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. 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.
Correct Answer is D
Explanation
A. Quality-assurance. – This system evaluates performance and compliance but does not manage the direct entry of patient data into the EHR.
B. Computerized provider order entry. – This system allows providers to enter orders for tests and medications but is not primarily for uploading vital signs or laboratory results.
C. Results-reporting. – This system focuses on reporting laboratory results but does not handle the initial entry of vitals and results into the EHR.
D. Electronic documentation. – This system is designed for entering and managing patient data, including vital signs and laboratory results, directly into the EHR.
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