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ZENODO
Article . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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Online Hospital Appointment Booking System

Authors: Anjali K S, Aishwarya R, Archana M, Bhagyeshree and ManasaSundeep;

Online Hospital Appointment Booking System

Abstract

ABSTRACT Nowadays hospitals are very busy and number of patients is increasing day by day. Because of this, appointment management becomes a big problem. In many hospitals, booking appointment is still done manually and this creates lot of issues. Patients have to wait long time, sometimes appointment details get wrong, and doctors also waste time. This makes hospital work slow and patients feel uncomfortable. This study talks about different research works related to hospital appointment systems. Most of the studies show that old paper-based systems are not useful anymore. So hospitals are moving to online appointment systems. These systems help patients to book appointments easily using mobile or computer. Doctors can also manage their schedule properly. Some systems even share patient load with nearby hospitals to reduce crowd. Different software tools like PHP, Java, MySQL and cloud systems are used to develop these platforms. Features like reminder messages help patients remember their appointments. During COVID time, online appointment systems helped a lot because people avoided standing in long lines and crowd. Overall, digital appointment systems make hospital work easier. Keywords: Online Hospital Appointment System, Patient Scheduling, Digital Healthcare Management, Hospital Management System (HMS), Appointment Booking, Doctor Availability, Web-based Healthcare Application, Patient Satisfaction

Keywords

Online Hospital Appointment System, Patient Scheduling, Digital Healthcare Management, Hospital Management System (HMS), Appointment Booking, Doctor Availability, Web-based Healthcare Application, Patient Satisfaction

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average