Evaluating the Effectiveness of AI-Driven Telemedicine Platforms in Reducing Hospital

Chronic diseases such as heart failure, diabetes, and COPD remain major drivers ofhospital readmissions, adding to healthcare costs and reducing quality of life. Conventionaltelemedicine supports continuity of care but is limited by its reactive design.This study assessed the impact of AI-driven telemedicine platforms on readmission rates andpatient outcomes using a multicentre, quasi-experimental design involving 3,200 patients in theUK, Canada, and India. Patients were enrolled in either AI-enhanced telemedicine or conventionaltelemedicine programmes. The AI platforms integrated predictive analytics, wearable monitoring,and automated reminders to provide continuous risk assessment and early alerts.Findings showed lower readmission rates in the AI group compared with controls (30-day: 9.7%vs. 16.3%; 90-day: 18.1% vs. 27.4%). Patients in the AI group also reported higher medicationadherence, greater satisfaction, and improved quality of life. Economic analysis revealed a 34%reduction in per-patient healthcare costs, primarily due to fewer readmissions and emergencyvisits.Overall, AI-driven telemedicine offers a scalable, cost-effective, and patient-centred approach tochronic disease management, supporting its integration into long-term health strategies.