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Mobile health data: investigating the data used by an mHealth app using different mobile app architectures
Mobile Health (mHealth) has come a long way in the last forty years and is still rapidly evolving and presenting many opportunities. The advancements in mobile technology and wireless mobile communication technology contributed to the rapid evolution and development of mHealth. Consequently, this ev...
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| Format: | Thesis |
| Language: | English |
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Department of Computer Science
2020
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| _version_ | 1867613325056016384 |
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| access_status_str | Open Access |
| author | Faker, Faizel |
| author2 | Suleman, Hussein |
| author_browse | Faker, Faizel Suleman, Hussein |
| author_facet | Suleman, Hussein Faker, Faizel |
| author_sort | Faker, Faizel |
| collection | Thesis |
| description | Mobile Health (mHealth) has come a long way in the last forty years and is still rapidly evolving and presenting many opportunities. The advancements in mobile technology and wireless mobile communication technology contributed to the rapid evolution and development of mHealth. Consequently, this evolution has led to mHealth solutions that are now capable of generating large amounts of data that is synchronised and stored on remote cloud and central servers, ensuring that the data is distributable to healthcare providers and available for analysis and decision making. However, the amount of data used by mHealth apps can contribute significantly to the overall cost of implementing a new or upscaling an existing mHealth solution. The purpose of this research was to determine if the amount of data used by mHealth apps would differ significantly if they were to be implemented using different mobile app architectures. Three mHealth apps using different mobile app architectures were developed and evaluated. The first app was a native app, the second was a standard mobile Web app and the third was a mobile Web app that used Asynchronous JavaScript and XML (AJAX). Experiments using the same data inputs were conducted on the three mHealth apps. The primary objective of the experiments was to determine if there was a significant difference in the amount of data used by different versions of an mHealth app when implemented using different mobile app architectures. The experiment results demonstrated that native apps that are installed and executed on local mobile devices used the least amount of data and were more data efficient than mobile Web apps that executed on mobile Web browsers. It also demonstrated that mobile apps implemented using different mobile app architectures will demonstrate a significant difference in the amount of data used during normal mobile app usage. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/31242 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:34:20.437Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | Department of Computer Science |
| publisherStr | Department of Computer Science |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/31242 Mobile health data: investigating the data used by an mHealth app using different mobile app architectures Faker, Faizel Suleman, Hussein deRenzi Brian computer science Mobile Health (mHealth) has come a long way in the last forty years and is still rapidly evolving and presenting many opportunities. The advancements in mobile technology and wireless mobile communication technology contributed to the rapid evolution and development of mHealth. Consequently, this evolution has led to mHealth solutions that are now capable of generating large amounts of data that is synchronised and stored on remote cloud and central servers, ensuring that the data is distributable to healthcare providers and available for analysis and decision making. However, the amount of data used by mHealth apps can contribute significantly to the overall cost of implementing a new or upscaling an existing mHealth solution. The purpose of this research was to determine if the amount of data used by mHealth apps would differ significantly if they were to be implemented using different mobile app architectures. Three mHealth apps using different mobile app architectures were developed and evaluated. The first app was a native app, the second was a standard mobile Web app and the third was a mobile Web app that used Asynchronous JavaScript and XML (AJAX). Experiments using the same data inputs were conducted on the three mHealth apps. The primary objective of the experiments was to determine if there was a significant difference in the amount of data used by different versions of an mHealth app when implemented using different mobile app architectures. The experiment results demonstrated that native apps that are installed and executed on local mobile devices used the least amount of data and were more data efficient than mobile Web apps that executed on mobile Web browsers. It also demonstrated that mobile apps implemented using different mobile app architectures will demonstrate a significant difference in the amount of data used during normal mobile app usage. 2020-02-24T07:47:51Z 2020-02-24T07:47:51Z 2018 2020-02-24T07:42:50Z Master Thesis Masters MSc http://hdl.handle.net/11427/31242 eng application/pdf Department of Computer Science Faculty of Science |
| spellingShingle | computer science Faker, Faizel Mobile health data: investigating the data used by an mHealth app using different mobile app architectures |
| thesis_degree_str | Master's |
| title | Mobile health data: investigating the data used by an mHealth app using different mobile app architectures |
| title_full | Mobile health data: investigating the data used by an mHealth app using different mobile app architectures |
| title_fullStr | Mobile health data: investigating the data used by an mHealth app using different mobile app architectures |
| title_full_unstemmed | Mobile health data: investigating the data used by an mHealth app using different mobile app architectures |
| title_short | Mobile health data: investigating the data used by an mHealth app using different mobile app architectures |
| title_sort | mobile health data investigating the data used by an mhealth app using different mobile app architectures |
| topic | computer science |
| url | http://hdl.handle.net/11427/31242 |
| work_keys_str_mv | AT fakerfaizel mobilehealthdatainvestigatingthedatausedbyanmhealthappusingdifferentmobileapparchitectures |