Show simple item record

dc.contributor.author Abdel-Rahman, Mohammed
dc.date.accessioned 2019-05-10T18:38:10Z
dc.date.available 2019-05-10T18:38:10Z
dc.date.issued 2018-04-27
dc.identifier.uri http://hdl.handle.net/2022/23030
dc.description.abstract What 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) en
dc.language.iso en en
dc.subject topic modeling en
dc.subject text mining en
dc.subject data collection en
dc.subject data preparation en
dc.subject patient-centered care en
dc.subject patient portals en
dc.subject patient health records (PHR) en
dc.subject engagement en
dc.subject Epic en
dc.title What are the Gaps in Mobile Patient Portal? Mining Users Feedback using Topic Modeling en
dc.type Presentation en


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search IUScholarWorks


Advanced Search

Browse

My Account

Statistics