Image Quality Control Tool
Department of Veterans Affairs · VHA: Veterans Health Administration
Overview
- Development stage
- In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.
- High-impact designation
- Not high-impactSource: c) Not high-impact
- Impact justification
- Not reported
- Start date
- Not reported
- Withheld from public reporting
- Not reported
Mission
- Topic area
- Service Delivery
- Operational functions
- Clinical and medical Derived by keyword rules; see methodology
Problem the AI is intended to solve
Currently, patients submit images to My VA Images, then a provider reviews the images. If a patient submits a low quality image, they must await a response from the provider, who must then request that the patient submit another image. This causes unnecessary delays in patients receiving care regarding their dermatological conditions. If the image is low quality (blurry, too light, too dark, too far, too close, not centered, or distracting background), this model will prompt patients to submit another image immediately following their submission.
Expected benefits
Increased efficiency due to immediate review and qualification of images submitted to My VA Images, simplifying the process for both patients and providers. Improved relations with patients and lower patient frustration with the overall process due to the simplified process.
System outputs
Patients will receive a notification in My VA Images if the image they submitted is low quality (blurry, too light, too dark, too far, too close, not centered, or distracting background).
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
- Not reported
- Public source code
- Not reported
Sourcing
- How it was built
- Not reported
- 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.
Potential impacts and how they were identified
Not reported