Handwritten Data Extraction Using OpenAI ChatGPT4o and Robotic Process Automation.

Journal: Studies in health technology and informatics
PMID: 39575817

Abstract

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.

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", Timişoara, Romania.

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