Optimizing Doctor Available and Appointment Allocating in Hospitals Through Digital Technology

The purpose of this project is to improve the efficiency of availability of doctors and hospital appointment scheduling through the use of modern technology and artificial intelligence (AI). The system has three main modules: Hospital, Doctor and Patient. The goals are to reduce the number of appointments to be performed by each doctor and reserved time slots to individual appointments to the lowest possible limit. The system has a user-friendly interface that permits the patients to search the doctors according to their area of medicine. Comprehensive information is provided by the system concerning hospitals and doctors so that patients are able to make their decisions with all the needed information. The relevant information of the doctors and patients is posted by the system to the doctors and patients after the doctor approval. One of the most important features is that for patients, the system ensures the email notification for successful appointment booking with details of the appointment such as time and name of the doctor to be seen. It is also possible for the system to provide patients with up-to-date information about free appointment slots with every doctor. The purpose of the project is to solve the problems in the schedule of the patients and doctors, improve the interaction of these two sides of the health care system, to make the best use of the time of the doctors and improve the maneuverability of services which are being offered in the health care. Keywords - Digital Healthcare, AI-powered appointment system, Patient Doctor Communication.

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-05-14
DOI
https://doi.org/10.55041/ijsrem47777
Primary Topic
Healthcare Operations and Scheduling Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimizing Doctor Available and Appointment Allocating in Hospitals Through Digital Technology

HARSHA S BIRADAR
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Healthcare Operations and Scheduling Optimization
article

Optimizing Doctor Available and Appointment Allocating in Hospitals Through Digital Technology

HARSHA S BIRADAR
article en

Abstract

The purpose of this project is to improve the efficiency of availability of doctors and hospital appointment scheduling through the use of modern technology and artificial intelligence (AI). The system has three main modules: Hospital, Doctor and Patient. The goals are to reduce the number of appointments to be performed by each doctor and reserved time slots to individual appointments to the lowest possible limit. The system has a user-friendly interface that permits the patients to search the doctors according to their area of medicine. Comprehensive information is provided by the system concerning hospitals and doctors so that patients are able to make their decisions with all the needed information. The relevant information of the doctors and patients is posted by the system to the doctors and patients after the doctor approval. One of the most important features is that for patients, the system ensures the email notification for successful appointment booking with details of the appointment such as time and name of the doctor to be seen. It is also possible for the system to provide patients with up-to-date information about free appointment slots with every doctor. The purpose of the project is to solve the problems in the schedule of the patients and doctors, improve the interaction of these two sides of the health care system, to make the best use of the time of the doctors and improve the maneuverability of services which are being offered in the health care. Keywords - Digital Healthcare, AI-powered appointment system, Patient Doctor Communication.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(05)
Openalex Percentile: Top 83%
Healthcare Operations and Scheduling Optimization
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