highlights
- Interoperability opens the gate to the inclusion of predictive maintenance strategies in system software.
- These strategies have huge cost-saving potentia.
software as a solution.
Radiotherapy ranks among the most computerized and technologically advanced medical disciplines. This field deploys highly complex radiation equipment for high precision treatment of patient malignancies. Optimal treatment requires many components and devices to work in concert, such as the beam production system, the dose delivery system, motion systems, a safety system and a patient positioning system.
As a consequence of this complexity, especially in proton or light-ion therapy, a large and highly skilled staff has to be available 24/7 to monitor the system and prevent machine downtime. However, despite this labor-intensive operation, a proton beam system still has typically a 3 to 5% downtime. These machine ‘interrupts’ result in treatment delays with all the stress for patient and staff that comes with it. They also lead to workload problems through the necessity of rescheduling.
Connectivity by design and smart software can minimize this by storing, sharing analyzing and predicting the system’s performance, asking for novel algorithms and data analytics fed with accurate and high-quality data in the device context.
"reducing costs and downtime."
All of these options start with the detection of deviations that give rise to scheduling the maintenance. This shouldn’t be done too early, as in that case costly components will be replaced unnecessarily. The challenge is to find the sweet spot that reduces costs and downtime and simultaneously offers logistics benefits. If carried out well, considerable savings in for instance support staff costs might be attained.
