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Minimize overtime fatigue related issues, errors, and workflow disruptions
Optimize labor costs and exam revenue while maximizing capital investment
Enhance patient care by rescheduling fewer exams and provide timely diagnosis
Tube Watch for IGS maintains exam revenue
Stay ahead and proactively resolve tube health issues with Tube Watch
Supports on time diagnosis, invasive procedures and treatment
Allows seamless patient care during invasive procedures
Tube Watch is GE HealthCare’s predictive solution that is designed to remotely monitor and predict tube failures or X-ray generation chain issues before any disruption occurs. It delivers peace of mind by converting potential unplanned downtime to planned events helping to avoid patient and staff disruptions and associated revenue loss.
Tube Watch delivers peace of mind by converting potential unplanned downtime into anticipated events. It predicts tube and X-ray generation chain failure in advance, allowing for convenient replacement. It enables2 3–20 days advance notice of tube failures, leading to consistent revenue streams, fewer delays, and greater patient satisfaction. Here's how it works.
Tube Watch utilizes digital twin modeling with integrated artificial intelligence, machine learning, and software analytics to remotely monitor and analyze tube health trends in real time, ensuring optimal system performance and helping to avoid unplanned downtime.
With the power of machine learning, predictive analytics leverages data to simulate real-world scenarios. By accurately predicting the estimated failure date, it assists in making informed decisions about whether or not to proactively replace the tube and helps to reduce patient and staff stress as a result of canceled exams and procedures.
Keep equipment running with proactive part delivery and service scheduling. A GE HealthCare engineer remotely connects into the system to run an in-depth assessment and, if needed, will schedule on-site maintenance at a time that is most convenient for the customer.
Experience a smooth transition as the system returns to full functionality with minimal disruption and minimal impact on workflow after the tube and x-ray generation chain component replacement.