Abstract

Purpose: In the present healthcare system, it is important to provide personalized healthcare to patients. Therefore, the aim of this study was to examine the effect of system responsiveness, clinical decision support system, perceived AI diagnostic accuracy, and clinical decision quality on the effectiveness of personalized digital health systems. The study also explored the moderating effect of patient e-health literacy and the mediating role of clinical decision quality. Design/ method/ approach: Quantitative research approach was employed in this study. Data were collected in the form of a questionnaire using simple random sampling. The respondents of the study were doctors. Collected data were analyzed using AMOS. Findings: Findings of the research show that system responsiveness, clinical decision support system, and perceived AI diagnostic accuracy have a positive effect on clinical decision quality. Moreover, statistical figures confirmed the direct effect of clinical decision quality on the effectiveness of personalized digital health systems. The mediating effect of clinical decision quality and the moderating role of patient e-health literacy are also supported. Originality: This research is among the few that have studied the mediating effect of clinical decision quality and the moderating role of patient e-health literacy within a single framework.