How AI Powered Remote Patient Monitoring Can Improve Healthcare?

How AI Powered Remote Patient Monitoring Can Improve Healthcare?

The ability to provide vital care to vulnerable people in their homes has been crucial and lifesaving throughout the pandemic. When COVID-19 began, healthcare organizations sought. This newer approach to modern Healthcare allows for real-time monitoring and treatment of patients' daily health at home and significantly reduces the burden of outpatient hospital visits. Remote health monitoring device manufacturers to assist in managing patient care outside conventional care venues because resources were limited and unnecessary appointments had been postponed.

At-home care became a reality due to the quick transition to telehealth and the rapid uptake of Remote Patient Monitoring (RPM).By enabling healthcare professionals with IOT based & AI-powered clinical grade remote health monitoring & diagnostic solutions, acute and chronic illnesses can be cured with complete care.

Clairvoyance Tech is a renowned tech manufacturing company building health monitoring devices to accurately measure and store critical health data. They have two models called Gen-1 and Gen-2.

Change Brought by AI-Powered Remote Patient Monitoring Can Improve Healthcare

Although the technology may have accelerated the introduction of RPM, a substantial body of research demonstrates that it may efficiently enhance and improve care. By including RPM in a patient's care plan, physicians may keep track of a patient's vitals and health information between visits, enabling them to act quickly and alter a patient's course of therapy before their condition worsens or necessitates an expensive trip to the emergency room.

One illustration is an AI-powered virtual health assistant that understands and processes conversations appropriately by extracting facts and information using natural language processing and machine learning. AI and RPM can promote therapeutic effectiveness, improve outcomes, and increase patient adherence.

Advancements by AI-enabled RPM in Enhancing Healthcare Delivery

1. Increases Patient Adherence

Patient adherence is one of the obstacles preventing the widespread adoption of RPM. Most practitioners need more time to ensure patients are maintaining compliance, and many patients need more encouragement and drive to use RPM properly.

With AI-enabled RPM, a virtual health assistant communicates with patients via text message to remind them to take their readings and to offer support and instruction. Patient retention rises as a result of increased patient adherence.

2. Improves Patient Outcomes

Patients with chronic conditions like hypertension, heart failure, diabetes, and obesity must frequently adhere to their treatment programs, exercise routines, and medication schedules daily. Providers can spot health trends across time and between visits using AI-enabled RPM, leading to early interventions, fewer hospitalizations, and better patient outcomes. 

3. Avoids Unnecessary Hospital Visits

Reduces unnecessary ED visits and inpatient stays, ultimately lowering the cost of treatment. Supports early detection of clinical deterioration and more prompt management. The Internet of Things (IoT) and artificial intelligence (AI) are two technologies with the fastest global growth rates.

With access to this vital health information, healthcare professionals may provide better treatment with more informed clinical judgments. It has been shown through evidence that RPM can significantly enhance health outcomes, and when paired with AI, its potential is considerably more enormous. 

4. Gadgets that Can Monitor Health

IoT provides a network that connects remote devices like smartwatches, wearable patches, handheld gadgets, or biostickers to enable real-time information sharing between patients and doctors. As a result, IoT is currently a significant support for RPM. Monitoring the heart conditions of cardiac patients with in-home ECG machines is one of the most popular applications for these devices in RPM.

Wearable biomedical gadgets for monitoring vital signs are currently advancing quickly. The development of wearable biomedical devices depends on factors like low cost, low power consumption, small size, and intelligence.

5. Upgrades in ECG

An ECG sensor is provided to a patient for monitoring, and a gateway is installed in the patient's mobile or a personal digital assistant (PDA) as a standalone device at home that captures and sends the collected data to a remote server. At this point, the data is analyzed and annotated to produce a diagnostic report that is further forwarded to a point-of-care device that serves the diagnostic information to a doctor.

Such a wearable device connected with the healthcare systems on the cloud eliminates the need for invasive patient testing. It provides real-time insights about the patient's condition to the provider. This supports proactive actions in the case of complications or deterioration in health.

6. Robot Control

In special wards such as radiology and infectious wards, medical staff can also control the medical assistant robot to move to the designated bed and complete the remote nursing service to protect medical staff.

AI-based devices provide Medicare benefits to patients and service delivery advantages to various providers, including doctors, therapists, hospitals, and other health practitioners, when treating patients who have chronic or critical diseases or are in mild conditions following significant surgeries.

How Did the Sudden Growth in Medical Industry Take Place by AI?

The IoT-based RHM system primarily uses ML and AI to collect various records and datasets. On the other hand, ML techniques are widely utilized to build analytical representations and are included in a variety of healthcare service delivery models and clinical decision support systems.

The high-speed feature of 5G enables it to support 4K/8K remote high-definition consultation and high-speed transmission and sharing of medical image data. In addition, it allows experts to conduct consultations whenever and wherever they choose, improves diagnosis accuracy and guidance efficiency, and brings top-notch medical resources to patients' homes.

Use of Wearables By Senior Citizens

The two main conditions affecting the world's population nowadays mean that the general public is concerned about people's health issues. The first is that the effects of an aging population are getting worse.

Many senior individuals will have to deal with the issue of finding it challenging to receive medical care in hospitals in the future.

The second is that young people are increasingly experiencing sub-health phenomena due to today's society's fast-paced and demanding nature.

The IoT and AI provided by 5G are constantly driving novel applications in the telemedicine sector. The 5G network has recently generated a lot of attention across various vertical industries thanks to its fast speeds, robust connections, and low latency.

A comprehensive understanding of the various frameworks in smart cities is necessary to use IoT and AI for RHM systems. Underlying technologies, tools, techniques, models, layouts, use cases, and applications are all included in these frameworks.

Real-time perception of health data and continuity of medical services are just two benefits of wearable medical technology. They can monitor human life qualities and health issues in real-time, assisting individuals in understanding their bodily states and spotting signs before they become serious.

Clinical decision support systems thoroughly consider each element before recommending a specific course of therapy, lifestyle recommendations, and care plan to patients. The technology employed supports healthcare applications and analyses bodily functions such as blood glucose, heart rate, and body temperature.

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