Learn How AI Can Boost Care Via Remote Patient Monitoring

There are many interferences that will need to be considered once the pandemic is over. One thing is obvious – disruption is imminent in our healthcare system. Although the COVID-19 outbreak has caused widespread destruction in our world, it has also increased the popularity of telehealth as a safer alternative to visits to the doctor. Remote patient monitoring is an area of Telehealth that has grown in popularity over the past two decades.

Let’s look at what remote monitoring of patients is, and how artificial intelligent saves the day.

Basics for Remote Patient Monitoring

Remote patient monitoring (RPM), which is a rapidly expanding field in the healthcare industry, makes it possible to collect patient data without the need for a traditional doctor’s visit or hospital. RPM is a way to gather a wide range of patient data, such as vital signs, activity levels, etc.

Fortune Business Insights estimates that the global market for remote patient monitoring devices is expected to reach more than $101 million by 2028. RPM software has been growing in popularity due to the increasing prevalence of chronic conditions such as diabetes and heart disease.

Remote Patient Monitoring has Many Benefits

Remote patient monitoring allows you to monitor people or groups of people who cannot be monitored in person. Remote monitoring may be used in some instances to track vital signs such blood pressure or pulse rate. Remote patient monitoring can also help monitor patients who are susceptible to hypothermia or have other medical conditions that require constant attention.

Cost savings

RPM solutions can save you a lot of money. RPM was thus ranked #1 by healthcare professionals in terms of overall cost reduction.

Remote patient monitoring gives patients the ability to obtain professional diagnostics without needing to travel to the clinic or hospital where they will be treated. Remote treatment also allows for:

Maximized time spent with patients (no routine vitals and no questions as the data already exists).

You can communicate better thanks to RPM solutions’ increased accessibility.

Patient safety increased

Hospitals became the hub of infection during the pandemic. Online consultations have become the safest way to get professional advice. Remote patient monitoring is a way for doctors and nurses monitor patients from anywhere in the world. This prevents them from being hospitalized.

High quality of care

Remote patient monitoring can improve the quality of care by allowing nurses and doctors to monitor a patient’s vitals from a distance. Patients with chronic conditions may be able to get better treatment by having this information at their fingertips.

Better patient outcomes

The ability for nurses and doctors to access patient data 24 hours a days increases the chances of patients adhering to treatment. Patients can also be more independent and involved in their own treatment.

Accessible healthcare has improved

Remote patient monitoring helps to reduce inequalities inherent in traditional healthcare. Remote consultations can also be made via the internet for those living in rural areas.

How does RPM function?

There are many RPM systems available on the market. Some RPM system can be used on their own, while others can integrate with EHRs. RPM systems all have one thing in common. They can collect and transmit patient-generated health information to healthcare providers for monitoring.

RPM solutions include telehealth capabilities for homecare that can be embedded in:

Stand-alone medical devices such as pulse oximeters and blood glucose concentrations (patches), etc.

Implantable devices (e.g., Cardiac Implantable Electronic Devices (CIEDs))

Digital platforms for continuous monitoring and support of patients 24/7, including via telehealth.

RPM Solutions connect to the cloud most often, allowing for data sharing that is compliant and seamless access of patient data.

Here’s how to transfer a patient’s vitals via RPM software from the healthcare provider.

Registering to the system allows the system to authenticate a device.

The system will initiate monitoring and data collection through a medical device.

The device collects and sends data to an RPM Server or the cloud.

Algorithms analyze data from patients, and the system generates visualizations and reports.

The doctor will access the visualization and take the appropriate actions.

How artificial Intelligence can be used to improve telehealth

The AI market is growing due to its significant impact on healthcare. Artificial intelligence will be a major part of the healthcare market by 2030.

The AI potential also shows up in remote monitoring and telehealth. AI-driven technologies made RPM Solutions more than just data aggregators. It is now an advanced data analytics platform. RPM platforms are a combination of analytics and patient data. They allow physicians to integrate patient records into clinical workflows, create accurate predictions, flag patients at high risk, and alert them when necessary.

Artificial intelligence, therefore, enables proactive healthcare and more customized data-driven treatment methods. Let’s take a look at the place where machine intelligence is most useful.


According to the L.A. County Department of Health Services telehealth monitoring of diabetic eye disease reduced visits by about 14,000 patients. Artificial intelligence will be used at the screening stage to decrease patient wait time and reduce the number visits.

Machine learning classification algorithms can use RPM software to analyze patient data to identify patients at risk. Patients can also upload medical photos to secure servers. AI-based images recognition can spot anomalies with no professional assistance.

Treatment plans

Precision medicine is another area where artificial intelligence has been a great help. The AI-powered system compares patients’ medical images to a database of high quality treatment plans that have been created by certified specialists. These insights are combined with patient health data to create a personalized treatment program.

IBM states that expert systems can be used to group patients according to similar responses to treatment in order to determine the best treatment.

Patient engagement

AI in remote patient monitors can also be used to help patients adhere to their medication schedules or make appointments. AI can generate action plans by analysing software data. Chatbots are a vital tool for improved communication and access to care, thanks to AI and NLP.

Management of chronic illness

Complexities of managing chronic diseases have been an unknown territory for healthcare professionals. AI can spot early signs in patient data and help prevent chronic diseases, such as cancer, diabetes, and kidney disease. Algorithms can be used to identify CKD patients based both on the stage and the presence or absence of acute kidney injury.

Remote patient monitoring via AI and AI: It’s a match made for heaven

Remote patient monitoring allows professionals to diagnose and treat patients remotely. RPM software can be enhanced with artificial intelligence, which will allow it to process more data and make it a tool that complements other offline treatments. Artificial intelligence helps improve patient outcomes, preventive treatment, and disease diagnosis.