Remote Patient Monitoring Users to Reach 115 Million by 2027

Remote Patient Monitoring Users to Reach 115 Million by 2027

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The total number of patients using RPM (Remote Patient Monitoring) solutions will reach 115.5 million globally by 2027, equating to 1.4% of the total population, according to Juniper Research. This is an increase from only 75 million in 2023.

This growth of 67% is driven by greater pressure on healthcare systems, including clinical staff shortages and limited space within hospitals, driving the need for alternative healthcare solutions. RPM enables care to be moved outside of overstressed healthcare facilities; boosting healthcare providers’ efficiency. RPM solutions encompass a variety of health monitoring devices that enable continuous communication between patients and healthcare providers, without the need for close contact.

The research predicted that by 2027, there will be 90 million cardiac patients using RPM solutions. Given the high global prevalence of cardiac conditions, the report recommended that healthcare providers use RPM solutions to monitor the heart rate and blood pressure of cardiac patients at home to lower the number of patients in hospitals. RPM solutions will also indirectly decrease disease transmission rates and alleviate pressure on healthcare systems by reducing the demand for hospital beds.

“There are a variety of connected devices that can be used for cardiac patient monitoring, for example, blood pressure and heart rate monitors, which can be challenging for less technologically literate patients. Vendors must prioritize device simplification through software improvements, whilst also incorporating patient education to improve healthcare outcomes,” remarked research author Cara Malone.

The report urged healthcare service providers to fully leverage the data generated by the increase in the adoption of RPM devices. To maximize the benefits, it recommended that RPM services fully incorporate AI within their solutions to enable healthcare professionals to improve the efficiency of medical triage processes through a predictive proactive healthcare provision model.

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