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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Related Questions
Correct Answer is D
Explanation
A. Registration and scheduling system. – This system is primarily focused on managing patient appointments and scheduling, not employee payroll.
B. Laboratory-information system. – This system manages laboratory data and operations, such as specimen tracking and test results, and does not deal with payroll.
C. Admission/discharge/transfer system. – This system is related to patient management (admissions, discharges, transfers) and does not handle payroll matters.
D. Human-resources information system. – This system is specifically designed to manage employee information, including payroll, benefits, and staffing.
Correct Answer is B
Explanation
A. Pharmacy information system. – This system manages medications and inventory in the pharmacy but is unrelated to imaging or radiology.
B. Radiology-information system. – This system organizes, tracks, and manages radiology-related data, including scheduling and reports, which would be useful for locating misplaced MRI scans.
C. Laboratory-information system. – This system manages lab test data, such as bloodwork or pathology, but is unrelated to imaging studies like MRI.
D. Picture archiving and communication system. – While this system stores and allows access to imaging files (like MRIs), it does not manage radiology workflows, making the Radiology Information System (RIS) the more suitable choice.
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