Evaluating the QoE of a mobile DSS for diagnosis of red eye diseases by medical students

Abstract

This paper aims to evaluate OphthalDSS, a new mobile Decision Support System (DSS) for red eye diseases diagnosis, and presents the results after evaluating the Quality of Experience (QoE) by medical students of the University of Valladolid, Spain. The main utilities that OphthalDSS offers, will be a study guide for physicians and medical students, and a clinical decision support system for primary care professionals. The decision algorithm will be implemented by an Android mobile App and the QoE will be evaluated by a short inquiry. The algorithm OphthalDSS is capable of diagnosing more than 30 eye's anterior segment diseases. A total of 67 medical students have evaluated the QoE. The different blocks in which the survey is organized have achieved a score of at least the mean value. Most of the surveyed students agree with that OphthalDSS does the function that they expected, the information presented in it is totally reliable, it is intuitive and has got an appropriate appearance, and they highlight the decision algorithm's effectiveness.