medTrack : a medication and appointment adherence system
With the advancement in technology, the adoption of Artificial Intelligence (AI) in the various industries has revolutionized how businesses carry out their daily operations. The healthcare industry is one example whereby surgical robots were used to operate on a patient, virtual nursing assistants...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2020
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| Online Access: | https://hdl.handle.net/10356/138515 |
| _version_ | 1824453565405462528 |
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| author | Tan, Felice Yu Ting |
| author2 | Li Fang |
| author_facet | Li Fang Tan, Felice Yu Ting |
| author_sort | Tan, Felice Yu Ting |
| collection | NTU |
| description | With the advancement in technology, the adoption of Artificial Intelligence (AI) in the various industries has revolutionized how businesses carry out their daily operations. The healthcare industry is one example whereby surgical robots were used to operate on a patient, virtual nursing assistants were used to assists patients in their daily activities, and even wearable health trackers for signal detection. Furthermore, the emergence of Voice Assistant into healthcare has concluded that the three highest-value use cases are clinic documentation, remote care, and clinic support. All these technological advancements have made the industry to become the fastest growing industry in the data generation.
Today, one of the main challenges that the healthcare industry faced is medication and appointment nonadherence which has impacted the industry severely in terms of numbers of deaths and cost. Building on the Amazon Echo Show, medTrack (a medication and appointment adherence system) aims to tackle on this issue through reminding the patient of their medication and appointment schedule at the designated time.
This report documents the whole development and implementation process of the project in details. This includes describing the research findings, problem identification, project development, evaluation of the project, and lastly the conclusion to wrap up the content. |
| first_indexed | 2025-02-19T03:08:26Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/138515 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:08:26Z |
| publishDate | 2020 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1385152020-05-07T12:04:36Z medTrack : a medication and appointment adherence system Tan, Felice Yu Ting Li Fang School of Computer Science and Engineering A*STAR Institute of High Performance Computing (IHPC) Tuan Le Mau Quek Boon Kiat asfli@ntu.edu.sg; tuan@ihpc.a-star.edu.sg; quekbk@ihpc.a-star.edu.sg Engineering::Computer science and engineering With the advancement in technology, the adoption of Artificial Intelligence (AI) in the various industries has revolutionized how businesses carry out their daily operations. The healthcare industry is one example whereby surgical robots were used to operate on a patient, virtual nursing assistants were used to assists patients in their daily activities, and even wearable health trackers for signal detection. Furthermore, the emergence of Voice Assistant into healthcare has concluded that the three highest-value use cases are clinic documentation, remote care, and clinic support. All these technological advancements have made the industry to become the fastest growing industry in the data generation. Today, one of the main challenges that the healthcare industry faced is medication and appointment nonadherence which has impacted the industry severely in terms of numbers of deaths and cost. Building on the Amazon Echo Show, medTrack (a medication and appointment adherence system) aims to tackle on this issue through reminding the patient of their medication and appointment schedule at the designated time. This report documents the whole development and implementation process of the project in details. This includes describing the research findings, problem identification, project development, evaluation of the project, and lastly the conclusion to wrap up the content. Bachelor of Engineering (Computer Science) 2020-05-07T12:03:33Z 2020-05-07T12:03:33Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/138515 en SCSE19-0422 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Computer science and engineering Tan, Felice Yu Ting medTrack : a medication and appointment adherence system |
| title | medTrack : a medication and appointment adherence system |
| title_full | medTrack : a medication and appointment adherence system |
| title_fullStr | medTrack : a medication and appointment adherence system |
| title_full_unstemmed | medTrack : a medication and appointment adherence system |
| title_short | medTrack : a medication and appointment adherence system |
| title_sort | medtrack a medication and appointment adherence system |
| topic | Engineering::Computer science and engineering |
| url | https://hdl.handle.net/10356/138515 |
| work_keys_str_mv | AT tanfeliceyuting medtrackamedicationandappointmentadherencesystem |