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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 11, 2017.
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.
Vitri Tundjungsari, Abdul Salam Mudzakir Sofro, Ahmad Sabiq and Aan Kardiana, “Investigating Clinical Decision Support Systems Success Factors with Usability Testing” International Journal of Advanced Computer Science and Applications(IJACSA), 8(11), 2017. http://dx.doi.org/10.14569/IJACSA.2017.081168
@article{Tundjungsari2017,
title = {Investigating Clinical Decision Support Systems Success Factors with Usability Testing},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.081168},
url = {http://dx.doi.org/10.14569/IJACSA.2017.081168},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {11},
author = {Vitri Tundjungsari and Abdul Salam Mudzakir Sofro and Ahmad Sabiq and Aan Kardiana}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.