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  • 1.
    Boodaghian Asl, Arsineh
    et al.
    Karlstad University, Faculty of Arts and Social Sciences (starting 2013), Karlstad Business School (from 2013).
    Gokan Khan, Michel
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).
    Studying the Effect of Online Medical Applications on Patients Healing Time and Doctors Utilization Using Discrete Event Simulation2019Conference paper (Refereed)
    Abstract [en]

    Online Medical Applications (OMA) has evolved dramatically in the last few years, and, consequently, the number of patients using it has also grown exponentially. Patients who are seeking non-emergency but immediate medical services or consultant may save time and money by approaching online doctors through OMAs instead of visiting them physically in healthcare centers. Additionally, medical doctors quantity contributing to OMAs growth, which can affect patients average waiting time and the queue size in healthcare centers. In this paper, We have developed a Discrete Event Simulation (DES) model to study the effects of using OMA on the patients healing time and doctors utilization by comparing it with the same process in healthcare centers. Additionaly, we compared patients average queue size, maximum number of patients in the queue, and total number of healed patients in our study. The results of this simulation showed that the healing process in OMA could serve the same number of patients in ~46% shorter time compared to healthcare centers with ~5.7% less doctors’ utilization.

  • 2.
    Boodaghian Asl, Arsineh
    et al.
    Karlstad University, Faculty of Arts and Social Sciences (starting 2013), Karlstad Business School (from 2013).
    Gokan, Michel
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).
    An Empirical Study On GUI-ii Interview Methods In Participatory Design2019In: IADIS (International association for developement of the information society) digital library / [ed] Katherine Blashki and Yingcai Xiao, IADIS Press , 2019, p. 3-10Conference paper (Refereed)
    Abstract [en]

    Graphical user interface interaction interview (GUI-ii), is a recently purposed method in which designers can remotely co-design and review GUI prototypes by eliminating the need for physical presence of co-designers. However, there are some concerns regarding the accuracy of such remote interview methods, as users do not have any physical interaction with the designers during their interview. In this work, for the first time, we compare GUI-ii methods with the traditional face-to-face interview processes to study their effectiveness in various design phases. The result shows that GUI-ii method is most effective when used in Ozlab.    

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