How artificial intelligence revitalizes care with remote patient monitoring – zimo news

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Once we close the pandemic chapter, there will be a lot of disruption. But one thing has become clear: our healthcare system is ready to be disrupted. The COVID-19 pandemic has wreaked havoc on our world, but it has also accelerated the adoption of telehealth as a safe alternative to in-person appointments. One area of ​​telehealth that has gained a foothold over the past few years is remote patient monitoring.

Let’s see what remote patient monitoring is and how artificial intelligence can save the world again.

The Basics of Remote Patient Monitoring

Remote patient monitoring (RPM) is a growing area in the healthcare industry that uses technology to collect patient data outside the traditional doctor’s office or hospital. RPM can be used to collect a variety of patient data, including vital signs, activity levels, and more.

according to Fortune Business InsightsThe global market for remote patient monitoring devices is expected to exceed $101 billion by 2028. Rising prevalence of chronic diseases such as diabetes, cardiovascular disease, is driving the market forward and contributing to the increasing popularity of RPM software.

Benefits of Remote Patient Monitoring

Remote patient monitoring is an effective way to monitor a person or group of people who cannot be monitored in person. In some cases, remote monitoring can be used to track a person’s vital signs, such as blood pressure or pulse. Remote patient monitoring can also be used to monitor patients at risk for hypothermia or other medical conditions that require ongoing attention.

save costs

The savings potential of the RPM solution is enormous. thereby, 69% of healthcare professionals RPM is the number one overall cost reduction factor.

Remote patient monitoring allows patients to receive a professional diagnosis without wasting time and money traveling to the hospital or clinic where they are being treated. Additionally, remoting results in:

  • Optimize time with patients (no need to enter vital signs and routine questions since data is already available)
  • Communication has improved due to the increased accessibility of the RPM solution.

Improve patient safety

During the pandemic, hospitals have become ground zero for the spread of infectious diseases. Hence, making an appointment online has become one of the safest options for getting professional advice. With remote patient monitoring, doctors and nurses can monitor patients from home, preventing individuals from contracting anything in the hospital.

quality of care

Remote patient monitoring also helps improve the quality of care, as it allows nurses and doctors to monitor patients’ vital signs without visiting them in person. Access to this information could also lead to better treatment for people with chronic conditions, as they can be followed up more frequently.

better patient outcomes

Because doctors and nurses can monitor the data 24/7, it increases the chances of better adherence to treatment. Patients can also live more independently and become more involved in their care.

Improve access to healthcare

Finally, remote patient monitoring reduces inequities associated with traditional healthcare. Online monitoring solutions can also provide remote consultation and monitoring for people in rural areas.

How does RPM work?

There are many RPM systems on the market and they come in all shapes and sizes. Some RPM systems are stand-alone devices, while others integrate with existing electronic health records (EHRs). But what all RPM systems have in common is the ability to collect patient-generated health data, which is then sent to a healthcare provider for monitoring.

RPM solutions provide home telehealth capabilities that can be integrated into:

  • Autonomous medical measurement equipment (patches, blood glucose, pulse oximeters, etc.)
  • Implantable devices (eg, cardiac implantable electronic devices (CIED))
  • Digital platforms enable continuous 24/7 patient monitoring and support, including telehealth.

Typically, RPM solutions are connected to the cloud, enabling compliant data sharing and seamless access to patient data.

The following is a step-by-step process for providing patient vital signs to a healthcare provider from RPM software:

  • A patient registers with the system so that the system can authenticate a specific device.
  • The system initiates monitoring and data collection through medical devices.
  • The device collects data and transmits it to an RPM server or cloud.
  • Algorithms analyze patient data and the system generates reports and visualizations.
  • The doctor visits the visualization and follows the corresponding action, whether it is adjusting the course of treatment, changing the treatment plan or any other follow-up action.

How artificial intelligence can help telemedicine

The significant impact of artificial intelligence on healthcare is driving the growth of the artificial intelligence market.By 2030, AI in healthcare market is expected to surpass $187 billion.

The potential of AI is also manifested in telemedicine and remote monitoring. As a result, AI-based technologies have transformed RPM solutions from simple data aggregators to advanced data analytics platforms. Combined with analytics, the RPM platform enables physicians to integrate patient data into clinical workflows, generate accurate predictions, and flag individual patients at risk.

As a result, AI can enable data-based proactive care and more personalized treatment approaches. Now let’s see where AI really is.

diagnosis

according to Los Angeles County Department of Health Services, telemedicine monitoring for diabetic retinopathy reduced approximately 14,000 patient visits. If we add AI to the screening phase, the number of visits and patient wait times should be further reduced.

As a result, machine learning classification algorithms can analyze patient data from RPM solutions and flag patients at risk for certain diseases.Patients can also download medical pictures To secure servers and AI-based image recognition can detect anomalies without professional help.

treatment plan

AI has also proven useful in precision medicine. The AI-driven system compares a patient’s medical images to a database of high-quality treatment plans created by certified experts. It then combines this information with personal health data to generate a personalized treatment plan.

according to IBMExpert systems can also group patients by similar treatment responses to generate the best treatment plan.

patient participation

Getting patients to stick to their medication or make an appointment in a timely manner is another role of AI in remote patient monitoring. By analyzing software data, AI can be used to generate action items, including appointment reminders, follow-up actions, and more. Powered by AI and NLP, chatbots are essential for automating communications and better access to care.

chronic disease management

The complexity of chronic disease management has been uncharted territory for the healthcare industry. However, AI can prevent chronic diseases such as diabetes, cancer and kidney disease by identifying early signs of these diseases in patient data.Therefore, the algorithm can identify chronic kidney disease patients Stages and the presence of acute kidney injury.

AI and remote patient monitoring: the perfect alliance

Remote patient monitoring is an integral iteration of the traditional healthcare system, enabling professional diagnosis and treatment for everyone. Artificial intelligence enters the RPM software to enhance its data processing capabilities, making it a viable tool to complement offline processing. AI drives effective disease diagnosis, personalized treatment, and disease prevention to improve patient outcomes and proactive treatment.

Featured Image Credit: Author provided; thank you!

Pavel Tanziura

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