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A cancer patient is exhibiting symptoms of a respiratory infection. The nurse needs to place the patient in reverse isolation because the patient le immunocompromised and to prevent the spread of infection Where, within the clinical information system, should the nurse document this information so that other healthcare providers who enter the patient's room will be aware of this precaution?

A.

The electronic documentation section

B.

The clinical decision support system

C.

The picture archiving and communication system

D.

The physiological monitoring system

Answer and Explanation

The Correct Answer is A

A. The electronic documentation section – This is the appropriate place for documenting precautions like reverse isolation, so all healthcare staff can see the need for protective measures upon entry.

 

B. The clinical decision support system – This system provides alerts or suggestions based on clinical data, not specifically used to document isolation requirements.

 

C. The picture archiving and communication system – This system stores medical imaging, not isolation precautions or patient care notes.

 

D. The physiological monitoring system – This is used for real-time monitoring of vital signs, not for documenting patient isolation precautions.


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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.

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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