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Handwritten Data Extraction Using OpenAI ChatGPT4o and Robotic Process Automation.

Norbert Gal-Nadasan¹, Vasile Stoicu-Tivadar¹, Emanuela Gal-Nadasan²

¹Politehnica University of Timisoara, Department of Automation and Applied Informatics, Faculty of Automation and Computers, Romania.

Studies in Health Technology and Informatics

|November 22, 2024

Summary

This summary is machine-generated.

This study introduces a Robotic Process Automation (RPA) application for digitizing handwritten medical forms. The system accurately extracts and transforms data using advanced AI, improving medical data management.

Keywords:

Artificial intelligence (AI)Robotic Process Automation (RPA)data extraction handwriting

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Area of Science:

Medical Informatics
Artificial Intelligence
Robotic Process Automation

Background:

Manual data entry from handwritten medical forms is time-consuming and prone to errors.
Digitalization of medical records is crucial for efficient healthcare management and research.
Existing systems often struggle with the variability of handwritten content.

Purpose of the Study:

To develop an automated system for digitalizing and extracting data from handwritten medical forms.
To leverage AI and RPA for accurate transcription and interpretation of medical data.
To create a scalable solution for transforming unstructured medical data into structured formats.

Main Methods:

Development of a Robotic Process Automation (RPA) application.
Integration of OpenAI's ChatGPT-4o model for handwritten data transcription.
Utilization of the UiPath machine learning API for data interpretation.
Implementation of custom form templates and taxonomies for scalability.

Main Results:

Achieved 100% accuracy in transcribing handwritten medical data.
Successfully transformed handwritten data into typed, usable information.
Enabled data storage in databases and spreadsheets for further analysis.
Ensured secure access restricted to authorized medical personnel.

Conclusions:

The proposed RPA application effectively digitalizes handwritten medical forms with high accuracy.
AI-powered data extraction and interpretation offer a scalable solution for medical data management.
This technology can significantly improve the efficiency and reliability of handling medical records.