USABILITY MODEL DESIGN FOR ELECTRONIC MEDICAL RECORD SYSTEM

• Main Author: PRATAMA, JAMES
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/42040
• Institution: Institut Teknologi Bandung

Usability is an unobserved and multidimensional concept, therefore one can only measure usability level of a system using another variable. Some researchers try to measure usability as a unidimensional variable, while another decomposes usability into some formative constructs. Other researchers developed interaction design principles which are believed to have a positive impact on usability. Former researches about usability of an electronic medical record (EMR), produced numbers of frameworks, evaluation guidelines, and EMR design standards. Nevertheless, until now Indonesian hospitals still hesitant to implement EMR thoroughly, and one of the reasons is the level of EMR usability. In this research, EMR usability is going to be modeled formatively using structural equation modeling technique. This research aims to test the significance of relationships between EMR usability and variables assumed to form it (formative). The formative variables can be divided into measured usability and perceived usability. Measured usability, which is derived into effectiveness and efficiency, are going to be measured quantitatively. Perceived usability, which is derived into user interface, user experience, and information architecture, are going to be measured qualitatively. All of the variables and indicators used in this model is based on other researches findings. The EMR usability model was implemented in a near live experiment, involving junior physicians as experiment respondents. Data gathered from the experiment was examined using partial least square structural equation modeling technique (PLS SEM). Based on the experiment result, researcher found that perceived usability itself would not be enough to measure EMR usability as a whole, because we found that respondents experiencing usability problems throughout the experiment found it difficult to interpret the problems into questionnaire answers. Beside that, we also found that perceived usability and measured usability are not correlated one another. Therefore, we conclude that both variables are giving different insights about EMR usability, and the insights complement each other.