Consider an organization with a 10 million patient relational database; perhaps they are storing these data in a traditional relational database to mine the terabytes of data by applying .
Consider an organization with a 10 million patient relational database; perhaps they are storing these data in a traditional relational database to mine the terabytes of data by applying .
analytical tools on fields in the database to predict readmissions. The technical solution does not rely on anything other than conventional techniques but this still fits the generalized notion of a big data problem.
”Consider an organization with a 10 million patient relational database; perhaps they are storing these data in a traditional relational database to mine the terabytes of data by applying analytical tools on fields in the database to predict readmissions. The technical solution does not rely on anything other than conventional techniques but this still fits the generalized notion of a big data problem. Similarly, as point of care monitoring devices come on line in more healthcare delivery settings, the transmission, processing, storage, and access to the data also fall into the concept of a big data problem. In this case, it’s the near-real-time analysis of the data that might provide early warning of adverse outcomes. As you think about large vs. small health care facilities what are some other ”big data” analyses that can be done via predictive analytics or business intelligence techniques?
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