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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
VA · VA-24-5464 · record R2290

Nediser Reports QA

Department of Veterans Affairs · VHA: Veterans Health Administration

Overview

Development stage
DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
High-impact designation
High-impactSource: a) High-impact
Impact justification
Not reported
Start date
Not reported
Withheld from public reporting
Not reported

Mission

Topic area
Health and Medical
Operational functions
Clinical and medical Derived by keyword rules; see methodology

Problem the AI is intended to solve

Nediser is a continuously trained artificial intelligence "radiology resident" that assists radiologists in confirming features in radiology images, including x-ray. It helps with workflow efficiency and quality. The program fills in the comparison date, identifies the joint for the appropriate template, performs measurements, and grades arthritis. The output is sent to the radiologist as a draft report. The radiologists use this to save time and improve accuracy. No output is sent to the EHRM or used by other providers.

Expected benefits

- Promote standardization of radiology reports as currently their inherent unstructured and narrative style can be subjective, leading to variability. - Promote quantitative reporting - Reduce errors of transcription, such as laterality or no. of views, which the Radiologist has to manually dictate without this software.

System outputs

The AI system always requires human in the loop and sends outputs into the radiology report draft. No output is send to the EHRM. The output draft includes comparison dates, measurements, and arthritis grading which the radiologists can review and edit as they finalize the report.

Technology

AI classification
Computer visionSource: Computer Vision: AI that processes and interprets visual data (e.g., images and videos).
System name(s)
Not reported
Custom-developed code
Yes
Public source code
Not reported

Sourcing

How it was built
Developed in-houseSource: b) Developed in-house
Vendor (as reported)
Not reported
Vendors (standardized)
None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII
Not reported
Privacy Impact Assessment
Not reported
Authorization to Operate
Not reported
Demographic features
Not reported
Training and evaluation data
Not reported
Federal Data Catalog
Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingNo answer reported
AI impact assessmentNo answer reported
Independent reviewNo answer reported
Ongoing monitoringNo answer reported
Operator trainingNo answer reported
Fail-safeNo answer reported
Appeal processNo answer reported
User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported