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Many healthcare organizations operate 24/7, 365 days a year. They can’t afford to be down due to the potential for financial loss and, more important, the impact on patient care. To support clinical care, healthcare organizations should be able to provide “five nines”: 99.999% availability, or no more than 5 minutes and 15 seconds of downtime a year. This can be challenging to pull off in the healthcare industry, where organizations have large networks and a long list of systems to manage, including the electronic health record (EHR).Most software companies today are creating reliable products, but healthcare organizations are still left with ensuring the reliability of their own networks and infrastructure to ensure that those software systems don’t go down. That’s where observability comes in.
Monitoring involves assessing all of a healthcare organization’s systems and receiving alerts when something goes wrong. However, monitoring doesn’t necessarily explain what is wrong, which can result in several calls to the service desk and time spent investigating the issue. The other limitation with monitoring is that it informs IT teams only when something has happened, meaning it’s too late to prevent the issue from occurring.Observability involves using AIOps, or artificial intelligence (AI) for IT operations, to analyze network or system data to predict a failure. This is the highest level of maturity and a key capability when it comes to mitigating downtime in healthcare.
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