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Prior to beginning work on this discussion forum, – Read Chapter 10 and reread Chapter 1 of your textbook, _Business Intelligence, Analytics, Data Science, and AI_. – Review the following article and webpage: – [_The difference between artificial intelligence and machine learning_Links to an externa…
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Prior to beginning work on this discussion forum,
– Read Chapter 10 and reread Chapter 1 of your textbook, _Business Intelligence, Analytics, Data Science, and AI_.
– Review the following article and webpage:
– [_The difference between artificial intelligence and machine learning_Links to an external site.](https://www.analyticsinsight.net/the-difference-between-artificial-intelligence-and-machine-learning)
– [_Cloud computing_Links to an external site.](https://www.techtarget.com/searchcloudcomputing/definition/cloud-computing)
– “ [Hidden big data analytics issues in the healthcare industryLinks to an external site.](https://journals.sagepub.com/doi/pdf/10.1177/1460458219854603).”
– Review the video, [_Innovative applications of geographic information systems (GIS) for population health_Links to an external site.](https://www.youtube.com/watch?v=zwhO9z-PVCc).
The impact of emerging technologies in the field of business intelligence is shaping the decision-making processes of the healthcare delivery system. Potentially, big data in the healthcare delivery system could provide administrators with the needed insight to determine what customers/patients want and expect from their healthcare providers. From a clinical perspective, big data could provide the necessary information to determine what positive healthcare interventions are needed for marginalized and underserved demographics. In other words, big data can tell you how and what information is needed to set policies and processes that will encourage specific populations to seek needed health care.
In this week’s discussion address the following prompts in a minimum of 500 words:
– Describe **two** technologies used in the healthcare delivery system. Examples: analytics, data science, machine learning, artificial intelligence, and cognitive computing.
– Define cloud computing and explain how cloud computing affects Business Intelligence.
– Summarize how geospatial and location-based analytics could be implemented to assist healthcare organizations.
– Explain three legal and privacy issues regarding analytics within the healthcare delivery system.
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