NR 599 Midterm Review 2025–2026 – Nursing ss ss ss ss ss ss
ss Informatics Comprehensive Study Guide with Verified ss ss ss ss ss
Questions & Answers – Complete Exam Preparation
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General principles of Nursing Informatics
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• Verbalize the importance of health information systems with clinical practice.
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• Have knowledge of types and clinical and administrative uses of health information systems.
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• Ensure confidentiality of protected patient health information.
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• Assure access control in the use of health information systems.
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• Informatics: Science and art of turning data into info. ss ss ss ss ss ss ss ss
• Nursing Informatics ANS: The specialty that integrates nursing science with multiple information
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ss and analytical sciences to identify, define, manage, and communicate data, information, knowledge,
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ss and wisdom in nursing practice.
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o Nursing Informatics supports nurses, consumers, patients, the inter-professional healthcare
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ss team, and all other stakeholders in their decision making in all roles and settings to achieve
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ss desired outcomes. ss
o 2 Levels NI practice: generalists and informatics-nurse specialists.
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Knowledge
• Awareness and understanding of a set of information and ways that information can be made useful
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ss to support specific task or arrive at a decision
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• Information that’s synthesized so that relationships are identified and formalized.
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• Processed information that helps to clarify or explain some portion in our environment or world that
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ss we can use a as basis for action or upon which we can act.
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• Often affected by assumptions and central theories of a scientific discipline and is derived by
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ss discovering patterns of relationships between different clusters of information.
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• Answers questions of “why” and “how” ss ss ss ss ss
• Data – uninterpreted items, often referred to as data elements. An example might be a person’s weight.
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ss Without additional data elements such as height, age, overall well-being it would be impossible to
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interpret the significance of an individual number.
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• Information – a group of data elements that have been organized and processed so that one
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ss can interpret the significance of the data elements.
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o For example, height, weight, age, and gender are data elements that can be used to calculate the
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ss BMI. The BMI can be used to determine if the individual is underweight, overweight, normal
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ss weight or obese.
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