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Remote Patient Monitoring System Tops The List Of HealthCare 2023 Agenda

Remote Patient Monitoring In Conjunction With Artificial Intelligence; A cross Road For Personalized Healthcare

Photo by Author using Wonder Digital Art

The Remote Patient Monitoring system (RPM) concept has been a recent phenomenon. However, the advances in healthcare technology highlight the particular attention it has received during the COVID-19 pandemic.

The term Remote Patient Monitoring system generally implies the utility of electronic sensors and instruments with personal health and medical data recording capabilities.

The RPM involves the use of interconnected devices which collect from one location and transmit to another for review by a clinician. Nevertheless, the transmission of that data may or may not be instantaneous in real-time.

The types of sensors and data the Remote Patient Monitoring system operates are limitless. However, it commonly includes anything from weight scales, data-driven from blood pressure to mental and behavioral monitoring for patients suffering from disorders like dementia and Parkinson's.

With the emergence of better communication technologies like 5G and Wi-Fi 6 devices in the past two years RPM system is seeing a parallel surge across the globe.

Shift In Point Of Care And Emergence Of Patient Engagement Is A Fair Driver For Remote Patient Monitoring System

The possibility of Remote patient monitoring in conjunction with a Telehealth system is a symbiotic phenomenon that helps improve the quality of medical services delivered, improves patient compliance and satisfaction, and ultimately reduces healthcare costs.

The RPM allows uninterrupted continuity of care and close patient monitoring options for patients with acute and chronic conditions. More so, it saves patients' travel time and costs to the clinic.

With Remote Patient Monitoring Systems, clinicians can closely monitor High blood pressure, Diabetes, Weight loss or gain, Heart conditions, Chronic obstructive pulmonary disease, Sleep apnea, and Asthma. Physicians can do so using digital Weight scales, Pulse oximeters, Blood glucose meters, and Blood pressure monitors.

Furthermore, Remote Patient Monitoring Systems allow connection and data transmission of more complex devices such as Apnea monitors, Heart monitors, Specialized monitors for dementia and Parkinson's disease, Breathing apparatuses, and Fetal monitors during pregnancy.

The Key Components Of Remote Patient Monitoring System

Remote Patient Monitoring System is also known for Telemonitoring and In-Home Monitoring systems. It helps reduce hospital readmissions by 38%, reduce emergency room visits by 25%, improve patient satisfaction by 25%, cut care costs by 17%, and improve compliance with medication by 13%.

The RPM system has four components; a personal medical device or sensor typically connected to the network via a Bluetooth module, a patient mobile app, a cloud repository, and clinic facility-side receiver software.

Telemedicine And Patient Monitoring systems Now Meet the Precision Of Artificial Intelligence!

Artificial Intelligence (AI) sees and monitors things not typically visible to human eyes and mind. The technology does so through machine learning or shadow learning from human decision-making and written algorithm.

The sundry AI-related technologies in healthcare include medical image analysis and the cost-effective development of better medications. They also quickly analyze vast amounts of unstructured data and predict chronic disease events and behavior.

Artificial intelligence, particularly Remote Patient Monitoring, also allows behavior surveillance. The latter procedure combines big data analytics and AI to identify patterns, anomalies, and other information in patients' daily lives.

The utility of AI as a behavior monitoring agent allows 24/7 oversight of a patient, thus reducing errors, something that is inefficient given traditional RPM systems.

Remote Patient Monitoring deals with billions of data points when dealing with AI. However, the significant challenge for tapping into those data sets is the privacy and data ownership concerns, as most are locked into corporate silos in Electronic Health Records, Faxes, the Payer, or Clinical notes.

Despite intricacies, Remote Patient Monitoring occupies a key spot in medicine. Other than Telehealth, even other forms of cameras and AI are revolutionizing medical care delivery. Those are technologies such as Infrared, X-ray, and Ultraviolet.

Artificial intelligence incorporated RPM system’s role expands from physical classification to chronic disease monitoring and alert system in emergency backdrops.

The AI also enhances the Remote Patient Monitoring utility by detecting deterioration early and personalizing individuals' health parameters by learning their behavior. Thus, by understanding those behaviors, the system will continually help implement strategies to reinforce healthy habits and comply with physician recommendations.


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