BOOK APPOINTMENT: PATIENTS SELECT A DATE AND TIME TO BOOK AN APPOINTMENT
1RUCHI UCHIBAGLE
1PG SCHOLAR
DEPARTMENT OF COMPUTER SCIENCE
G.H RAISONI UNIVERSITY AMRAVATI, INDIA
Received on: 11 May ,2024 Revised on: 18 June ,2024 Published on: 29 June ,2024
ABSTRACT— The increasing demand for accessible and efficient healthcare services has led to the development of digital solutions aimed at improving patient-doctor interactions and streamlining appointment scheduling processes. This research paper presents the design, implementation, and evaluation of a doctor appointment portal module as part of a larger healthcare system project. The portal facilitates appointment booking for patients and appointment management for doctors, with the overarching goal of enhancing healthcare accessibility and efficiency. Through a comprehensive literature review, we identify the benefits and challenges associated with doctor appointment portals, emphasizing the importance of user experience design, security, and interoperability. The implementation of the doctor appointment portal module incorporates features such as user authentication, appointment booking, doctor availability management, notification systems, and feedback mechanisms. Key insights and lessons learned from the project include the critical role of user-centric design principles, robust security measures, and the potential for future integration with emerging technologies such as artificial intelligence and telemedicine.
Index Terms – Deep Learning, Machine Learning, CNN, Image classification, Brain disease, MRI classification.
Doi Link – https://doi.org/10.69758/GIMRJ2406I8V12P110
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