The finance department in a multisystem healthcare organization wants to know which patient populations are remaining as inpatients beyond the approved reimbursement rates. On which type of data should the department focus?
A) Big data
B) Small data
C) Data science
D) Data modeling
B) Small data
Explanation: A) The term big data refers to very large data sets that are beyond human capability to analyze or manage without the aid of technology. These large data sets are then used to reveal patterns and discover new learning.
B) Small data, a type of data analytics, refers to limited data sets such as that seen with EHR information for a select patient population at a single hospital or healthcare delivery system. This type of data would be used to determine the care needs for a specific population and time frame for care.
C) Data science is the systematic study of digital data such as analytics, business intelligence, knowledge management, and discovery informatics so that they have context for the time and place in which they practice.
D) Data modeling is a process to define and analyze data requirements to support processes required within an organization. Data modeling is an important step in the design of a database such as an EHR because it establishes what information must be collected and in what format.
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