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dc.contributor.advisorChakraborty, Joyram
dc.contributor.authorShipley, Nancy
dc.contributor.departmentTowson University. Department of Computer and Information Scienceen_US
dc.date.accessioned2019-07-31T21:40:01Z
dc.date.available2019-07-31T21:40:01Z
dc.date.issued2019-07-30
dc.date.submitted2019-05
dc.description(D. Sc.) -- Towson University, 2019en_US
dc.description.abstractAlthough technology in healthcare has increased greatly over the past decade, the user experience of the combined available resources unquestionably can be improved especially when using large datasets such as District Health Information Software 2 (DHIS2). Health care has transferred much of its platform to computer based applications such as the institution of electronic health records. However, the end users could increase their health information understanding through a platform that brings the knowledge from medical experts, smart health and wellbeing proven practices, alternative medicine and social media and data-driven material such as DHIS2. Cloud computing and big data have broadened the scope of technical offerings increasing the ultimate experience for the end users (Purkayastha & Braa, 2013). However, the potential of these technologies has not been exploited completely, particularly for health care uses. The use of enhanced visualization could increase the user experiences for healthcare best practices and implementation (Manya, Braa, Øverland, Titlestad, Mumo, & Nzioka, 2012). Employing a new frame work that could be accessed quickly via mobile devices could certainly offer the patients a better experience as they fight against diseases and sustain healthy living (Sanner, Roland, & Braa, 2012). Building on the established DHIS2 data, employing SaaS can offer a single source for patients to research medical diagnosis, smart health and wellbeing, alternative medicine and social media solutions (Garg & Garg, 2015). Through this dissertation, an empirical study has been executed to determine if customizing a User Interface of DHIS2 improves the use of data driven health information that expands the patients’ understanding of their health issues.en_US
dc.description.urihttp://library.towson.edu/digital/collection/etd/id/71189en_US
dc.formatapplication/pdf
dc.format.extentviii, 134 pagesen_US
dc.genredissertationsen_US
dc.identifierdoi:10.13016/m2f7il-smbl
dc.identifier.otherDSP2019Shipley
dc.identifier.urihttp://hdl.handle.net/11603/14410
dc.language.isoen_USen_US
dc.relation.isAvailableAtTowson University
dc.titleA usability study of a data-driven health information portal: the extensibility of DHIS2en_US
dc.typeTexten_US


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