Abstract
Clinical Decision Support Systems (CDSS) have been used widely since 2000s to improve the healthcare quality. CDSS can be utilized to support healthcare services as a tool to diagnose, predict, as well as to provide clinical interpretation, alert, and reminder. There are many researches of CDSS implementation on literatures but not many of them present the evidence of CDSS successful implementation. In spite of the potential use of CDSS, there are some researches that reveal the failures of CDSS implementation. This paper contributes to CDSS development by investigating and exploring CDSS success factors with usability testing. The testing involves participants from different types of backgrounds (physicians, IT developers, and students). The participants are being asked to experience three different CDSS to predict cardiovascular risk factors. The result of the research shows that involving different type of users give more insight to design process. It can be concluded that user center design is very critical to produce successful CDSS.
Highlights
The background of this research starts from the widespread development and use of information technology to support decision making in the health field, called as: Clinical Decision Support System (CDSS)
This study aims to find out the understanding of CDSS from the perspectives of physicians as well as understanding from the information technology staffs
We investigate the public’s understanding of clinical decision support system
Summary
The background of this research starts from the widespread development and use of information technology to support decision making in the health field, called as: Clinical Decision Support System (CDSS). This study aims to find out the understanding of CDSS from the perspectives of physicians (such as: doctors and prospective doctors/medical faculty students) as well as understanding from the information technology staffs (such as: IT developers, lecturers and students of information technology department). The physician/medical staff is chosen as representative of the experts from the content, i.e. health perspectives, while IT developers as the representatives of expert who develop the CDSS. The focus of CDSS application in this study is for the detection of chronic diseases, i.e.: cardiovascular disease. In this paper we compare three CDSS to predict cardiovascular risk using usability testing. Those three CDSS have different interface and indicators to perform calculation of cardiovascular risk factors
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