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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 optimized, and the quality of care improved. The Internet of Medical Things (IoMT) is predicted to revolutionize 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 the shortage of staff and constant expenditure cuts will have little if any consequences for patient/resident care. It is bound to take over and lead to more efficient care without reducing 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 care staff on a smartphone. This makes it easier for 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 of night. This knowledge enables care staff to take action right away and to make sure going forward that the resident gets to the toilet in 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 analyze wear and tear and error messages.


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