What is 'big data' in the context of nursing informatics?

Study for Western Governors University (WGU) NURS5745 C790 Foundations in Nursing Informatics Exam with multiple choice questions and detailed explanations. Prepare to ace your exam!

In the context of nursing informatics, 'big data' refers to large and complex datasets that are generated from various sources within the healthcare system. This can include electronic health records, medical imaging, and genetic information, among other inputs. The essence of big data lies in its volume, velocity, and variety, which makes it challenging to manage and analyze using traditional data processing applications.

Big data in nursing informatics is crucial as it allows healthcare professionals to identify patterns, improve patient outcomes, enhance operational efficiencies, and support decision-making processes. By analyzing these vast amounts of information, nurses and healthcare leaders can gain insights into population health trends, clinical effectiveness, and the overall quality of care provided.

In contrast, smaller, simpler datasets or individualized data do not capture the broader patterns and insights that big data can reveal. Therefore, recognizing big data as large and complex datasets is vital for leveraging its full potential in nursing practice and improving healthcare services.

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