Treffer: Handwritten Data Extraction Using OpenAI ChatGPT4o and Robotic Process Automation.
Title:
Handwritten Data Extraction Using OpenAI ChatGPT4o and Robotic Process Automation.
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; Medical Center For Evaluation, Therapy, Specific Medical Education And Recovery For Children And Young People 'Cristian Şerban' Buziaş, Romania., Raluca Dinu A; Department of Medical Rehabilitation, University of Medicine and Pharmacy 'Victor Babes', Timişoara, Romania.
Source:
Studies in health technology and informatics [Stud Health Technol Inform] 2024 Nov 22; Vol. 321, pp. 245-249.
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 Subsets: MEDLINE
Imprint Name(s):
Original Publication: Amsterdam ; Washington, DC : IOS Press, 1991-
MeSH Terms:
Contributed Indexing:
Keywords: Artificial intelligence (AI); Robotic Process Automation (RPA); data extraction; handwriting
Entry Date(s):
Date Created: 20241122 Date Completed: 20241122 Latest Revision: 20241122
Update Code:
20250114
DOI:
10.3233/SHTI241101
PMID:
39575817
Database:
MEDLINE
Weitere Informationen
This paper proposes to create an Robotic Process Automation style application that can digitalize and extract data from handwritten medical forms. The RPA robot uses OpenAI ChatGPT4o model to extract handwritten medical data and transform it into typed data. The handwritten data is transcribed correctly at a rate of 100%. The data interpretation is accomplished by the UiPath machine learning API. By creating new nonstandard form templates and associated taxonomies the system can be scaled as desired. After the data extraction process the saved data can be sent to a database, spreadsheet. The access to this medical data is restricted to the physicians and medical nurses employed at the medical facility.