Non-disclaimer notice: Most of this article was provided by Nuance
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Expanding the Role of AI Technology in Healthcare
The adoption of artificial intelligence in healthcare is beginning. The topic is a complex area with input required from siloes of knowledge spanning data science, programming, and clinical areas. Clinicians, clinical information systems, including electronic health records, and governmental regulatory bodies (including CMS, Medi-Cal, and Public health organizations will be required to communicate with interoperability standards, much like the health information exchanges designed to merge disparate systems for accessing electronic patient information. The task will be formidable and take considerable time until it is mature, perhaps as long as ten years.. Experience with electronic health record interoperability demonstrates it has taken over ten years to become well established.
EHR interoperability has expanded in several dimensions, proprietary systems such as EPIC, and CERNER provides an interface amongst institutions that utilize their electronic health record system.
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