In future, service calls should be needed only in exceptional cases for diagnostic laboratories that use Atellica Solution from Siemens Healthineers . During the development phase of the system the developers had planned a systematic analysis of the machine data. This is now paying off: Alongside the experts in data analytics and data science from Mayato , Siemens Healthineers developed a solution for automatic predictive maintenance.
The data from various sensors are transmitted to the Siemens Healthineers database via the in-house Smart Remote Service (SRS) and then transmitted to a SAS data analysis platform. This evaluates the data and determines the failure probability. In addition, the software processes the data, visualizes it and makes it available via a web-based frontend. Should any action be required, the system automatically sends an e-mail to the person responsible. Furthermore, the entire laboratory system is continuously monitored and analyzed, using for example key performance indicators (KPIs).