Optimizing Healthcare access: A study on Patient Appointment System by using rule based approach
Rajat Tyagi Tyagi
Paper Contents
Abstract
In a fast-paced world subject to increased pressuresand expectations, the organization of patient appointments isa strategy to improve the efficiency of healthcare services andincrease a patients experience. This research sets forth anddiscusses an overall Patient Appointment System that acts to solvethe constraints of the old methods used in scheduling wherebypeople had to wait for long periods or simply miss an appointment altogether. The system has web and mobile interfaces thatare designed for end users and make it easy for patients toreserve, change, or cancel appointments leading to easier accessof healthcare services by patients.This project has a central aimof enhancing the process of scheduling for appointment whilstlessening the workload on health care providers. Features, such asscheduling with real time look up, automated reminders in formsof messages and emails to reduced no-shows, and medical recordscontrol are included. Because the system allows for face-to-faceas well as remote appointments, it meets different requirementsand desires of patients.This study highlights the fact that thebenefits of the Patient Appointment System are two-pronged,making it possible for patients to consult through various modeswhile making it easy for health care providers to manage theircalendars.To summarize, the Patient Appointment System isanother improved technology in the medical field which works tostreamline the appointment management systems and the entiremedical process. This work also provides important perspectivesin the development of the patient approach in medicine that isclearly progressing, and where traditionally there was scope fordigital development in serving the patients better.Index TermsPatient no-show, Machine learning, Online Appointment System, Automated Remainder, Electronic Presecription
Copyright
Copyright © 2025 Rajat Tyagi. This is an open access article distributed under the Creative Commons Attribution License.