Ch 2: Using Data & Databases in Health Care Informatics

About This Chapter

Complete this chapter at your own pace to review data and database concepts in the field of healthcare informatics. These useful lessons and self-assessment quizzes can help you study for exams, catch up in class, supplement your textbooks and earn better grades.

Using Data & Databases in Health Care Informatics - Chapter Summary

As you work through this collection of informative and expertly taught lessons, you'll review the uses, advantages and challenges of data/databases in healthcare informatics. Our instructors simplify complex information technology concepts, and you can expect to review the functions of database management, data mining, data warehousing, big data analytics and big data storage. To help you retain the information you learn, we've included practice quizzes throughout the chapter. These resources are available any time of day or night, and you can use any Internet-connected device to study. When you're finished with the chapter, you should be able to:

  • Outline the components and architecture of IT systems
  • Differentiate between several types of databases
  • Discuss the purpose of database management in organizations
  • Compare database management system models
  • Explain the purposes of data mining and data warehousing in business intelligence
  • Evaluate the advantages of healthcare data mining
  • Define big data concepts and evaluate examples of big data analytics
  • Assess the pros and cons of big data
  • Describe solutions for big data storage

10 Lessons in Chapter 2: Using Data & Databases in Health Care Informatics
Test your knowledge with a 30-question chapter practice test
What are Databases? - Examples & Types

1. What are Databases? - Examples & Types

Databases are containers for information that are designed to preserve, sort, and convey data. Learn about different types of databases, how they are categorized, and examples of various kinds.

What is Database Management? - How Databases Help Organizations

2. What is Database Management? - How Databases Help Organizations

Organizations that process large amounts of data must store and organize it through database management. Learn how libraries and hospitals manage data, and explore how databases help organizations become more successful through a series of real-world examples.

Models of Database Management Systems (DBMS)

3. Models of Database Management Systems (DBMS)

There are multiple models of database management systems (DBMS). Explore the five models: flat file, hierarchical, network, relational, and object-oriented.

Data Warehousing and Data Mining: Information for Business Intelligence

4. Data Warehousing and Data Mining: Information for Business Intelligence

Data mining is the organizational process of analyzing the information in data warehouses to discover relationships between large datasets. Learn about data warehouses, distributed DBMS, and how data mining can be used to provide useful information for business intelligence.

Benefits of Data Mining in Healthcare

5. Benefits of Data Mining in Healthcare

Data Mining is exactly what it sounds like - mining the ocean of data we have to obtain meaningful conclusions. Healthcare is only one of many industries benefiting from data mining. In this lesson, we'll learn what data mining is, its advantages and how it is applied to the healthcare industry.

What is Big Data? - Definition, Concepts & Uses

6. What is Big Data? - Definition, Concepts & Uses

The concept of big data does is boundless and is used on a global scale. In this lesson, we'll define big data and discuss its factors and uses around the world.

What is Big Data Analytics? - Definition & Examples

7. What is Big Data Analytics? - Definition & Examples

Big data analytics is the use of identifying patterns from large amounts of raw information gathered from a variety of reports, surveys, digital interactions, and transactions. Discover the importance of big data analytics through an overview of the general tools and techniques used.

Big Data: Advantages & Challenges

8. Big Data: Advantages & Challenges

Big Data is a rapidly growing computing, ripe with many opportunities. In this lesson, we'll look at where we get this big data from, and the many advantages and challenges that comes with big data.

Big Data Storage Solutions

9. Big Data Storage Solutions

Big data is a well-established concept in business and IT worlds. An ever-increasing volume of data is constantly being gathered and accessed in our interconnected digital world. Learn what options are available for storing big data.

What is Medical Data? - Definition & Types

10. What is Medical Data? - Definition & Types

In this lesson, you're going to learn the definition of medical data. Then we'll go over the major types of medical data that researchers might be able to access.

Chapter Practice Exam
Test your knowledge of this chapter with a 30 question practice chapter exam.
Not Taken
Practice Final Exam
Test your knowledge of the entire course with a 50 question practice final exam.
Not Taken
More Exams
There are even more practice exams available in Using Data & Databases in Health Care Informatics.

Earning College Credit

Did you know… We have over 220 college courses that prepare you to earn credit by exam that is accepted by over 1,500 colleges and universities. You can test out of the first two years of college and save thousands off your degree. Anyone can earn credit-by-exam regardless of age or education level.

To learn more, visit our Earning Credit Page

Support