How can nurses contribute to machine learning through the assistance of obtaining knowledge and skills to better support patients?
By evaluating technology and filling data gaps
By simply accessing and using information
By studying statistics to understand the algorithms
By gathering patient data
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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Correct Answer is B
Explanation
A. Google search streamlines web content for information-feed subscribers. – This statement is misleading; Google does not specifically streamline content for subscribers; it is a general search engine.
B. Google search outcomes may have less pertinent search topics since they are used as marketing tools. – Google search results can include paid advertisements and marketing materials, which may not provide the most relevant or accurate medical information.
C. Google search ranks the most ideal websites for searches regarding health information for a certain topic. – This is incorrect; while Google does rank search results, it does not guarantee the quality or accuracy of the information presented.
D. Google search requires a subscription to access content. – This is incorrect; Google is a free search engine that does not require a subscription to access search results.
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.