The SME – Health Systems Analyst serves as the clinical and operational authority for quality, patient safety, workflow validation, and clinical oversight across Project SWIFT deployments. This role ensures safe, effective clinical operations during Pre-Deployment, Go-Live, and Stabilization and provides leadership across ATE support and clinical backfill activities.

• Oversee clinical quality, patient safety alignment, and workflow validation across sites
• Coordinate with VA clinical leadership, service-line SMEs, and clinical informaticists
• Provide oversight and guidance to specialty support teams during surge operations
• Identify and mitigate clinical risk during go-live and stabilization periods
• Ensure adherence to clinical best practices and VA policy requirements
• Contribute clinical insight to readiness assessments, incident management, and lessons learned

• Either:
  • Nurse Practitioner (NP) with:
  • Bachelor of Science in Nursing (BSN)
  • Completion of an NP-focused graduate master’s or doctoral program
  • Active NP board certification
• Or:
  • Internal Medicine Physician with:
  • MD or DO from an accredited U.S. or Canadian institution
  • Current, active, full, unrestricted physician license

Project SWIFT (Scaled Workforce for Implementation and Facility Throughput) provides surge staffing, command-and-control, and operational stabilization support to VA medical facilities during Federal Electronic Health Record (EHR) deployments. The program is designed to maintain access to care, protect patient safety, and stabilize clinical and administrative operations before, during, and after EHR go-live events.

Through a centralized Command and Control Center (C4) and coordinated onsite support teams, Project SWIFT delivers readiness planning, at-the-elbow (ATE) assistance, clinical and operational backfill, and post-deployment stabilization across concurrent VA facility activations. The program supports Pre-Deployment, Go-Live, and Stabilization phases, enabling facilities to recover throughput, reduce disruption, and achieve steady-state operations while capturing lessons learned to continuously improve future deployments.