Case Study
Maximizing Clinical Availability and Performance with System Connectivity
For over 30 years Elekta has been responsible for introducing many market leading, critical technological advances in radiation oncology. Elekta’s Linear Accelerators support a range of pre-configured and optional delivery techniques, providing the physician with the flexibility to tailor the treatment to suit the needs of each individual patient. Remote access was unavailable on complex devices and Elekta was unable to understand machine performance based on real data, which meant the company could not respond immediately to customer problems. This, in turn, meant that Elekta was unable to detect and solve problems on the spot, restricting the company to a reactive service model. A typical patient treatment schedule could require daily treatment for a period of 4-6 weeks, making machine uptime extremely important. Given the complexity of the device and the amount of data that would need to be collected, it was obvious that an automated solution was required. The infrastructure would need the ability to manage the data volume from the devices and also provide a platform that would scale in both size and complexity. “When a customer buys a service agreement, what they are buying is system uptime. They are buying the ability to consistently deliver treatment… patient to patient,” says Martin Gilday, Vice President of Services at Elekta. “Service is not simply a single engineer with a trunk load of parts, but a full portfolio of technical expertise delivered via multiple channels...it’s a big change in the way that you think about service.” Elekta’s success has been built upon innovative engineering, which led to a culture of in-house work. As the company matured and grew, it realized that this was not necessarily the most effective way of working. With the complexity of the product itself, internal engineering expertise would be crucial to solve the company’s service challenges. While the product itself was unique, the methodologies and best practices of accessing and servicing the product were based on industry standards. When customers have service issues that need to be resolved, machine data must be collected and interpreted, and engineers need a deep level of skills and understanding. An integrated solution that brought the data, knowledge, and skills together in a highly connected environment was required. “Customers see connectivity as providing efficiency gains,” says Bruce Fullerton, Vice President of Service and Support. “Their key performance indicators are based around how many customers they can treat in a given space of time.”
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