AI-DRIVEN PATIENT SUPPORT: A MACHINE LEARNING CHATBOT FOR SYMPTOM TRACKING IN IBD CARE
Keywords:
Inflammatory Bowel Disease (IBD), Symptom Tracking, AI-Driven Chatbot, Machine Learning, Chronic Disease Management, Patient SupportAbstract
Inflammatory Bowel Disease (IBD) presents complex management challenges, with patients often facing unpredictable symptom patterns and varied treatment responses. This study explores the design and application of an AI-driven, machine-learning chatbot to support IBD patients through real-time symptom tracking, personalized health insights, and predictive alerts for potential flare-ups. The chatbot’s primary features include symptom logging, medication reminders, daily health check-ins, and integration with electronic health records (EHRs) and wearable devices. By providing a user-friendly, accessible platform, the chatbot empowers patients to manage symptoms more effectively, while enabling healthcare providers to make data-driven adjustments to treatment plans. The tool aims to improve patient engagement, enhance quality of life, and streamline chronic disease management by delivering continuous, personalized care through AI technology. This study also discusses essential considerations for ensuring privacy, data security, and compliance with healthcare standards. The chatbot demonstrates a promising solution in patient-centric care, leveraging AI to bridge gaps in traditional IBD management.
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