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How is AI applied in telemedicine and remote patient management?

AI enables scalable, high-quality remote care through intelligent triage, monitoring, and intervention. Virtual triage systems assess symptom severity using natural language processing of patient descriptions, vital signs from connected devices, and medical history to determine appropriate care levels: self-care, virtual visit, urgent care, or emergency department. This reduces unnecessary ER visits by 20-30% while ensuring high-risk patients receive immediate attention. Remote monitoring integrates wearables, home sensors, and patient-reported data into AI analytics platforms. Chronic disease management programs use AI to track blood pressure (hypertension), glucose (diabetes), weight and symptoms (heart failure), and lung function (COPD), alerting clinicians when intervention is needed before acute exacerbations requiring hospitalization. AI-powered chatbots provide 24/7 patient support: answering medication questions, providing self-care guidance, collecting symptom updates, and escalating concerns to human clinicians when necessary. Behavioral health applications use AI for cognitive behavioral therapy, mood tracking, and crisis detection. Virtual visit enhancement includes AI transcription, automated documentation, real-time clinical decision support, and post-visit care plan generation. Computer vision analyzes patient appearance during video calls, detecting signs of distress, edema, or respiratory difficulty. Impact includes 40-60% reduction in readmissions for remotely monitored patients, improved medication adherence, early intervention preventing costly hospitalizations, and access to care for rural and underserved populations lacking local specialists.