Assessing Data Quality
About this course
This unit will introduce the learner to the importance of data quality and the role of the HIT professional in monitoring and ensuring quality of data in clinical information systems. The theme of this unit is "beginning with the end in mind," and a review of both measurable and intangible dimensions of data quality is provided. Examples of each dimension are reviewed, and a business case for quality is presented.
What you will learn
Objectives:
1. Understand the different purposes of data.
2. Discuss the impact of poor data quality on quality measurement.
3. Identify 10 attributes of data quality and key process recommendations.
4. Explore the attributes of data quality and key process recommendations for maintaining data integrity.
5. Discuss common causes of data insufficiency.
6. Describe how health information technology design can enhance data quality and improve quality and safety measure results.
- a. Characteristics and Use of Data (24:48)
- b. Common Causes of Insufficient Data Quality (16:38)
Lectures:
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