GEN 1749

Change Management and Clinical Data Analysis

Purdue University Global · UGRD · Fall 2026

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In this course, you will appraise systematic experiential, contextual, and best evidence-based practice, and the use of information technology and data, in a scholarly Doctor of Nursing Practice (DNP) project. In-depth work with experts from nursing and other disciplines will be incorporated to offer opportunities for meaningful student engagement and networking in the health care environment. You will acquire the skills and knowledge essential to process and manage information systems/technology resources and data in a variety of health care settings. Through assignments and discussions, you will retrieve and critically analyze digital data essential to health care quality improvement. Informatics tools for data extraction, organization, and interpretation will be compared, and statistical tools for nursing will be reviewed. This course requires a minimum of 60 and a maximum of 120 supervised practice hours, which may be applied to the doctoral project. Documentation and confirmation of required practice hours are required for successful completion of this course.

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Class #purdue_global-1749Fall 2026UGRD6 credits
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