The correlation of data elements, data sets, databases, indices, data mapping, and data warehousing.

Explain the correlation of data elements, data sets, databases, indices, data mapping, and data warehousing.

  1. Discuss the difference between data and information. 10 points
  2. Discuss an example of a data element and how those correlate into a data set. Give an example of a data set to show how the data element correlates. 10 points
  3. Describe the difference between a relational database and an object-oriented database. How does a data element or data set play a role in a database? 15 points
  4. Describe the master patient index(MPI). What is the purpose? What data elements are included? How long is the MPI kept? 15 points

Full Answer Section

  Data Elements and Data Sets:
  • Data Element: The smallest individual unit of data that has a specific meaning. (e.g., "Customer Name", "Age", "Car Color")
  • Data Set: A collection of related data elements grouped together to represent a specific entity or concept. (e.g., A customer data set might include data elements like "Customer Name", "Address", "Phone Number", "Email", etc.)
Example: Data Elements:
  • Customer ID
  • First Name
  • Last Name
  • Email Address
Data Set (Customer Table):
Customer ID First Name Last Name Email Address
1234 John Doe [email protected]
5678 Jane Smith [email protected]
9012 David Lee [email protected]
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  1. Relational vs. Object-Oriented Databases:
  • Relational Database: Stores data in tables with rows and columns. Data elements are organized based on predefined relationships between tables. (e.g., Customer table linked to an Order table)
  • Object-Oriented Database: Stores data objects that encapsulate both data and the operations that can be performed on that data. Offers more flexibility for complex data structures.
Role of Data Elements/Sets:
  • Data elements are the building blocks of both relational and object-oriented databases.
  • Data sets form the foundation of tables in relational databases and objects in object-oriented databases.
  1. Master Patient Index (MPI):
  • Purpose: Uniquely identify individual patients across different healthcare systems to ensure accurate and coordinated care. It acts like a central hub.
  • Data Elements: Includes demographic information like name, date of birth, address, and unique identifiers (e.g., Social Security number - following privacy regulations). May also include additional clinical data.
  • Retention: MPI records are typically maintained indefinitely to ensure long-term patient identification and care coordination.
By understanding these data structures and their relationships, we can efficiently manage and utilize information for various purposes.      

Sample Answer

     

Understanding data organization is crucial in today's information age. Let's explore the connections between different data structures:

1. Data vs. Information:

  • Data: Raw, unprocessed facts and figures that have no inherent meaning. It's like individual bricks. (e.g., "123 Main St", "22", "Blue")
  • Information: Processed and organized data that has context and meaning. It's like a constructed building with a purpose. (e.g., "Customer lives at 123 Main St, is 22 years old, and has a blue car.")