Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/138515
Title: medTrack : a medication and appointment adherence system
Authors: Tan, Felice Yu Ting
Keywords: Engineering::Computer science and engineering
Issue Date: 2020
Publisher: Nanyang Technological University
Project: SCSE19-0422
Abstract: 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.
URI: https://hdl.handle.net/10356/138515
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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