NAUR provides purpose-built software for healthcare and life sciences organizations, with its Ginseng solution automating coverage analysis for clinical trials. Ginseng uses a physician-developed clinical and regulatory engine to generate audit-ready coverage determinations in under 30 minutes, compared to the 15-50 days typical at benchmarked cancer centers. The platform cross-references NCCN guidelines, NCDs/LCDs, FDA drug labels, and other sources while keeping human review central to every decision.
Funding
Funding not disclosed
Founders
Product
Problem
Manual coverage analysis for clinical trials is fragmented, slow, and difficult to audit, often taking 15-50 days at benchmarked cancer centers. This delays trial activation and strains research teams, while the complexity of cross-referencing payer policies, FDA labels, and clinical guidelines increases the risk of compliance gaps and billing errors.
Solution
NAUR's Ginseng is a proprietary intelligent SaaS platform that automates coverage analysis for clinical trials. The system routes each protocol through a physician-developed clinical and regulatory engine that cross-references NCCN guidelines, NCDs/LCDs, FDA drug labels, eviCore imaging guidelines, and Children's Oncology Group guidelines. Ginseng produces transparent, audit-ready coverage determinations with billing grid logic that mirrors how experienced coverage analysts reason, while applying AI selectively and only under human review. The platform includes workflow tools for faster review cycles, PI and QAM communication, centralized feedback, and real-time process tracking, all configurable to each institution's risk tolerance and compliance standards.
Target Audience
Primary customers are clinical trials offices at cancer centers, integrated health systems, and community hospitals, as well as sponsors and research organizations that need faster, audit-ready coverage determinations for oncology trials.
Features
- Physician-built clinical and regulatory rules engine covering NCD 310.1, NCCN guidelines, FDA labeling, eviCore imaging guidelines, and COG guidelines
- Coverage analyst-validated billing grid logic that designates research costs as Sponsor, Medicare, or Non-Billable
- Selective AI application with no LLM black box, ensuring institutional accountability and human oversight on final determinations
- Audit-ready output with transparent reasoning trails and configurable institutional risk tolerance settings
- Centralized feedback collection and resolution tracking to streamline communication between PIs, quality assurance managers, and research teams
- Real-time process tracking dashboard to monitor progress and deadlines across coverage analysis workflows