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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. It compiles medical information regarding patients by utilizing various sources into one searchable area – This is incorrect, as Wikipedia does not compile patient-specific information. It is a general knowledge platform.

B. It requires a subscription fee to access – This is incorrect; Wikipedia is a free resource.

C. It is not a reliable information source – Wikipedia is not considered a reliable medical source due to potential inaccuracies and the ability for unverified users to edit content.

D. It uses a healthcare-specific browser to narrow search results – This is incorrect, as Wikipedia does not have a healthcare-specific search browser.

Correct Answer is D

Explanation

A. Quality-assurance. – This system focuses on evaluating and improving healthcare quality and does not directly manage scheduling.

B. Human-resources information system. – This system manages employee information and staffing but does not directly impact patient scheduling availability.

C. Admission/discharge/transfer system. – This system manages patient flow but is not primarily responsible for scheduling availability across systems.

D. Registration and scheduling system. – This system is essential for managing patient appointments and schedules, determining availability for both administrative and clinical operations.

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