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What is the International Classification of Nursing Practice (ICNPI?

A.

A method to assign nurses within a healthcare facility

B.

A method to correlate physician and nurse terminology

C.

Standardized nursing terminology

D.

A nursing-specific subset of the DRG diagnostic codes

Answer and Explanation

The Correct Answer is C

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.


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View Related questions

Correct Answer is C

Explanation

A. Human-resources information system. – This system manages employee data and payroll information, not software updates or database management.

B. Clinical decision support system. – This system provides recommendations based on clinical data but does not track software updates or the status of databases.

C. Quality assurance. – This system is responsible for evaluating the performance and compliance of software and databases, making it suitable for identifying which software has not been updated.

D. Registration and scheduling system. – This system primarily handles patient appointment scheduling and registration and does not provide insights into software updates.

Correct Answer is A

Explanation

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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