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. 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.
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.