Almost all data and insights about a patient’s health are lost when they leave a clinic or hospital in the traditional healthcare system. This information is only retrieved and examined when patients return for their next appointment or in an emergency. It is a chronic issue that has impacted hospital operations daily. We now have a solution, thanks to technological advancements: a remote patient monitoring system.
RPM helps in the collection and sharing of health-related data even outside of the traditional clinical context. RPM became popular as mobility and sensor technology advanced.
Are remote Patient Monitoring Systems Technologically Feasible?
When implementing the final remote patient monitoring system, it is critical to evaluate a few variables to assess the product’s technical feasibility. The following variables would determine your device’s technical feasibility:
1- Advances in Bio-Health Engineering and Mobile Device Technology
As a health professional, you must create systems that integrate patients’ specific requirements with Engineering-Technology Advancement
Wearable Wireless Sensor Networks (WSNs) are an emerging technology that is attached and incorporated into human bodies to monitor and gather information connected to their physiological parameters, motions, and surrounding environment as mobile technology advances.
2- Wireless Connectivity
Wireless communication options such as Wi-Fi, Bluetooth Low Energy (BLE), or infrared are critical considerations for the successful and economical implementation of remote monitoring healthcare Because the size of a wearable is important, wireless connection modules must be small and efficient enough to give connectivity speed and range as required by the system.
It is preferable to utilize a single consolidated connection module for Bluetooth and Wi-Fi rather than two separate modules. The modules, with their small size and best performance, should enable very dependent communication within range.
3- Engineering of Human Factors
Human factor engineering is used to create human-machine interfaces that focus on interactions between people and machines.
The essential goal of the human factor is the remote patient monitoring system. It decreased the use-related hazards and risk at a minimum level.
If you want to understand the human-machine system. It is essential to know how these devices react with user input. It also provides feedback about their reaction to users. From the user side, it knows how people understand the information received from the devices.
Also, it is important to understand the way how people manipulate the devices.
4- Solution for Data Security and Device Management
According to a recent survey, around 23% of Georgia internet households are concerned about privacy and security while utilizing linked health equipment.
Providers can surpass their competition if they work around privacy and security challenges. People use remote monitoring healthcare as end users if their system provides multi-layer security for preserving their data. If they are entirely sure that their data is private and secure.
Highly customized systems will be able to detect when an incorrect user accesses data or equipment. Biometrics—whether a retina scan, heart rate, or finger scan—will aid in the management of people accessing data on wearable devices.
5- Analytics and data collecting
To achieve the goals of the remote patient monitoring system, providers must determine the quantity of data that is sufficient for remote patient care.
With thorough research, providers must determine the data necessary for their operations as well as how the device will communicate data, either continuously or at regular intervals.
The quantity of data that the devices can store on their storage capacity. It is not enough to gather health-related data; there is also an acceptable storage facility.
6- Standards, Platforms, and Ecosystems
Continua Health Alliance is a non-profit that creates design principles based on worldwide industry standards. Remote monitoring healthcare solutions must fulfill existing and new standards for linked health devices; requirements for delivering future-proofing solutions are in place.
HL7 is a collection of international standards for clinical/administrative data transmission across healthcare software systems. HL7 defines adaptable standards, guidelines, and techniques for healthcare systems to interact with one another.
These principles, also known as data standards, enable information to be exchanged and processed consistently and uniformly. These data standards are intended to make it easier for healthcare institutions to communicate clinical information.
To construct safe, scalable, and usable remote patient monitoring systems, the platforms comprise a variety of available services and features such as sensors, smartphones, Wi-Fi gateways, BLE, and so on.