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Grand Canyon University Clinical Performance and Data Aggregation Paper


Collecting Data to Evaluate Clinical Performance, and Data Aggregation


  • Explain the importance of clinical quality measures.
  • Manage health care data using health information technology.
  • Interpret health-related data for improving health care outcomes.
  • Utilize online databases to acquire data.
  • Differentiate between structured and unstructured data.
  • Explain the importance of aggregated data.
  • Analyze health care data by utilizing databases and reports.


Discussion 1 A

What are clinical quality measures used for? Identify five clinical quality measures used by CMS. Describe the general structure of the five clinical quality measures you identified and explain how they are reported. Provide an example of how each of the five clinical quality measures you identified are designed to improve the quality of care.

Discussion 1 B

What are the role of benchmarks in quality improvement activities? In order to benchmark progress, describe what an organization can compare its benchmarks against. Provide an example of a source for benchmarks.


Read Chapter 24 in Health Informatics: An Interprofessional Approach.

Read “Electronic Clinical Quality Measures Basics,” located on the Centers for Medicare and Medicaid Services (CMS) website (2018).


Read “What Clinical Quality Measures Mean to Healthcare Providers,” by Health, located on the EHR Intelligence website.


Read “Module 7. Measuring and Benchmarking Clinical Performance” from the Practice Facilitation Handbook, located on the Agency for Healthcare Research and Quality (AHRQ) website.



Discussion 2 A

What is the difference between structured and unstructured data? Compare the impact of using structured versus unstructured data.

Discussion 2 B

Why does health care data need to be aggregated? In the data aggregation process, what is the impact of using information that is assigned a code as opposed to free text data?


Read Chapters 6 and 14 in Health Informatics: An Interprofessional Approach.


Read “Structured Data vs. Unstructured Data; What’s the Difference?” by King (2018), located on the Solutions Review website.




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