• Sonuç bulunamadı

Assessing the Impact of User Interfaces to the Usability of a Clinical Decision Support System

N/A
N/A
Protected

Academic year: 2021

Share "Assessing the Impact of User Interfaces to the Usability of a Clinical Decision Support System"

Copied!
1
0
0

Yükleniyor.... (view fulltext now)

Tam metin

(1)

Assessing the Impact of User Interfaces to the

Usability of a Clinical Decision Support System

李友專

Chang YJ;Tsai CY;Yeh ML;Li YC

Abstract

In a clinical decision support system (CDSS), the outcome of the system is related to the user interface directly. A successful CDSS should offer an efficient user interface to clinicians in order to get the most proper consultation results. This study is to assess the impact of user interface to the usability of CDSS. Two different types of input user interfaces were integrated into a well-established CDSS, namely, keyword-based interface and menu-based interface. The operating time of each interface was assessed, and the efficiency of the interfaces, effectiveness of the systems, and enjoyment of the users were also evaluated for degree of usability.

Referanslar

Benzer Belgeler

Ni and Leonard (2005) introduced the idea of using Markov chain Monte Carlo methods for sampling and imputing missing data [31], and then using the imputed data to estimate

Arriving at the conclusion that China’s own natural gas production is not enough to substitute its coal dependency this chapter has sought to reconsider

• In order to do the performance analysis and comparison of the proposed approach with the existing time domain approach in terms of achieved digital cancellation we first developed

They are crucial in the literature of authoritarian survival because they can determine the survival of regimes as Magaloni and Wallace (2008: 27) refer by ‘affecting

6.3 Distance between center of sensitive area and the obfuscated point with circle around with radius of GPS error Pink Pinpoint: Sensitive trajectory point Green Pinpoint:

Response surface methodology (RSM) for instance is an effective way to bridge the information and expertise between the disciplines within the framework to complete an MDO

CPLEX was able to find only a few optimal solutions within 10800 seconds and none of the results found by the ALNS heuristic, with an average solution time of 6 seconds, for

In this study, the objective is to constitute a complete process model for multi-axis machining to predict first the cutting forces secondly the stable cutting