What are the Gaps in Mobile Patient Portal? Mining Users Feedback using Topic Modeling

dc.contributor.authorAbdel-Rahman, Mohammed
dc.date.accessioned2019-05-10T18:38:10Z
dc.date.available2019-05-10T18:38:10Z
dc.date.issued2018-04-27
dc.description.abstractWhat are the Gaps in Mobile Patient Portal? Mining Users Feedback using Topic Modeling Patient portals are positioned as a central component of patient engagement through the potential to change the physician-patient relationship and enable chronic disease self-management. In this research, we extend the existing literature by discovering design gaps for patient portals from a systematic analysis of negative users’ feedback from the actual use of patient portals. Specifically, we adopt topic modeling approach, LDA algorithm, to discover design gaps from online low rating user reviews of a common mobile patient portal, EPIC’s mychart. To validate the extracted gaps, we compared the results of LDA analysis with that of human analysis. Overall, the results revealed opportunities to improve collaboration and to enhance the design of portals intended for patient centered care. (From FSC 2018 program)
dc.identifier.urihttps://hdl.handle.net/2022/23030
dc.language.isoen
dc.subjecttopic modeling
dc.subjecttext mining
dc.subjectdata collection
dc.subjectdata preparation
dc.subjectpatient-centered care
dc.subjectpatient portals
dc.subjectpatient health records (PHR)
dc.subjectengagement
dc.subjectEpic
dc.titleWhat are the Gaps in Mobile Patient Portal? Mining Users Feedback using Topic Modeling
dc.typePresentation

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