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Medico: Design, Development, And Validation of a Scalable Web-Based Platform for Digital Healthcare Appointment Management

Author : Prof. Biju Balakrishnan, Deep Patel, Pankitkumar Patel, Virajkumar Suthar, Dharmik Kanojia Journa Name: International Journal of Scientific Research & Engineering Trends Volume: 12 issue: 2 Year: Volume-12-issue-2 Views : 181
Abstract:
Healthcare delivery in its conventional form continues to face persistent operational hurdles — prolonged patient waiting periods, excessive administrative burden, and geographic constraints. This paper introduces MEDICO, a security-focused and patient-centred web portal engineered to establish a fluid digital healthcare environment. The platform was built using the Python Django framework, adopting a Waterfall development methodology and implementing a Model-View-Template (MVT) architecture to support dual-role access control and an intelligent appointment scheduling engine. System capabilities — including practitioner discovery, profile browsing, and automated notification dispatch — were evaluated through Unit, Integration, and System-level testing. Quantitative stress testing demonstrated complete transactional integrity while concurrently processing 50 simultaneous appointment requests, recording zero system failures or scheduling conflicts. This lays a dependable technical foundation directly combating the inefficiencies of conventional booking methods. Subsequent development phases will focus on Artificial Intelligence (AI) for personalised doctor recommendations and a fully integrated Electronic Health Record (EHR) management module.

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