A patient is unaware of the prescription delivery timeframe and requests support.Which system should be used to acquire the scheduled prescription information?
Electronic documentation
Computerized provider order entry
Quality-assurance
Results-reporting
The Correct Answer is B
A. Electronic documentation. – While this system contains patient records, it may not specifically track prescription delivery schedules or timelines.
B. Computerized provider order entry. – This system is used to manage medication orders, including details about prescriptions and their delivery status, making it the appropriate choice to check the delivery timeframe.
C. Quality assurance. – This system focuses on evaluating quality and compliance but does not provide specific information on prescription delivery.
D. Results-reporting. – This system primarily manages the reporting of test results and does not handle prescription information or delivery schedules.
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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 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.