This textbook introduces students to the application methods of control charts to …
This textbook introduces students to the application methods of control charts to improve quality in health care. The textbook is written to be accessible to any student in the areas of health information management, health care informatics, and health care industrial engineering. Having a basic background in statistics would be beneficial, but such training is not a prerequisite to understanding how to apply the techniques discussed here. Several How-To sections are included to demonstrate the implementation of the given control charts using software such as Minitab and Excel. Additionally, samples of a Python code are included and can directly be accessed in a Jupyter Notebook at https://github.com/JeromeNN/Applications-Control-Charts-Quality-Improvement-Health-Care
This textbook introduces students to the essential tools of quality improvement. The …
This textbook introduces students to the essential tools of quality improvement. The emphasis is placed on health care informatics, as reflected in the several examples contained in the text. The book is written to be accessible to any student in the areas of health information management, health care informatics, and health care industrial engineering. Although having some statistical background would be a plus, such knowledge is not a prerequisite to understanding and applying the tools presented here. Several How-To sections are included to demonstrate the hands-on implementation of the discussed concepts using software such as Minitab, Visio, and Excel.
In this section, you and your team will engage in a Landscape …
In this section, you and your team will engage in a Landscape Analysis to uncover key structures and supports that can guide your work to support Accessibility in OER. You may or may not answer all of these questions, but this is an offering.
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