Online reservation system for Al-Kindi General Hospital
Recently, increasing number of hospitals has been an obvious trend in many countries.This is mainly because the needs to providing medical services to increasing patients due to various forms of diseases. Such scenario needs careful attentions from the hospital management in order to provide appropr...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English English |
| Published: |
2015
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| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/15882/1/ONLINE%20RESERVATION%20SYSTEM%20FOR%20AL-KINDI%20GENERAL%20%2824%20pgs%29.pdf http://eprints.utem.edu.my/id/eprint/15882/2/Online%20reservation%20system%20for%20Al-Kindi%20General%20Hospital.pdf |
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| Summary: | Recently, increasing number of hospitals has been an obvious trend in many countries.This is mainly because the needs to providing medical services to increasing patients due to various forms of diseases. Such scenario needs careful attentions from the hospital management in order to provide appropriate services to patients. One of the important tasks to ensure efficient health care services is booking for medical appointment. With increasing number of patients, a systematic appointment booking is crucial in order to provide an accurate and fast medical treatment to patients. Conventional way of booking appointment is time consuming since it requires patients to go to the hospital, in which eventually resulting in an increase in cost and effort. To overcome such problem, the appointment booking system can be made online via the Internet. With an internet-based booking system, appointment booking can be done from anywhere and at any time without having to go to hospital, therefore is time- and cost-effective. This study develops a novel online appointment booking system for Al-Kindi Hospital in Iraq. The system is equipped with a data analysis tool which was developed using clustering technique. The tool was tested using real data from a public hospital, in which showing that the patients can be
successfully classified based on their medical information recorded from the online appointment booking system. |
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