The implementation of a national registry for international medical volunteers during armed conflict: the Israeli experience

Background: Israel established the Medical Volunteers for Israel (MVFI) registry to rapidly recruit, license, and integrate international physicians into its health system during emergencies. This study evaluates the registry’s design, implementation, and operational outcomes. Methods: A narrative synthesis of registry data was conducted using the MFVI dataset from October 2023 to August 2025. Quantitative analysis characterized physician demographics, specialty distribution, licensing status, and deployment outcomes. A standardized review of hospital needs assessment and licensing protocols was performed to detail the system’s replicability. Results: The registry enrolled 7,032 international physicians from over 50 countries, with 59% originating from the United States. High-demand specialties included anesthesiology (23% of deployed), emergency medicine (23%), and trauma surgery (12%). Of those registered, 453 physicians were successfully deployed to fill acute staffing gaps. Deployment occurred through a novel, hospital-specific temporary licensing mechanism that bypassed the traditional multi-month observation requirements for senior physicians entering the Israeli workforce. The process, designed to be efficient and similar to that for temporary licenses for visiting specialists, was intended to accelerate approvals and reduce bureaucracy. Although it was finalized before Oct 7, 2023, for earthquake preparedness, recruitment, and final approval occurred only after that date. Conclusions: The MFVI registry demonstrates that a government-led, need-based integration of international medical personnel is an effective strategy for sustaining healthcare operations during emergencies. While successful in bridging staffing gaps, the model requires robust pre-deployment orientation to overcome language and system barriers. By embedding expertise directly into national infrastructure, this approach offers a scalable alternative to traditional parallel aid models such as emergency medical teams and field hospitals.