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 C
Explanation
A. A method to assign nurses within a healthcare facility. – ICNP does not involve nurse assignments; it is more focused on nursing terminology.
B. A method to correlate physician and nurse terminology. – Although ICNP aligns with other healthcare terminologies, it specifically standardizes nursing terminology rather than focusing on interdisciplinary correlations.
C. Standardized nursing terminology. – ICNP provides a standardized set of terms for nursing diagnoses, outcomes, and interventions, enabling consistency in nursing documentation and practice globally.
D. A nursing-specific subset of the DRG diagnostic codes. – ICNP is distinct from DRGs, as it does not serve as a subset of diagnostic codes for billing or categorization but rather focuses on nursing-specific language.
Correct Answer is A
Explanation
A. To quickly move data gained from research to the standard of the patient and healthcare provider. – Translational science aims to convert research findings into practical applications in healthcare, helping bridge the gap between scientific discovery and clinical use.
B. To convert data from basic research to a form usable by computers. – Translational science focuses on applying research in clinical settings rather than data formatting.
C. To enhance the financial value of scientific findings. – The primary goal of translational science is to improve patient care and healthcare practices, not to focus on the financial aspects of research findings.
D. To disseminate research findings in multiple languages. – Although making findings accessible globally can be beneficial, translational science is focused on implementing research in practical healthcare applications rather than language dissemination.