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Internet of Things

The Internet of Things (IoT) is a phenomenon that has been the focus of attention within various lines of business for quite some time. In healthcare, it will change the way we approach the entire sector completely.

Four essential healthcare trends

By intelligently collecting data about application performance as well as about patient conditions, work procedures can be optimised, and the quality of care improved. The Internet of Medical Things (IoMT) is predicted to revolutionise the healthcare system.

New opportunities
Intelligent healthcare devices connected to the Internet introduce a wide range of new ways of performing care. Sensors in various applications and devices enable the collection of information and data on patients. This data can, for instance, help the care staff prepare treatments or plan visits. In addition, data will help streamline work and improve the quality of care as it is based on facts and can be accessed when relevant.

This technology may help counter-balance shortage of staff, and the constant expenditure cuts will have few, if any, consequences for patient/resident care. It is bound to take over and lead to more efficient care without reducing the quality. Ultimately, it will be possible to discover causes, connections, and relations, enabling us to take action earlier – thanks to intelligent systems.

LINAK contributes
LINAK has developed an intelligent care system, saving patient information from application sensors in a virtual online cloud and sending this data to the care staff on a smartphone. This makes it easier for the staff to plan and carry out their patient/resident visitations and consequently to perform better care at the right time. You may, for instance, find out by means of the bed sensors that a resident has difficulty keeping dry at a certain time at night. This knowledge enables the care staff to take action right away and henceforth make sure the resident gets to the toilet in due time. 

Information regarding the use of applications can be obtained by means of service data tools. It is possible to learn details about the frequency and purpose of the applications and use this knowledge to analyse wear and tear and error messages.


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