Integration of RPM data analytics can enable providers to detect risk factors in patients' illnesses and identify bad occurrences. Providers can use this to frighten nurses and carers into responding sooner and assuring better outcomes. Furthermore, we may use advanced RPM analytics to predict readmissions and take the appropriate steps to reduce them. Remote patient monitoring data is typically in high volumes, and clinical data analytics integration filters the data to extract relevant insights to identify potential dangers and opportunities for improvement. This knowledge enables carers to prevent readmissions, provide timely care, and enhance patient outcomes.