":"","hi_ongoing_monitoring":"","hi_training_established":"","hi_failsafe_presence":"","hi_appeal_process":"","hi_public_consultation":"[]"}},{"sourceId":"VA-24-1934","key":"VA-3452","agency":"VA","agencyName":"Department of Veterans Affairs","bureau":"VHA: Veterans Health Administration","name":"Circle CVI42","stage":"Deployed","topic":"Health and Medical","highImpact":"High-impact","withheld":false,"hasAto":null,"hasPii":null,"piaUrl":"","vendor":"","contracting":"Vendor Purchased","operationalDate":"","problem":"Combining digital image processing, visualization, quantification, and reporting tools, cvi42 is designed to support physicians in the evaluation and analysis of cardiovascular imaging studies.","safeguards":{"hi_testing_conducted":"unstated","hi_assessment_completed":"unstated","hi_independent_review":"unstated","hi_ongoing_monitoring":"unstated","hi_training_established":"unstated","hi_failsafe_presence":"unstated","hi_appeal_process":"unstated","hi_public_consultation":"unstated"},"safeguardsRaw":{"hi_testing_conducted":"","hi_assessment_completed":"","hi_independent_review":"","hi_ongoing_monitoring":"","hi_training_established":"","hi_failsafe_presence":"","hi_appeal_process":"","hi_public_consultation":"[]"}},{"sourceId":"VA-24-2008","key":"VA-3453","agency":"VA","agencyName":"Department of Veterans Affairs","bureau":"VHA: Veterans Health Administration","name":"VA CART Adenoma Detection","stage":"Deployed","topic":"Health and Medical","highImpact":"High-impact","withheld":false,"hasAto":null,"hasPii":null,"piaUrl":"","vendor":"","contracting":"In-house Development","operationalDate":"","problem":"Extracts adenoma status for CART Veterans using Natural Language Processing (NLP) of VistA colonoscopy surgical pathology reports","safeguards":{"hi_testing_conducted":"unstated","hi_assessment_completed":"unstated","hi_independent_review":"unstated","hi_ongoing_monitoring":"unstated","hi_training_established":"unstated","hi_failsafe_presence":"unstated","hi_appeal_process":"unstated","hi_public_consultation":"unstated"},"safeguardsRaw":{"hi_testing_conducted":"","hi_assessment_completed":"","hi_independent_review":"","hi_ongoing_monitoring":"","hi_training_established":"","hi_failsafe_presence":"","hi_appeal_process":"","hi_public_consultation":"[]"}},{"sourceId":"VA-24-245","key":"VA-3454","agency":"VA","agencyName":"Department of Veterans Affairs","bureau":"VHA: Veterans Health Administration","name":"Siemens YSIO Max","stage":"Deployed","topic":"Health and Medical","highImpact":"High-impact","withheld":false,"hasAto":null,"hasPii":null,"piaUrl":"","vendor":"","contracting":"Vendor Purchased","operationalDate":"","problem":"New system control software realizes Free Axis Simultaneous Travel (FAST) in up to 6 axes at the same time, supported by 8 individual motors. 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