Evaluating the User Acceptance Level of a Novel Tree-Based Approach on Moddeling Medical Research Data

• Main Authors: Péter OLÁH, Marius MUJI, Nicoleta SUCIU, Marius MĂRUŞTERI, Călin AVRAM
• Format: Article
• Language: English
• Published: Editura Universităţii "Petru Maior" 2016-12-01
• Series: Scientific Bulletin of the ''Petru Maior" University of Tîrgu Mureș
• Subjects: healthcare information systems; medical databases; design pattern; data interrogation; user interface
• Online Access: http://scientificbulletin.upm.ro/papers/2016-2/03%20Olah%20P,%20Muji%20M,%20Suciu%20N,%20Marusteri%20M,%20Avram%20C%20-%20Evaluating%20the%20user%20.pdf
• ISSN: 1841-9267; 2285-0945

Modern medical research needs specialized Information Systems that can store and process large amounts of complex scientific data, while providing the medical researcher with a high degree of flexibility regarding the design of the data structure. In our previous work we have proposed an architecture for such a system based on trees and multitrees, stored in a relational database. In this paper we present the tools that we have used to assess the user acceptance level of this system along with the results of this evaluation. Our findings have validated the benefits of the proposed system and helped us identify some relevant aspects that need further improvement.