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Course Details

 

Course Details

Course Code: HIMA610 Course ID: 4769 Credit Hours: 4 Level: Graduate

This course will prepare the students to collect, analyze and present the data through the understanding of basic concepts, principles, and techniques/methods of statistics as applied to knowledge management in health care. Major topics will include data collection, sharing, and analysis. Students will study the terminology, concepts, models, processes and tools associated with decision support and knowledge management systems. The lab portion of the course will focus on data, statistical and qualitative analysis, explanatory, and predictive modeling where students will evaluate how to leverage data into information and knowledge to enhance systems, quality, cost effectiveness and strategic decision making. (Prerequisite: HIMA600)

Course Schedule

Registration Dates Course Dates Start Month Session Weeks
04/26/2022 - 09/30/2022 10/03/2022 - 11/27/2022 October Fall 2022 Session B 8 Week session
07/25/2022 - 12/30/2022 01/02/2023 - 02/26/2023 January Winter 2023 Session B 8 Week session

Current Syllabi

After successfully completing this course, students will be able to:
1. Examine the role data analytics serves for administrators of health information management.
2. Apply basic concepts, principles, and techniques/methods of statistics to knowledge management in health care.
3. Determine the appropriate use and limitations of qualitative and quantitative data for health care management problem identification and resolution.
4. Interpret results of statistical analyses from collected data.
5. Apply evidence-based principles of analysis, modeling, quality, and cost effectiveness to critical evaluation and strategic decision making.
6. Describe how health care organizations collect, share, analyze, and disseminate data.

After successfully completing this course, students will be able to:
1. Examine the role data analytics serves for administrators of health information management.
2. Apply basic concepts, principles, and techniques/methods of statistics to knowledge management in health care.
3. Determine the appropriate use and limitations of qualitative and quantitative data for health care management problem identification and resolution.
4. Interpret results of statistical analyses from collected data.
5. Apply evidence-based principles of analysis, modeling, quality, and cost effectiveness to critical evaluation and strategic decision making.
6. Describe how health care organizations collect, share, analyze, and disseminate data.

Book Title:A Practical Approach to Analyzing Healthcare Data, 3rd ed.
ISBN:9781584265276
Publication Info:AHIMA Press
Author:Susan White
Unit Cost:$79.95
Electronic ISBN:9781584264811
Electronic Unit Cost:$79.95
 

Previous Syllabi

Not current for future courses.