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 D
Explanation
A. Have someone from the information technology (IT) department present information to support the patient's learning. – This could be beneficial, but IT staff may not be present during every patient visit.
B. It is not advisable to show a patient how to use the portal during an appointment. – Incorrect: This is a missed opportunity, as educating patients during appointments can be beneficial.
C. Patient portal training is outside the scope of the medical professional. – This is incorrect; educating patients on using health resources is part of many healthcare professionals' roles.
D. Showcase the portal while attending to the patient during their visit. – Correct Answer: This allows for real-time demonstration, making it more likely that patients will understand and engage with the portal effectively while their needs are being addressed.
Correct Answer is B
Explanation
A. Pharmacy information system. – This system manages medications and inventory in the pharmacy but is unrelated to imaging or radiology.
B. Radiology-information system. – This system organizes, tracks, and manages radiology-related data, including scheduling and reports, which would be useful for locating misplaced MRI scans.
C. Laboratory-information system. – This system manages lab test data, such as bloodwork or pathology, but is unrelated to imaging studies like MRI.
D. Picture archiving and communication system. – While this system stores and allows access to imaging files (like MRIs), it does not manage radiology workflows, making the Radiology Information System (RIS) the more suitable choice.