Extract patients’ diagnosis information and map the diagnosis to oncotree
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
- 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
Extract patient diagnosis from unstructured patient notes and map the diagnosis to oncotree, because these information typically is extracted manually and it takes a long time to be put into the database.
Expected benefits
This project could increase efficiency, save cost, and enhance patient outcomes. With real time diagnosis tracking, the national oncology program is able to better support the patient with cancer diagnosis and understand each veterans' individual needs. While AI extract the information from the unstructured notes, it speed up the review process, providers can save time to help more patients rather than taking a long time to review each notes.
System outputs
Patient cancer diagnosis and the oncotree mapping
Technology
- AI classification
- Natural language processingSource: Natural Language Processing: AI that processes, interprets, and shares information in human language.
- 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