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 attending physician training the residents should assume the responsibility for this situation. – While training is important, responsibility should not solely fall on the attending physician; it's a shared duty among all staff.
B. The EHR maintained by the IT department, and their expertise is recommended. – IT support is valuable, but the clinical staff should also be involved in reviewing the EHR data for clinical relevance.
C. The residents involved should be responsible for reporting how they entered data. – While residents should be accountable for their entries, the issue of systemic inconsistencies goes beyond individual responsibility.
D. The EHR records all entries' key logs, and these entries can be traced to the initial mistake. – This option highlights the importance of auditing the EHR to track errors back to their source, enabling corrective actions to be taken.
Correct Answer is D
Explanation
A. Robotics – Robotics can assist in procedures and some clinical tasks, but they do not directly provide evidence-based data for assessments.
B. Artificial intelligence – AI could support radiologists by analyzing imaging data and assisting in interpretations, but AI alone may not provide the structured, evidence-based clinical guidance needed.
C. Evidence-based practice (EBP) – EBP provides structured approaches to applying clinical research to patient care. However, it doesn't directly deliver automated, real-time support to the new radiologists.
D. Clinical decision support – Clinical decision support (CDS) provides real-time guidance based on evidence-based data, assisting radiologists in making accurate assessments by offering relevant clinical information.