About This Chapter
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
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.
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Other chapters within the Health 309: Healthcare Informatics course
- Introduction to Health Care Informatics
- Electronic Health Records & Evidence-Based Practices
- Best Practices in Information Technology
- Project Development
- Consumer Informatics
- TeleHealth Overview
- Health Care Professionals & Technology Evaluation
- Trends in Health Care Informatics
- Required Assignments for Health 309