title: Improving linear accelerator service response with a real- time electronic event reporting system.
abstract: To track linear accelerator performance issues, an online event recording system was developed in-house for use by therapists and physicists to log the details of technical problems arising on our institution's four linear accelerators. In use since October 2010, the system was designed so that all clinical physicists would receive email notification when an event was logged. Starting in October 2012, we initiated a pilot project in collaboration with our linear accelerator vendor to explore a new model of service and support, in which event notifications were also sent electronically directly to dedicated engineers at the vendor's technical help desk, who then initiated a response to technical issues. Previously, technical issues were reported by telephone to the vendor's call center, which then disseminated information and coordinated a response with the Technical Support help desk and local service engineers. The purpose of this work was to investigate the improvements to clinical operations resulting from this new service model. The new and old service models were quantitatively compared by reviewing event logs and the oncology information system database in the nine months prior to and after initiation of the project. Here, we focus on events that resulted in an inoperative linear accelerator ("down" machine). Machine downtime, vendor response time, treatment cancellations, and event resolution were evaluated and compared over two equivalent time periods. In 389 clinical days, there were 119 machine-down events: 59 events before and 60 after introduction of the new model. In the new model, median time to service response decreased from 45 to 8 min, service engineer dispatch time decreased 44%, downtime per event decreased from 45 to 20 min, and treatment cancellations decreased 68%. The decreased vendor response time and reduced number of on-site visits by a service engineer resulted in decreased downtime and decreased patient treatment cancellations.
authors.affiliation: University of California San Diego. jhoisak@ucsd.edu.
authors.forename: Jeremy D P
authors.initials: JD
authors.lastname: Hoisak
authors.forename: Todd
authors.initials: T
authors.lastname: Pawlicki
authors.forename: Gwe-Ya
authors.initials: GY
authors.lastname: Kim
authors.forename: Richard
authors.initials: R
authors.lastname: Fletcher
authors.forename: Kevin L
authors.initials: KL
authors.lastname: Moore
mesh_terms: D003199:Computer Systems; D003625:Data Collection / Q000379:methods; D004868:Equipment Failure; D019544:Equipment Failure Analysis / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D008284:Maintenance and Engineering, Hospital / Q000379:methods*; D010315:Particle Accelerators / Q000295:instrumentation*; D012984:Software; D014584:User-Computer Interface