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Predictive analytics is a powerful force in redefining Remote Patient Monitoring (RPM), harnessing the potency of data-driven algorithms, deep learning, and artificial intelligence. By 2028, the healthcare predictive analytics sector is poised for an explosive growth of over 22%. RPM incorporates vital elements such as real-time data acquisition, patient alerts, and telehealth consultations, and when predictive analytics is combined with RPM, the potential for business growth is significantly amplified. Predictive modeling techniques are transforming the paradigm from passive observation to proactive intervention, and there are two distinct approaches underpinning these techniques.
