Case Summary:     

A client from Iran partnered with North America Immigration Law Group (NAILG) to file an EB-2 NIW petition based on his influential work at the intersection of healthcare systems and operations research. By compiling clear documentation of his research accomplishments and the national importance of his work, our team presented a compelling petition that ultimately led to the successful approval of his I-140, despite a Request for Evidence being issued mid-process.

Advancing U.S. Healthcare through Contract Innovation and Artificial Intelligence

The client’s proposed endeavor centers on designing and implementing performance-based contract mechanisms to improve healthcare system efficiency and reduce waste. His research targets the development of simulation-based, AI-enhanced decision tools for health services delivery, especially those aimed at optimizing resource allocation, scheduling, and patient outcomes.

His work responds to national healthcare challenges, including excessive costs, avoidable delays, and inequitable access. His proposed solutions have the potential to foster cost-effective innovation across U.S. healthcare systems, including public-private coordination, policy reform, and delivery optimization.

His Scientific Work Has Earned Significant Recognition

• 17 peer-reviewed journal articles, 5 conference papers, and 2 preprints, with a substantial portion as first author
• 190 total citations to date across publications in industrial engineering, healthcare policy, and optimization
• Completed 21 peer reviews for highly ranked journals in operations research and production systems

Four of his papers rank among the top 10% or 20% most cited in the engineering field for their respective publication years, highlighting the broad adoption of his methodologies by researchers worldwide.

An excerpt from a letter of support reinforces the significance of his work:

“[Client’s] innovative analytical models and pricing strategies provide practical tools to optimize healthcare contracts and improve service delivery across both public and private sectors. By addressing disparities and enhancing efficiency, his research offers actionable solutions that can maximize societal benefits and elevate healthcare quality in the United States.”

Notable Scientific Contributions Include:

• Bio-Inspired AI for Healthcare Efficiency: Developed gene-expression algorithms and dispatching rule optimization techniques that improve scheduling and resource allocation across dynamic medical environments
• Healthcare Equity Through Contract Design: Created pricing and subsidy-based coordination models for public and private hospitals that balance wait times, quality of care, and access
• Advanced Simulations for Policy Planning: Built simulation tools that evaluate and optimize healthcare resectorization and resource sharing to maximize societal utility

His work has influenced scholars in healthcare policy, operations management, and scheduling optimization. U.S. and international studies have cited his models for improving hospital wait times, vaccination strategies, and public-private collaboration in health services.

NAILG’s Strategic Approach: Addressing the RFE and Demonstrating National Relevance

To address the RFE and secure approval, NAILG emphasized the client’s role in advancing healthcare efficiency, the impact of his AI-driven methodologies, and his strong academic record and citation history. We reinforced his eligibility under the Dhanasar framework and demonstrated how his work supports U.S. priorities in critical technologies like artificial intelligence. USCIS approved the case, recognizing the national significance of his proposed endeavor.