## 3 Results
### Results of the Medical Software Validation  
Investigating the success rate and satisfaction of the analytical and empirical approaches with the developed VCMS is valuable for reviewing its clinical usefulness and practical availability.  
Figure 7a shows the accumulated bar graph of each task performed according to Table 4. The participants' task performance can be classified into three categories. Completed (C) is successful completion of the task without usage error and a close call; completed with issues (CI) is the final completed task, although it could have been used incorrectly; incomplete (NC) involves usage error or a task being completed that is different from the manufacturer's intention or expectation, and when the user finds it difficult to perform the task and asks for help to complete the task. Success in the task includes only C and CI. Figure 7a shows the result of calculating the task completion rate for each scenario based on Equation (2). Nineteen items obtained class C, and there were two items with a 100% success rate, including C and CI classes, showing a 100% task success rate from a total of 21. There were 32 items with a task success rate > 90%, accounting for 86.4% of the total items. The largest number of CI classes was counted as three users each in tasks 23 and 29, and the largest number of NC classes was in tasks 5 and 17, with six participants each. In particular, the CI class also included two users in the case of task 17, which had the lowest success rate of 71% among all tasks. This error was caused by the less intuitive nature of the alarm setting menu, because the volume icons in the OS are more familiar. Except for task 17, 36 items had 80% or higher task success rates. Figure 7b shows the task completion rates for each scenario. The average task success rate per scenario was 92%, and the 95% CI was 88.81 \(\pm\) 90.43. The scenario with the highest task completion rate was 100% with the waveform setting (Task 5), and the lowest task completion rate was 86% with hospitalization (Task 1). Due to the difficulty of the menu approach in task 1, many participants performed their duties with confusion and with the help of the host. This problem occurs when participants first encounter a program and can be overcome through mastery. In the case of hospital discharge, a button was produced under the name \"remove\" during the medical software validation, and this confused the participants. Therefore, we fixed the problem by renaming it \"discharge\", which is more commonly used in clinical practice.  
Figure 6: Scatter plot of data transmission rapidity (DTR) difference according to the DTC.  
Figure 8 shows a bar graph of the satisfaction survey results by scenario according to Table 5. The satisfaction survey was conducted for 15 min for participants who participated in the task after the summative test was completed and was conducted without host or external influences. The average satisfaction with the 23 items was 4.66 out of 5. The \"alarm setting\" of scenario 6 showed the highest satisfaction, with 4.82 points, and the \"discharge\" of scenario 9 showed the lowest satisfaction, with 4.52 points. \"Overall\" scenario 10 proved  
Figure 7: **(a) Accumulated bar graph for score for 37 tasks, and (b) task completion rate for each scenario. Here, the medical software validation for the VCMS was conducted with the items in Table 4.**  
the usefulness of the VCMS with 4.67 points, reflecting the display trend and operation method of the existing patient monitor and ventilator as closely as possible. Thus, this high level of clinical staff satisfaction indicates the need for the developed VCMS compared to various existing monitoring devices and suggests that it may have real-world utility in the ICU.