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 D
Explanation
A. The radiology information system – This system stores and manages imaging studies, not laboratory tests like a Pap smear.
B. The pharmacy information system – This system is for medication records, unrelated to laboratory test results.
C. The computerized provider order entry system – This system is for entering patient care orders but not for viewing test results.
D. The laboratory information system – Laboratory results, including Pap smear results, are stored here, making it the correct choice.
Correct Answer is D
Explanation
A. Robotics – Robotics are used for physical tasks and do not support data sharing across departments.
B. Artificial intelligence – AI can help with data processing and analysis, but it doesn’t directly enable information sharing across departments.
C. Evidence-based practice (EBP) – EBP guides patient care based on research but does not provide a system for data sharing.
D. Electronic medical record – Electronic medical records (EMRs) are designed to allow multiple departments access to patient information, reducing the need for physical record retrieval.