A community health nurse is teaching a group of nursing students about descriptive analytics. The nurse recognizes that which of the following best describes the purpose of descriptive analytics in nursing?
To predict future client’s outcomes based on historical data.
To develop new treatment protocols based on client data.
To summarize and interpret historical client data to identify trends and patterns.
To provide real-time monitoring of client’s vital signs.
The Correct Answer is C
Choice A reason:
Predicting future client outcomes based on historical data is the purpose of predictive analytics, not descriptive analytics. Predictive analytics uses statistical models and algorithms to forecast future events or behaviors. Descriptive analytics, on the other hand, focuses on summarizing and interpreting past data.
Choice B reason:
Developing new treatment protocols based on client data is more aligned with prescriptive analytics, which provides recommendations for actions based on data analysis. Descriptive analytics does not develop new protocols but rather helps in understanding and summarizing existing data.
Choice C reason:
Descriptive analytics involves summarizing and interpreting historical client data to identify trends and patterns. This type of analytics helps healthcare providers understand what has happened in the past and can inform decision-making by highlighting key insights and trends. It is a foundational step in data analysis that supports further predictive and prescriptive analytics.
Choice D reason:
Providing real-time monitoring of client’s vital signs is associated with real-time analytics or monitoring systems, not descriptive analytics. Descriptive analytics focuses on analyzing historical data rather than real-time data.
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Correct Answer is ["A","B","C"]
Explanation
Choice A reason:
Conflict resolution skills are essential for effective nurse leadership. Leaders must be able to manage and resolve conflicts within the team to maintain a positive and productive work environment. Effective conflict resolution promotes teamwork and improves patient care.
Choice B reason:
Integrity is a fundamental quality of an effective nurse leader. Leaders with integrity are honest, ethical, and trustworthy. They set a positive example for their team and build a culture of trust and respect.
Choice C reason:
The ability to set priorities is crucial for nurse leaders. Effective leaders can identify the most important tasks and allocate resources appropriately. This skill ensures that the team focuses on activities that have the greatest impact on patient care and outcomes.
Choice D reason:
An authoritarian leadership style is not characteristic of effective nurse leadership. This style can lead to a lack of collaboration and low team morale. Effective nurse leaders typically use a more collaborative and inclusive approach to leadership.
Choice E reason:
Being resistant to change is not a quality of an effective nurse leader. Healthcare is a dynamic field that requires adaptability and openness to new ideas and practices. Effective leaders embrace change and guide their teams through transitions to improve care and outcomes.
Correct Answer is C
Explanation
Choice A reason:
Predicting future client outcomes based on historical data is the purpose of predictive analytics, not descriptive analytics. Predictive analytics uses statistical models and algorithms to forecast future events or behaviors. Descriptive analytics, on the other hand, focuses on summarizing and interpreting past data.
Choice B reason:
Developing new treatment protocols based on client data is more aligned with prescriptive analytics, which provides recommendations for actions based on data analysis. Descriptive analytics does not develop new protocols but rather helps in understanding and summarizing existing data.
Choice C reason:
Descriptive analytics involves summarizing and interpreting historical client data to identify trends and patterns. This type of analytics helps healthcare providers understand what has happened in the past and can inform decision-making by highlighting key insights and trends. It is a foundational step in data analysis that supports further predictive and prescriptive analytics.
Choice D reason:
Providing real-time monitoring of client’s vital signs is associated with real-time analytics or monitoring systems, not descriptive analytics. Descriptive analytics focuses on analyzing historical data rather than real-time data.