Big Data in Healthcare
- Read Chapter 10 and reread Chapter 1 of your textbook, Business Intelligence, Analytics, Data Science, and AI
- Review the video, Innovative applications of geographic information systems (GIS) for population health Links to an external site.
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Big Data in Healthcare
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.
- 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.
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- Define cloud computing and explain how cloud computing affects Business Intelligence.
- Read Chapter 10 and reread Chapter 1 of your textbook, Business Intelligence, Analytics, Data Science, and AI.
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 this 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
