Med-AI Clinical Intelligence

Med-AI Clinical empowers imaging teams with a robust platform for quality assurance of radiology reports. Key features include: • Structured report quality review • Customizable review queues • Critical result escalation workflows • Audit-ready sign-off processes This platform provides radiologists with a dedicated workbench for reviewing draft reports. It flags potential issues such as evidence discrepancies, laterality checks, and gaps in comparison to prior studies, ensuring thoroughness before final sign-off. The focus is on enhancing report quality and consistency, not on autonomous patient care. Med-AI Clinical offers significant operational advantages by generating measurable signals from accepted, edited, and rejected drafts. This data helps medical directors assess improvements in throughput and report consistency. The system is designed with hospital governance requirements in mind, incorporating features like audit trails, clinician attribution, and consent models. Built specifically for supervised validation pilots, Med-AI Clinical supports retrospective validation with design partners. It facilitates a safer, clinician-controlled process for integrating advanced tools into clinical documentation, with architecture that includes FHIR-oriented export capabilities and tenant isolation at the database layer.