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Senior Citizen Day Care Management Application for Nursing Staff

Abd. Kadir, Amira Natasya Farahana (2013) Senior Citizen Day Care Management Application for Nursing Staff. Universiti Teknologi Petronas.

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Manage2Care is a mobile application in which is inspired to help the senior citizen. Nursing home is the place where many senior citizens that will be located or stayed at a shelter place and this is the place where trained staffs need to care for them. However, the staff might probably encounters or face difficulties such as overloaded with loads of work and they might not do the work in time. Apart from that, for some reasons the house management need to estimate the time for each of the senior citizen to accomplish their daily routine in the nursing home. These types of constraint will certainly cause the job done with the lack of effectiveness and efficiency reasons. To encounter this problem, the author comes up with the idea of a health-based management tool to help in managing the senior more efficiently and effectively. Some important features in this application consist of the application in which can save the senior citizen data that include medicine details and doctor appointment detail. Secondly, the application can forward the reminder to the management. In order to remind them, they need to save the important date at the application. The completion of the project is to be developed with Rapid Application Development methodology, the reason for using RAD is due to its own flexible and suitable applications to be developed in short duration of the time. Once the application has been completed, the prototype could be tested by the nursing staffs in nursing home. After the completion of prototype testing, the author acquires knowledge whether either this application will achieve the objectives of the project. Based on the user evaluation, 63.64% agree this application help them to completing the jobs.

Item Type: Final Year Project
Academic Subject : Academic Department - Electrical And Electronics - Instrumentation and Control - Intelligent System - Predictive Model for Reformer Tube
Divisions: Sciences and Information Technology > Computer and Information Sciences
Depositing User: Users 2053 not found.
Date Deposited: 28 Feb 2014 11:48
Last Modified: 25 Jan 2017 09:38
URI: http://utpedia.utp.edu.my/id/eprint/13542

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