<?xml version="1.0"?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://repozitorij.uni-lj.si/IzpisGradiva.php?id=136909"><dc:title>Using OCR to improve inventory management in Health 4.0</dc:title><dc:creator>PETROVA,	ANA	(Avtor)
	</dc:creator><dc:creator>Vavpotič,	Damjan	(Mentor)
	</dc:creator><dc:subject>health 4.0</dc:subject><dc:subject>inventory management</dc:subject><dc:subject>mobile application</dc:subject><dc:subject>OCR</dc:subject><dc:description>In this bachelor thesis Health 4.0 is described, as well as its history, main principles, ideas, and potential. We define the role of supply chain management in Health 4.0, as well as discuss its main issues, with a focus on inventory management as a crucial process that has a lot of room for improvement. The role of OCR in healthcare inventory management is explored via a domain overview of existing solutions. We describe the solution that was developed as a part of this bachelor thesis, the technologies that were used, the system’s design and its functionalities. The application implements a novel functionality in inventory health management, namely the use of OCR for the goals of data entry automation and data extraction from invoice documents in healthcare. The application aims to improve efficiency via the minimization of the time needed for processing documents, as well as improve the accuracy of the entered data.</dc:description><dc:date>2022</dc:date><dc:date>2022-05-24 14:30:00</dc:date><dc:type>Diplomsko delo/naloga</dc:type><dc:identifier>136909</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
