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ICT for Health: Networks, standards and innovation




                                            Table 1 – The structure of the user study

                                                            User Study
                                  Study 1 - Current Interface            Study 2 - Proposed Interface

                  Device        Desktop            Smartphone           Desktop           Smartphone
                   Task 1                    Finding an existing patient using a given name
                   Task 2               Finding an existing patient using a given patient ID number

                   Task 3   Registering a new patient using a given name and additional information (e.g., name, age)


                  5.  DATA ANALYSES AND RESULTS               how much the proposed interface has improved, we adopt
                                                              one of the the usability metrics proposed by Jakob Nielsen
           5.1  Data Analysis                                 [16]. Since adding up the task times may be misleading if the
                                                              given tasks are unevenly performed, Nielsen recommended
           The three tasks presented in Table 1 contain the same or  to compute the scores of improvement for each of the
           similar actions such as clicking the search button and moving  tasks and take the geometric mean of these scores later.
           the cursor to the view button in the result block. For the sake  For example, the relative score of the proposed interface
           of data analysis, we categorized the tasks into seven actions  for Action 1 in the desktop setting can be computed as
           as follows:                                        ((2.5 − 1.7)/1.7 ∗ 100) + 100 = 147% (improvement of

             • Action 1: Open the Registration page and select the text  47%). The percentages of improvement of each action are
               input box in the search bar.                   presented in Table 2. The geometric means of the desktop and
                                                              smartphone environments are 132% and 134%, respectively.
             • Action 2: Open the Registration page and select the  In other words, it indicates that the proposed interface
               Patient ID in the option of the search field.   was perceived as having 32% and 34% higher usability in
                                                              the desktop and smartphone settings, respectively than the
             • Action 3: Enter the given patient name and click the  current one. Nielsen suggested to utilize a user satisfaction
               search button                                  score to formulate an overall conclusion if the target website

             • Action 4: Enter the given patient identification number  is about entertainment or rarely used.  However, we did
               and click the search button                    not normalize the usability results with users’ subjective
                                                              satisfaction as C4G BLIS is informative and frequently used
             • Action 5: After checking the search result, click the  in hospitals.
               profile view button
                                                                              6.  DISCUSSION
             • Action 6: After checking the search result, click the new
               patient button                                 6.1 Design

             • Action 7: Fill out the patient information and submit the  In this study, we compared the usability of desktop versus
               form.                                          smartphone interfaces for C4G BLIS. This study was carried

           As a quantitative metric for each action, we measured its  out at three different sites with actual users. We were able
           execution time, the difference between the start and end time,  to recruit local system administrators to carry out the user
           and excluded the loading time such as the delay from clicking  studies. We then collected the log data for three tasks that
           the search button to retrieving the inquiry data.  were based on dummy data sets. We found improvements
                                                              of up to 32% usability for desktop and up to 34% for
                                                              smartphone settings for all three tasks. Although our results
           5.2  Results
                                                              are promising, we found some areas where we could improve.
           Participants in our study used various devices and software
           as follows:  Devices (Desktop, Laptop, 2-in-1 Laptop,
           Smartphone),  Operating Systems (Windows,  MacOS,  First, the system should allow end-users to customize more
           Android, iOS), and Browsers (Firefox, Chrome, Edge,  configurations. For instance, we can consider the location of
           Safari). Their screen resolution ranged from 320x432 to  the tips block (See Figure 5). Since the system is designed for
           1600x786.                                          medical professionals, the usage tips might not be useful after
                                                              several sessions of using the system. Thus, we need to provide
           Table 2 describes the average execution time of each action,  an option to let the user hide the tips block. This preference
           and the whisker plots in Figure 7 presents the minimum,  can be stored in the cache so that we can keep it hidden. By
           first quartile, median, third quartile, and maximum values  doing so, the user can view more search results on the same
           of task execution time in seconds. In order to determine  screen without scrolling. Secondly, we can streamline other




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