A growing consideration in data governance, particularly in healthcare, is the g

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A growing consideration in data governance, particularly in healthcare, is the growing impact of artificial intelligence (AI) in patient care and in the jobs associated with a career in healthcare. The impact of artificial intelligence (AI) in Radiology is already strongly identified and may change the prospects for radiologist employment and for the kinds of duties radiologists may have. https://www.npr.org/sections/alltechconsidered/2017/09/04/547882005/scanning-the-future-radiologists-see-their-jobs-at-risk (Links to an external site.) .
https://www.scientificamerican.com/article/rise-of-robot-radiologists/?WT.mc_id=send-to-friend (Links to an external site.)
Another healthcare focus area for artificial intelligence is pathology – see the following. https://blog.corista.com/corista-digital-pathology-blog/implementing-a-digital-pathology-system-are-you-up-for-the-challenge (Links to an external site.) and
https://blog.corista.com/corista-digital-pathology-blog/automation-in-pathology-will-be-enabled-by-artificial-intelligence (Links to an external site.)
Traditional departments in healthcare entities (Radiology, Pathology) will be heavily impacted by artificial intelligence (AI). Provide your ideas about what impacts healthcare automation and AI will have on data governance and data management (data capture, cleansing, analysis, etc.) Look ahead 5 to 10 years and provide feedback on the job prospects and/or new types of jobs for the field of Health Informatics or the field of Health Information Management resulting from automation and the use of artificial intelligence. In view of the pandemic and other potential virus waves, consider the role of telehealth regarding AI and future job prospects. You can reference your view of the Project ECHO project (when you listened and watched the Panopto recording of MDM plus Project ECHO).
Your posting must be at least 250 words in length.

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