Design and Development of an AI-Powered Online Doctor Consultation and Booking System
Keywords:
Healthcare Management System, Digital Health Platform, Appointment Scheduling Efficiency, Chatbot Symptom Analysis, MERN Stack Development, Telemedicine IntegrationAbstract
The Healthcare Management Platform is a web-based E-Health Center created under the MERN stack (MongoDB, Express.js, React.js, Node.js) to promote the accessibility and efficiency of healthcare. This paper is a quantitative study aiming to measure the system performance in relation to the user engagement metrics, the rate of successful booking of appointments, the accuracy of chatbots response, and the ability of the system to handle loads. The platform facilitates the interaction between patients and doctors by offering a simple system of booking appointments, a chatbot to analyze the symptoms, and a role-based dashboard to doctors, patients, and administrators. In pilot usability test which included 200 users, the system was found to have a reduction in the time spent in scheduling an appointment by 73 percent over the traditional phone-based systems. When the chatbot was tested against medical databases, the accuracy rate of the symptom-based recommendation was 87%. Moreover, the average response time of the server was 320ms when the simulated load of 5,000 users became active simultaneously, which indicates the scalability of the platform. It was also revealed that the research recorded a 42% growth in patient engagement in terms of repeated platform use and number of interactions per session. Security tests established that it is 99.8 percent effective against the general cyber criminal attacks, assuring data privateness. Moreover, 91 percent of respondent users had a positive user experience, which mentioned simplicity of use, simplified information and reduced time of waiting. These findings indicate the potential of the platform in ensuring access to healthcare and enhance efficiency with a digital transformation. The further development of the work will be aimed at AI-based diagnostics, the integration of telemedicine, and the safety of patient data on a blockchain platform to expand the capabilities of the platform. The results highlight the importance of healthcare solutions based on technologies in enhancing patient outcomes and efficiency in the functioning of a modern healthcare ecosystem.
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