Managing chronic pain is challenging, requiring innovative solutions. This study proposes a cloud-based remote management system using machine learning (ML) to improve outcomes. Inputs include wearable device data, electronic health records, and patient-reported outcomes. The system integrates support vector machines (SVM) for classification and recurrent neural networks (RNN) for sequential data analysis, enabling personalized treatment plans. Predictive analytics help identify patients needing extra support and anticipate acute pain episodes. The approach provides data-driven, individualized care, enhancing outcomes while reducing healthcare costs.