A predictive work system would alert technicians that the helium level in an MRI is approaching a critical level, allowing them to take preventive actions and schedule planned downtime.
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Equipment failures in healthcare can have serious consequences, including delays in diagnosis or treatment, scheduling disruptions, and patient safety risks. Health systems should empower clinical engineering teams with technology that helps identify potential failures. This will allow health systems to gain visibility into the performance of their equipment and take action to prevent failures before they occur.
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Avoiding equipment failures leads to shorter turnaround times for maintenance, fewer disruptions to patient care, improved patient safety, and reduced stress for biomedical equipment technicians (BMETs).
Solve problems before they occur with predictive work systems
Health systems can significantly decrease the number of unforeseen equipment breakdowns by providing BMETs with predictive work systems. This advanced technology combines remote device monitoring, service expertise, and data science to recognize common, preventable equipment problems before a failure happens.
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