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.
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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.