Treffer: Robotic Process Automation Based Data Extraction from Handwritten Medical Forms.
Title:
Robotic Process Automation Based Data Extraction from Handwritten Medical Forms.
Authors:
Gal-Nadasan N; Politehnica University of Timisoara, Department of Automation and Applied Informatics, Faculty of Automation and Computers, Romania., Stoicu-Tivadar V; Politehnica University of Timisoara, Department of Automation and Applied Informatics, Faculty of Automation and Computers, Romania., Gal-Nadasan E; Department of Medical Rehabilitation, University of Medicine and Pharmacy 'Victor Babes'., Dinu AR; Department of Medical Rehabilitation, University of Medicine and Pharmacy 'Victor Babes'.
Source:
Studies in health technology and informatics [Stud Health Technol Inform] 2023 Oct 20; Vol. 309, pp. 68-72.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform
Imprint Name(s):
Original Publication: Amsterdam ; Washington, DC : IOS Press, 1991-
MeSH Terms:
Contributed Indexing:
Keywords: Optical character recognition (OCR); Robotic Process Automation (RPA); data extraction; handwriting
Entry Date(s):
Date Created: 20231023 Date Completed: 20231102 Latest Revision: 20231102
Update Code:
20250114
DOI:
10.3233/SHTI230741
PMID:
37869808
Database:
MEDLINE
Weitere Informationen
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.