Αυτοματοποιημένη ψηφιοποίηση και διαχείριση ιατρικού ιστορικού με τη χρήση τεχνητής νοημοσύνης

Κουλιέρη, Ευανθία - Μαρία

Automated digitization and management of medical history using Artificial Intelligence

Master Thesis

Author

Κουλιέρη, Ευανθία - Μαρία

Date

2026-06

Abstract

This thesis investigates the development of applications based on intelligent systems for supporting the digital management of medical information and enhancing the independent living of individuals requiring healthcare monitoring. The adoption of modern technologies in the healthcare sector has created new opportunities for monitoring patients' health conditions, accelerating clinical decisionmaking, and improving the quality of healthcare services. The continuous evolution of information systems and artificial intelligence applications has significantly influenced the fields of biomedicine and healthcare. These technologies enable more efficient management of medical data, early identification of potential health issues, and greater autonomy for individuals with limited mobility or those requiring continuous health monitoring. Within the scope of this thesis, a multi-user web application was developed, focusing on the digitalization and creation of electronic health records through the use of artificial intelligence. The application enables patients to upload medical documents, such as diagnoses, laboratory reports, and prescriptions, in PDF or image format. These documents are automatically analyzed by an artificial intelligence model, which extracts the most relevant medical information and generates a structured electronic medical history. At the same time, patients retain full control over their personal health data and can securely share their medical history with authorized physicians, who are granted readonly access to the information. The application was implemented using Spring Boot, Vaadin, and Microsoft SQL Server, while the representation of medical information follows the international HL7 FHIR standard and the LOINC and SNOMED CT medical coding systems to ensure interoperability and compatibility with modern healthcare information systems. In addition, the system incorporates user authentication, access control mechanisms, and secure management of personal health information. The results of this study demonstrate that artificial intelligence techniques can effectively automate the creation of electronic health records from heterogeneous medical documents, facilitating the secure management and exchange of medical information between patients and healthcare professionals.

Postgraduate Studies Programme

Πληροφοριακά Συστήματα και Υπηρεσίες

Department

Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα Ψηφιακών Συστημάτων

Number of pages

131

Language

Greek

URI

https://dione.lib.unipi.gr/xmlui/handle/unipi/19664

Collections

Τμήμα Ψηφιακών Συστημάτων

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Except where otherwise noted, this item's license is described as
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα