Some have called it the Age of Artificial Intelligence. That may be so, however, integration is the other player in this decade.
Thousands of applications and software solutions have been marketed in the Health care space.
Small vendors have their own niche, electronic health records, remote monitoring, telehealth, natural language processing, analytics, practice and revenue cycle management, patient portals for scheduling appointments, secure instant messaging, and prescription refills
The core application is the one the user, provider, patient signs on to first. Which one is difficult to predict? The evolution of HIT is so rapid prediction may be moot. Most vendors look to the future to plan their next pivot.
A.I. is enhancing integration among different applications in radiology. The artificial intelligence applications will not operate in an isolated role. Provider input will overly and parallel results from A.I. and machine learning. Humans have the ability to error check and identify metrics that A.I. cannot. Some images may have an artifact which will confuse A.I. applications. Providers can use A.I. to confirm their findings and/or refresh their own knowledge base.
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