Robotic Process Automation Based Data Extraction from Handwritten Medical Forms.

Journal: Studies in health technology and informatics
Published Date:

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 form. Due to the fact that the medical form is in a non-standard format a data extraction template had to be applied. After the extraction process the data can be saved into databases or into a spreadsheets.

Authors

  • Norbert Gal-Nadasan
    Politehnica University of Timisoara, Department of Automation and Applied Informatics, Faculty of Automation and Computers, Romania.
  • Vasile Stoicu-Tivadar
    Politehnica University of Timişoara, Romania.
  • Emanuela Gal-Nadasan
    Department of Medical Rehabilitation, University of Medicine and Pharmacy "Victor Babes".
  • Anca Raluca Dinu
    Department of Medical Rehabilitation, University of Medicine and Pharmacy "Victor Babes".