Web-Based Appointment Booking System with SMS for the Star Wheal Medical Clinic / Allan C. Bernardo, Robert B. Abon, Carl Anthony J. Unadia, Restituto G. Villanueva.

By:

Bernardo, Allan C

Contributor(s):

Material type: Text

TextManila : Technological University of the Philippines, 2023Description: xii, 154 pages : illustrations ; 29 cm. + 1 CD-ROM (4 3/4 in.)Content type:

text

Media type:

unmediated

Carrier type:

volume

Subject(s):

LOC classification:

BTH HF 5548.2 B47 2023

Dissertation note: College of Science -- Bachelor of Science in Information Systems, Technological University of the Philippines, 2023. Abstract: Clinics play a crucial role in providing healthcare without visiting hospitals, and appointment systems, since their introduction has provided convenience. However, Clinics often face challenges such as overcrowding, lengthy process times, and manual processes. The "WEB-BASED APPOINTMENT BOOKING SYSTEM WITH SMS FOR THE STARWHEAL MEDICAL CLINIC" offers a solution to these issues. The system allows patients to book appointments from their browsers, and doctors can manage their schedules through creating or editing them. It also offers patient record management, fully automating the manual process of recording appointments using pen and paper. The system is mobile responsive and can be used on various devices with internet browsers installed. Patients can monitor their appointments, receive notifications for updates, and use a chat module for clarifications and questions. The doctor is the one who can approve and reject the appointments made by the patients. The application was evaluated by Doctors, Clinic Staff, Patients, and IT professionals. This system is developed with MERN stack which consists of od MongoDB for database Express js for framework, React js for JavaScript framework and Node js for server. The system was tested using usability and functional suitability tests. The applications were evaluated by Doctors, Clinic Staffs, Patients, and IT professionals. The results gathered from 25 respondents was the grand mean of 3.54 which means "Very Acceptable". The study showed the system increases patient satisfaction making appointments easier and the system reduces the clinic's workload.--Author's Abstract.

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Holdings
Item type	Current library	Shelving location	Call number	Copy number	Status	Notes	Date due	Barcode
Bachelor's Thesis COS	TUP Manila Library	Thesis Section-2nd floor	BTH HF 5548.2 B47 2023 (Browse shelf(Opens below))	c.1	Not for loan	For Room Use Only		BTH0003158

Thesis (Undergraduate)

College of Science -- Bachelor of Science in Information Systems, Technological University of the Philippines,
2023.

Includes bibliographical references.

Clinics play a crucial role in providing healthcare without visiting hospitals, and appointment systems, since their introduction has provided convenience. However, Clinics often face challenges such as overcrowding, lengthy process times, and manual processes. The "WEB-BASED APPOINTMENT BOOKING SYSTEM WITH SMS FOR THE STARWHEAL MEDICAL CLINIC" offers a solution to these issues. The system allows patients to book appointments from their browsers, and doctors can manage their schedules through creating or editing them. It also offers patient record management, fully automating the manual process of recording appointments using pen and paper. The system is mobile responsive and can be used on various devices with internet browsers installed. Patients can monitor their appointments, receive notifications for updates, and use a chat module for clarifications and questions. The doctor is the one who can approve and reject the appointments made by the patients. The application was evaluated by Doctors, Clinic Staff, Patients, and IT professionals. This system is developed with MERN stack which consists of od MongoDB for database Express js for framework, React js for JavaScript framework and Node js for server. The system was tested using usability and functional suitability tests. The applications were evaluated by Doctors, Clinic Staffs, Patients, and IT professionals. The results gathered from 25 respondents was the grand mean of 3.54 which means "Very Acceptable". The study showed the system increases patient satisfaction making appointments easier and the system reduces the clinic's workload.--Author's Abstract.

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