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NR 599 Informatics Midterm Review Sheet
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Informatics Midterm Review Sheet 1. General principles of Nursing Informatics: 2. Knowledge o Awareness and understanding of a set of information and ways that information can be made useful ... to support a specific task or arrive at a decision. This knowledge building is an ongoing process engaged in while a person is conscious and going about his or her normal daily activities. 3. Wisdom: • Knowledge applied in a practical way or translated into actions; the use of knowledge and experience to heighten common sense and insight so as to exercise sound judgment in practical matters. Sometimes thought of as the highest form of common sense, resulting from accumulated knowledge or erudition (deep, thorough learning) or enlightenment (education that results in understanding and the dissemination of knowledge). Wisdom is the ability to apply valuable and viable knowledge, experience, understanding, and insight while being prudent and sensible. It is focused on our own minds; it is the synthesis of our experience, insight, understanding, and knowledge. Wisdom is the appropriate use of knowledge to solve human problems. It is knowing when and how to apply knowledge. 4. Scientific Underpinning: • The scientific underpinnings of practice provide the basis of knowledge for advanced nursing practice. These scientific underpinnings include sciences such as biology, physiology, psychology, ethics, and nursing. • Nursing science, information science, and computer science 5. The Foundation of Knowledge Model • The Foundation of Knowledge model is also introduced as the organizing conceptual framework of this text, and the model is tied to nursing science and the practice of nursing informatics. 6. Computer science: o Branch of engineering (application of science) that studies the theoretical foundations of information and computation and their implementation and application in computer systems. The study of storage/memory, conversion and transformation, and transfer or transmission of information in machines— that is, computers—through both algorithms and practical implementation problems. Algorithms are detailed, unambiguous action sequences in the design, efficiency, and application of computer systems, whereas practical implementation problems deal with the software and hardware. [Show More]
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