Medical Devices and Pharmaceuticals

Medical 4.0

The digitalization is gaining momentum in the healthcare environment even the transformation is slower due to regulations than in other industries. The concepts of IoT or IIoT are already adopted with the Internet of Medical Things (IoMT) and artificial intelligence already helps to analyze large amount of data for example in research. Data security will be highest priority and therefore comprehensive solutions (software and hardware) have to be provided ensuring data protection.

 With the SUSiEtec toolset we support medical devices makers on the path of digitalization. Aspects like connectivity and data management are essential in the future. Together we develop solutions for the next generation of medical devices by combining our expertise in hardware and software solutions.

In the pharmaceutical industry digitalization and automation is already present at high level. The regulated environment requires a deep expertise of the related standards. Having this expertise allows us at Kontron to support producers of pharmaceuticals and the equipment supplier by the implementation of advanced automation solutions increasing productivity and flexibility. 

Medical App

IoT revolutionizes network infrastructure in hospitals

Modern medical care is based on smart real-time applications. IoT and the associated focus on networking, security, scalability and sustainability play a decisive role, especially in the hospital environment. A hospital is a complex structure, in which various administrative tasks are integrated as well as different treatment processes, some of which extend across various medical departments. To ensure smooth processes, data must be collected, processed and kept in stock. Low latencies as well as fast analyses and decision options on site are essential for doctors and nursing staff. An important criterion is not least the security of sensitive patient data.

SUSiEtec is used as the interface between the medical devices, applications and the cloud, converting protocols, filters data and, if necessary, processes them directly on site.

SUSiEtec allows hospitals to take a hybrid and scalable approach to their IoT scenarios by combining the benefits of on-premise solutions with a professional cloud infrastructure. Therefore, SUSiEtec is fully integrated with Gateway, Edge, Fog, Computer and Server products, many of which are already certified for Microsoft Azure IoT Services or in conjunction with cloud architectures that are already in use at the respective customer.

Edge- and Fog-Computer/Systems in interaction

The Embedded Cloud consists of Edge and Fog Computers/Systems. Edge computers are end devices such as ultrasound and ventilators or op-robots, to name just a few medical components. Sensors and actuators are connected to these devices to collect, process and analyse data. For CTs and MRTs, the images are processed directly in these devices for immediate diagnosis.

Fog computers include image processing workstations, for example. They perform further renderings and 3D simulations based on the pre-processed image data and store the data locally. For this purpose, all imaging devices of a department or station are connected to these computers. Via a connection to the servers in the hospital IT, the data is stored there for a long time, anonymized and used for further evaluations.

medical devices
medical technology

Predictive maintenance can save lives

With the help of predictive maintenance, medical devices in the Embedded Cloud can also be maintained in good time or, if necessary, replaced promptly. This can save lives. Predictive maintenance is one of the core components of the Medical 4.0 concept.

All connected devices are proactively maintained to keep downtimes as low as possible. This option allows faults to be predicted and rectified before they affect hospital operations or the condition of patients. Reliable predictive maintenance is based on reliable data that must be collected, stored and analysed. The collected and evaluated measured values and diagnostic data are transmitted directly to the service center or the device manufacturer.

Thanks to predictive maintenance, the medical device calls the service technician before a defect occurs. This saves costs, reduces the risk of failure and thus makes the networked operation of medical equipment safer.

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