Quality Improvement and Data Analytics
HSM 725 SYS/LECT/DST1 – Final Project
In this final project you are required to write a comprehensive review of the Importance and Use of Healthcare Analytics in Improving Quality and Performance, comprising the following topics and pages:
Cover page containing Project Title, Course code and course title, name of student, name of semester, instructor name, and date of submission.
- Introduction to Quality Improvement and Data Analytics 5 Pages
- Define health care data analytics
- Define health care quality and value
- Discuss the quality improvement frameworks that utilize analytics
- Discuss how analytics can help transform health care
- Identify quality initiatives that have shaped the national health care landscape
- Health Care Data as an Organizational Asset 5 Pages
- Explain how data can be an organizational asset
- List sources of health care data
- Describe the challenges Healthcare Organizations (HCOs) face when using data for quality and performance improvement
- Describe an organizational approach for effective use of data analytics
- Describe the role of data governance
- Working with Data 2 Pages
- Describe the information value chain
- Define common data types
- Data Analytics Tools and Techniques 2 Pages
- Describe the process steps of data analytics and the tools used in each step
- Identify tools and techniques used to analyze and interpret healthcare data effectively
- Using Data to Solve Problems 3 Pages
- Describe the purpose and use of Key Performance Indicators (KPI’s)
- Describe the DMAIC problem-solving model and the tools and techniques used in each step of the process
- Using the Data to Tell the Story 2 Pages
- Describe ways to effectively display data for improved comprehension
- Identify techniques to communicate insights gained from data analysis.
- Conclusion 1 Page
- References in APA 1-2 Pages
The paper should be double-spaced, APA formatted, and a minimum of 20 pages long excluding the cover page and the reference page(s).
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