Robotic Process Automation Based Data Extraction from Handwritten Medical Forms
Norbert Gal-Nadasan,
Vasile Stoicu-Tivadar,
Emanuela Gal-Nadasan
et al.
Abstract:This paper proposes to create an RPA(robotic process automation) based software robot that can digitalize and extract data from handwritten medical forms. The RPA robot uses a taxonomy that is specific for the medical form and associates the extracted data with the taxonomy. This is accomplished using UiPath studio to create the robot, Google Cloud Vision OCR(optical character recognition) to create the DOM (digital object model) file and UiPath machine learning (ML) API to extract the data from the medical fo… Show more
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