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How can nurses contribute to machine learning through the assistance of obtaining knowledge and skills to better support patients?

A.

By evaluating technology and filling data gaps

B.

By simply accessing and using information

C.

By studying statistics to understand the algorithms

D.

By gathering patient data

Answer and Explanation

The Correct Answer is A

A. By evaluating technology and filling data gaps. – Nurses can contribute by identifying gaps in data that machine learning models need to improve accuracy, and by assessing technology to ensure it meets clinical needs and complements patient care.

 

B. By simply accessing and using information. – Access alone does not contribute significantly to machine learning; active data input and gap identification are more effective.

 

C. By studying statistics to understand the algorithms. – Studying algorithms helps understand machine learning but does not directly contribute to its function or data generation.

 

D. By gathering patient data. – While gathering data is helpful, without evaluating technology and addressing data gaps, it doesn’t fully contribute to machine learning model improvement.


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View Related questions

Correct Answer is C

Explanation

A. Human-resources information system. – This system manages employee data and payroll information, not software updates or database management.

B. Clinical decision support system. – This system provides recommendations based on clinical data but does not track software updates or the status of databases.

C. Quality assurance. – This system is responsible for evaluating the performance and compliance of software and databases, making it suitable for identifying which software has not been updated.

D. Registration and scheduling system. – This system primarily handles patient appointment scheduling and registration and does not provide insights into software updates.

Correct Answer is C

Explanation

A. A nursing department determining staffing levels. – While a gap analysis could theoretically be used to assess staffing needs, it is more commonly applied to evaluate broader strategic gaps rather than specific resource allocation like staffing levels.

B. A nursing director conducting focus group interviews with five nurses. – Focus groups can be part of data collection, but they don’t constitute a full gap analysis, which requires a more structured assessment to compare current versus desired states.

C. A nursing director evaluating needs prior to transitioning to a new EHR. – A gap analysis is used here to assess current system capabilities versus the requirements for the new EHR, helping to identify what resources, training, or systems are needed for the transition.

D. A nursing leader observing nurses as they work. – Observation can inform a gap analysis but, on its own, does not constitute a complete analysis of needs or gaps in the current state versus future requirements.

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