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HITM2290 – Health Care Data Management and Analysis pdf

Credits: 3 (1/2/0)
Description: This course provides an outline of enterprise-wide information management and governance and the use of statistics and manipulation of data in the health care setting. A hands-on approach uses real-world examples showing students how to identify the problem, find the right data, generate the statistics and present the information to other users. Students learn how the quality of data and its management affect the sustainability and viability of health care organizations.
Prerequisites: HITM2204
Corequisites: (None)
Competencies:
  1. Apply policies and procedures to ensure the accuracy and integrity of health data both internal and external to the health system.
  2. Apply data stewardship and data governance principles.
  3. Depict basic descriptive, institutional and health care statistics.
  4. Explain analytics and decision support.
  5. Utilize health information to support enterprise-wide decision support for strategic planning.
  6. Apply report generation technologies to facilitate decision-making.
  7. Apply basic statistics utilizing mean, frequency, percentile and standard deviation.
  8. Explain common research methodologies and why they are used in health care.
  9. Summarize a collection methodology for data to guide strategic and organizational management.
  10. Apply information and data strategies in support of information governance initiatives.
  11. Utilize enterprise-wide information assets in support of organizational strategies and objectives.
  12. Analyze data to identify trends.
  13. Apply graphical tools for data presentation.
  14. Apply policies and procedures to ensure the accuracy and integrity of health data both internal and external to the health system.
  15. Analyze case mix index data to identify fraudulent coding trends.
MnTC goal areas: (N/A)

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