Which clinical information system would enable a user to book an MRI exam for a patient?
Anesthesia information management system
Critical care information system
Radiology-information system
Operating room information system
The Correct Answer is C
A. Anesthesia information management system. – This system is focused on managing anesthesia-related data and does not handle imaging bookings.
B. Critical care information system. – This system manages data related to critical care patients but is not involved in scheduling MRI exams.
C. Radiology-information system. – This system is specifically designed to manage imaging procedures, including scheduling and tracking MRI exams.
D. Operating room information system. – This system focuses on managing surgical procedures and scheduling within the operating room and does not cover imaging like MRIs.
Nursing Test Bank
Naxlex Comprehensive Predictor Exams
Related Questions
Correct Answer is C
Explanation
A. A nursing department determining staffing levels. – While a gap analysis could theoretically be used to assess staffing needs, it is more commonly applied to evaluate broader strategic gaps rather than specific resource allocation like staffing levels.
B. A nursing director conducting focus group interviews with five nurses. – Focus groups can be part of data collection, but they don’t constitute a full gap analysis, which requires a more structured assessment to compare current versus desired states.
C. A nursing director evaluating needs prior to transitioning to a new EHR. – A gap analysis is used here to assess current system capabilities versus the requirements for the new EHR, helping to identify what resources, training, or systems are needed for the transition.
D. A nursing leader observing nurses as they work. – Observation can inform a gap analysis but, on its own, does not constitute a complete analysis of needs or gaps in the current state versus future requirements.
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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