5C Network: Distributed Radiology and AI-Assisted Diagnostic Workflow
Origin language: English
5C connects healthcare facilities in India to qualified radiologists through a distributed clinical network supported by digital imaging workflow and assistive AI. Studies are received from participating facilities, routed and prioritised, supported by workflow and quality tools, and returned as clinically signed reports. Radiologists retain final clinical responsibility. The implementation aims to expand timely access to specialist interpretation while generating practical lessons in orchestration, quality monitoring, escalation, interoperability, infrastructure variability and human oversight.
Variable connectivity and imaging equipment across sites; uneven availability of subspecialist radiologists; integration with local clinical workflows; maintaining accountability across distributed teams; continuous quality monitoring and exception handling; interoperability and data governance; and maintaining safe service during technical failures.
Embed AI in a complete clinician-led delivery workflow, with qualified radiologists retaining final responsibility. Operate continuous quality assurance, escalation and auditability. Measure access, timeliness, quality, workload, cost and equity alongside model performance. Use interoperable imaging and health-data standards, adapt onboarding to local infrastructure, and build graceful degradation and manual fallback into safety-critical workflows.
