Often overlooked is the value radiology can add via mechanisms to provide feedback from back-end diagnostic practices to the front-end decision support criteria, thereby adding value to decision support.
The cloud is becoming more relevant to imaging, particularly with respect to augmenting applications. Rather than purchasing each AI application, it may be advantageous for providers to consider utilizing cloud-based services on a subscription basis, according to several vendors.
Google (https://www.google.com/intl/en_us/health/about/) has announced several relationships, the latest with Change Healthcare (https://www.prnewswire.com/news-releases/change-healthcare-announces-strategic-relationship-with-google-cloud-300561591.html) in which Change Healthcare will leverage Google’s cloud for image analytics.
Another interesting trend is the transference of advanced imaging technologies down to the acquisition device, such as GE Healthcare’s (https://www.intel.com/pressroom/archive/releases/2009/20090402corp.htm) intent to embed Intel graphical processing capability within its imaging equipment for more rapid advanced visualization at the point of acquisition for more timely and productive decisions.
This is an exciting time for imaging! There is a growing need to provide greater interoperability with EHR’s, while at the same time utilize artificial intelligence/machine learning to enhance the diagnostic process. The radiologist isn’t quite extinct, and these developments will assure they have a role to play in healthcare’s future.