Ch 2: Using Data & Databases in Health Care Informatics

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.