Over the past year, there has been a huge turmoil where the healthcare system has been pressurised beyond its capacity. Healthcare service providers are serving their best to monitor and restore patient health. Providing quality healthcare services to the growing population often remains challenging. Healthcare systems and hospitals are trying to rectify and align certain aspects of health monitoring activities, which can improve patient health outcomes and decrease the need for hospitalisation.
Expanding novel access to health care delivery
Not to surprise, various technological advancements have paved a way for various developments in the medical field. These advancements improved easy and safe access to healthcare services. When we have to define the factors essential for a patient-centered healthcare system, there is a great emphasis on patient-driven health care delivery. The private healthcare system is spending huge amounts to establish effective remote health care delivery.
Forecasts reveal that remote patient monitoring will spike up during the next 5 years. There has also been a noticeable rapid expansion of telehealth services over the past few years, especially in the developed and developing countries across the globe. Telehealth services have minimized the need for hospital beds and are helping low-risk patients get cured at home. Telehealth tools are directly linked to telehealth services and these play a crucial role in remote patient monitoring (RPM).
In remote patient monitoring, the performance of individual sensors and systems aligned with them play a crucial role. Increasing the robustness of such sensors and systems used for close monitoring of patient’s health is essential to minimise the chances of false alarms. To minimise such errors, there comes a need for developing higher accuracy devices, which do not show the fusion of signals that might lead to false alarms.
Remote patient monitoring – Advanced solutions from anywhere and anytime
With an alarming increase in the prevalence of chronic diseases across the globe, face-to-face or physical presence in the hospital brings in a real-time challenge to the healthcare providers. Irrespective of the availability of the physicians, chronic disease management requires multiple visits to the doctor’s office, which might be tedious for a patient. Remote patient monitoring can ease chronic disease management with seamless communication.
Remote patient monitoring, also known as telemonitoring benefits ease access to patient health remotely. The global remote patient monitoring market will witness a strong surge in the next few years. As most healthcare providers are welcoming remote patient monitoring services, there comes a rise in cloud computing and artificial intelligence solutions. RPM is helping to manage chronic diseases and is aiding to cost reduction solutions. A remote patient health monitoring system keeps the patients outside the clinical settings in the home or a remote area. With an approach to deliver advanced healthcare solutions with remote patient monitoring services, people might raise a doubt in terms of data transmission, security, and privacy of the data. Healthcare providers are concerned and abide by maintaining the privacy of patient data.
The role of artificial intelligence in remote patient monitoring ensures successful patient outcomes. Artificial intelligence (AI) supports the healthcare system in improving qualitative outcomes, which are key to providing efficient healthcare service to patients. AI-assisted imaging devices keep a check on a patient’s health and do not require the patient’s attention to identify the problem. The future of remote patient monitoring is vast where artificial intelligence plays a significant role in monitoring patient’s health which in turn helps healthcare professionals to provide faster disease management solutions.
Equipment evolution supporting the healthcare system
Technologies embedded with passive monitoring solutions are currently emerging in the healthcare systems. Passive monitoring of a patient’s health can accurately analyse the health condition, thereby alerting the need for immediate medical aid without any delay.
If we classify in terms of the devices, glucometer, blood pressure monitor, pulse oximeter, respiratory monitor are some of the devices that are placed in the priority list of remote patient monitoring. Although these do not support remote patient monitoring directly, they help provide timely telehealth services when a person is not able to reach the doctor immediately for medical assistance.
A surge in the use of fall detection devices
Sudden falls often represent a threat to your health, especially if you are an independently living older adult. In many cases, falls can lead to severe consequences like an injury or death. Because of their slow movement, elderly people might suffer from sudden falls, which might later influence their physical health.
Passive monitoring systems can accurately detect the fall and can analyze it effectively. Technological innovations are increasingly playing a significant role where self-care tools and fall detection devices are at a boom in the current market. These wearable sensor-based fall detection devices can alert personal emergencies where a patient gets access to immediate medical help.
Fall detection devices monitor the minute-to-minute health condition of a patient and allow a healthcare provider to monitor the health condition remotely. Human-computer interaction with an effective sensor-built network can address the problem of fall detection and alerts an urgent need for medical aid. Fall detection devices are employed with key features and definite algorithms that can raise an alarm instantly.
With an increasing demand for fall detection devices, numerous manufacturing companies are a part of the extensive competition that arises in the market. Each company that comes up with a fall detection device faces challenges to manufacture a flawless one with better usability and accurate results. With fall detection devices, family members and caregivers can improve the safety of older individuals at home.
In current days, there are various branded wristwatches with inbuilt fall detection sensors. These sensors can alert an individual when a person remains lying down on the floor for a longer time. It can immediately send the data to the could to which the watch or wearable is connected and sends an alarm for immediate help. The wearable devices are synchronized in a cloud data management environment, and the sensors inside the device help to measure the metrics and analyse the health parameters, such as pulse, oxygen levels, blood pressure, etc.
