MEDIBRIDGE – AN INTELLIGENT HEALTHCARE NAVIGATION SYSTEM
Abstract
Chatbots powered by AI are a way to help resolve some of the problems people face when trying to get access to healthcare, especially when there are not enough qualified doctors available.MediBridge is a platform that uses AI algorithms to provide users with a predicted diagnosis based on the symptoms they report, as well as recommend the appropriate doctor or specialist for their care.The algorithm used is a Random Forest Classifier that uses a historical database of correlating symptoms and associated medical diseases to provide a prediction of the patient's possible diagnosis.MediBridge allows users to generate a secure patient-to-doctor communication through an integrated (Flask) web interface, enabling patients to create an account with MediBridge, enter symptom data, and receive a predicted diagnosis and a referral for a specialist who fits their individual care needs.Some of the features of the MediBridge platform include having doctors register with their specialties to allow the predicted diagnosis and specialist recommendation to use the provided medical specialty data in the recommendation engine to provide an appropriate referral, and a systems administration module to manage the stored data and verify the user accounts and credentials for both doctors and patients who are using the program.In addition to the core services that MediBridge provides, the platform also integrates an AI-powered chatbot based on Gemini that uses Natural Language Processing to respond to users with health-related questions, and to provide general home remedies for common health conditions.This article presents a review of the technical architecture of MediBridge in the context of the more general literature on the evolving role of healthcare chatbots and Artificial Intelligence in diagnosing symptoms, and the literature regarding the integration of telehealth services into the technical design of chatbots, emphasizing that the overall trend across these services is towards producing more accessible and specialized forms of functionality in chatbots.Through examination of these developments, the paper examines how MediBridge combines contemporary methods to provide a complete telemedicine answer while providing a conceptual evaluation of the system's predictive accuracy.MediBridge is a conceptual research tool.The diagnostic predictions and home remedies provided are for informational purposes only and do not constitute professional medical advice.
Fields of Study & Subjects
Artificial Intelligence in Healthcare
Artificial Intelligence in Healthcare and Education
Innovation in Digital Healthcare Systems
Publication details
- Journal / source
- International Research Journal of Modernization in Engineering Technology and Science
- Publication date
- 8 March 2026
- Language
- EN