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. Leilani should have opened her emails in a more private location only she can access. – This action may protect sensitive information from physical observation but does not prevent malware.
B. Leilani should have used a more complex login when accessing her emails. – A stronger password enhances security but does not address the risk of opening suspicious attachments.
C. Leilani should have changed her email password more frequently. – While regular password updates can help with unauthorized access, they do not protect against malware in suspicious attachments.
D. Leilani should run a virus check on the email with the file attachment from the unfamiliar source. – Running a virus scan on suspicious attachments is the best preventive action, helping to detect and mitigate threats before opening potentially harmful files.
Correct Answer is C
Explanation
A. Query-based exchange. – Query-based exchange allows providers to search for and retrieve patient information but is typically provider-centered, not allowing patients direct control.
B. Clinical decision support. – Clinical decision support is a tool for improving provider decisions and does not give patients direct access to correct or control their records.
C. Consumer-mediated exchange. – Consumer-mediated exchange empowers patients to manage their own health information, including reviewing and correcting their billing and health records.
D. Evidence-based practice (EBP). – EBP is related to healthcare decision-making based on evidence but does not involve patient-controlled access to health records.
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