This paragraph explains that hospitals can deploy AI technology to anticipate when their machines will most likely fail. The technology analyzes data from medical devices to proactively identify indications of potential failure. This is similar to how your phone or computer reminds you when to charge your device or update to the latest operating system. Maintenance can occur prior to a failure which allows hospitals to avoid equipment breakdowns that delay patient care. Even when equipment does the fail, patients and staff feel more confident about the equipment being properly maintained. This proactive approach makes everything run more smoothly and makes the patient feel better about their care.

As such, hospitals can implement artificial intelligence to maintain their equipment. AI evaluates data from medical devices and forecasts when there might be an interruptive failure, similar to how your phone suggests it’s time for a software upgrade or when the battery needs replacing. Hospitals can now repair or service equipment prior to a failure, preventing a breakdown, treatment delays, and improving patient satisfaction; even if the equipment fails, the prognosis that everything was okay until it failed brings more satisfaction for patient care.