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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
VA · VA-25-3829 · record R2123

Nursing Career Path 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
High-impactSource: a) High-impact
Impact justification
Not reported
Start date
Not reported
Withheld from public reporting
Not reported

Mission

Topic area
Human Resources
Operational functions
HR and workforce Derived by keyword rules; see methodology

Problem the AI is intended to solve

It will solve several critical leadership challenges within the VA system, including: - Identification of leadership potential - Workforce optimization - Centralized training and development resources properly matched with different levels of leadership stages - Support for leadership talent identification (qualified leaders to assume detail position) - Enhanced veteran centric care and operational efficiency - Cost-efficiency (recruitment, retention) The tool aims to systematically review staff qualifications, identify leadership levels, collate VA-wide resources, and assist leadership in talent identification and assignment for vacant leadership positions. By leveraging AI technology, the VA can ensure the right nursing talent is developed and effectively placed in leadership roles, ultimately improving service delivery and staff satisfaction.

Expected benefits

Provide a structured and data-driven approach to nursing career development and succession planning within the VA. This tool aims to create a well-organized and efficient process for identifying, developing, and placing nursing (potential) leaders within the VA, ultimately enhancing patient care, reducing costs, and improving overall operational efficiency. It will also better align staff qualifications with leadership roles, improve succession planning, reduce gaps in leadership positions, and increased staff engagement and satisfaction through clear career progression paths.

System outputs

- Review and analyze staff qualifications and talent to identify leadership potential. Categorize staff into leadership levels ranging from emerging leaders to senior leaders. - Collate and centralize educational and training resources from the Talent Management System (TMS), Veterans Integrated Service Networks (VISN), and individual VA site training programs (e.g., Nurse Manager Passport, Nurse Manager Academy, and Chief Nurse Mentoring program). - Match staff and leader for internal/external leadership mentorship program potential (virtual or face-to-face) -Serve as a resource for leadership to support talent identification such as suitable candidates for detail assignments for vacant leadership positions

Technology

AI classification
Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
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.

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