The science fiction vision of artificial intelligence is of a world where technology is capable of self-healing, improving, and maintaining itself. However, while the future of AI will no doubt see the creation of applications that iterate over time and learn from the information that’s passing through them, the situation for an AI application today is very similar to that of any other IT application within a hospital.

They require ongoing maintenance, including updates for performance, security, and compatibility. They need to be monitored to determine whether they are consuming more resource than what is available and whether they are delivering the right results in a timely fashion. And, ultimately, their impact also needs to be measured, in terms of the business and whether they are delivering the return that was anticipated.

All of these elements require significant effort and resources and, while this may be manageable for a single application, it quickly becomes a problem if you are looking at several AI applications. The likelihood is that every hospital and imaging facility will soon be making use of multiple AI technologies, so it’s important that IT administrators prepare for how to manage this. How can you develop a structure for all these different maintenance updates, monitoring efforts and measurements, so that all your time and resources aren’t spent updating individual applications?

A centralized platform approach makes rolling out new technologies easier and eliminates the need to support different imaging applications and AI algorithms or multiple contracts. Download our eBook to find out more:

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