Abstract
Physician review websites have become a major source of information for patients when making physician selection decisions. However, the reviews provided on those websites have shortcomings and are not highly accessible to users. Accordingly, in this research in progress, we propose a study to 1) develop an algorithm to accurately integrate numeric and narrative reviews of physicians collected from different websites, 2) develop an interactive dashboard to present the integrated reviews to users, and 3) assess the impact of using a dashboard on the efficiency and accuracy of physician selection decisions. We will employ a design science methodology followed by experimental studies. The artifacts developed as part of this study, including an algorithm and a dashboard, will potentially enable patients to make more informed, efficient, and accurate decisions. The results of the experimental studies will also help us understand the value of such user-centered dashboard systems in decision-making processes.
Recommended Citation
Kordzadeh, Nima and Motiwalla, Luvai F., "Using Analytics and Dashboard Technologies to Improve Physician Selection Decisions" (2019). Proceedings of the 2019 Pre-ICIS SIGDSA Symposium. 7.
https://aisel.aisnet.org/sigdsa2019/7