Objectives:
- Describe the purpose of using different types of data.
- Discuss the challenges associated with using data from various sources.
- Manipulate data from an Excel spreadsheet.
- Present health care data and information using visualization techniques.
***Based on the above knowledge, answer the following questions in a discussion format. There are two parts (1 and 2) to this week’s discussion assignment. Each part has two questions (A and B). Ensure all questions are answered appropriately with references attached.
Discussion 1 A
What is the purpose of looking at different types of data? What is the role of clinical terminology in data aggregation, normalization, and reconciliation?
Discussion 1 B
How do you evaluate outliers? How can outliers be used to determine root cause of data integrity issues? Research and briefly explain how CMS uses Winsorization when calculating cost performance.
Resources:
Review Chapters 7 and 29 in Health Informatics: An Interprofessional Approach.
URL:
Read “Big Data Analytics in Healthcare: Promise and Potential,” by Raghupathi and Raghupathi, from Health Information Science and Systems (2014).
URL:
https://www-ncbi-nlm-nih-gov.lopes.idm.oclc.org/pmc/articles/PMC4341817/
Explore “Basic Tasks in Excel,” located on the Microsoft Office website.
URL:
https://support.office.com/en-us/article/Basic-tasks-in-Excel-dc775dd1-fa52-430f-9c3c-d998d1735fca
Discussion 2 A
What is the purpose of data analytics in health care? What is the role of structured query language (SQL) in analytics?
Discussion 2 B
Describe how predictive analytics is used operationally in clinical and business processes in health care. In your response to peers, describe one or more roles of predictive analytics in the health care environment.
Resources:
Read Chapters 5 and 15 in Health Informatics: An Interprofessional Approach.
URL:
Read “6 Essential Data Analyst Skills for Your Healthcare Organization,” by Wadsworth, located on the Health Catalyst website.
URL:
com/insights/essential-data-analyst-skills-for-healthcare” target=”_blank” rel=”noopener”>https://www.healthcatalyst.com/insights/essential-data-analyst-skills-for-healthcare
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