Medical Imaging RPA System Design

Abstract

Robotic Process Automation (RPA) can minimize human errors, improve efficiency, and create a seamless operational environment in the healthcare industry. This paper examines the existing radiology imaging requisition system, which requires human labourers to perform medical request processing and classification. To improve this slow, error-prone, and hard-to-scale process, we design an RPA approach that significantly improves efficiency. The proposed RPA-based system consists of automatic fax forwarding, optical character recognition (OCR), form classification, and auto file storage. Compared with the existing methods, the proposed RPA approaches have much faster processing speed (94% reduced), much lower cost (98.4% reduced), easier scaling and increased error-handling efficiency.