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RPM is set to grow at a good pace and act as a key enabler for outcomes based medicine
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The focus of this report is on clinical-grade Remote Patient Monitoring (RPM). RPM is a digital solution that involves secure transmission of medical data collected on devices, via information and communication technologies, through text, sound, images or other forms needed for the prevention, diagnosis, treatment and follow-up of patients. Health systems in Europe are facing several challenges, including the growing incidence of chronic diseases and an ageing population. As a result, healthcare costs are rising. In addition, healthcare personnel are being over-utilized. The burden of chronic disease burden is creating unprecedented stress on primary care because patients are coming in to clinics more often than in the past. Patients are having issues with their adherence to treatment protocols and medications. Ageing populations are adding to the chronic disease burden and also increasing strain on emergency care centers and assisted living centers. In addition to these two consumer segments, a third segment includes transitional care patients - those high-risk patients who are shifting from high dependency units such as the ICU to wards and to homes. These patients need to be monitored continuously, but a low nurse to patient ratio makes it difficult to continuously monitor them. In order to tackle the burden of these three consumer segments, health systems are looking at radically transforming their healthcare service delivery and approaches by using digital tools such as RPM and other forms of telehealth. RPM is an enabler that supports the shifting of the center of care from the hospital to the home. This reduces pressure on primary and secondary care units. While the benefits of RPM are clear, certain deterrents slow down the uptake of RPM. These are the lack of clear reimbursement policies and unclear trust about the accuracy and data privacy of data generated remotely. The new-age concepts of The Internet of things (IoT), artificial intelligence (AI), and bi
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