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Which administrative information system is the primary determinant of scheduling availability for other administrative and clinical information systems?

A.

Quality-assurance

B.

Human-resources information system

C.

Admission/discharge/transfer system

D.

Registration and scheduling system

Answer and Explanation

The Correct Answer is D

A. Quality-assurance. – This system focuses on evaluating and improving healthcare quality and does not directly manage scheduling.

 

B. Human-resources information system. – This system manages employee information and staffing but does not directly impact patient scheduling availability.

 

C. Admission/discharge/transfer system. – This system manages patient flow but is not primarily responsible for scheduling availability across systems.

 

D. Registration and scheduling system. – This system is essential for managing patient appointments and schedules, determining availability for both administrative and clinical operations.


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View Related questions

Correct Answer is B

Explanation

A. The nurse should use a more complex password that includes a combination of numbers, letters, and symbols. – A complex password is generally good security practice but doesn’t help if the password is left in an accessible place.

B. The nurse should keep her password in a private location that only she can access. – Keeping the password in a private, secure location would prevent unauthorized access, ensuring it’s not visible to patients or others.

C. The hospital should ask all employees to change their password frequently. – Regularly updating passwords can help prevent security breaches but doesn’t solve the issue of visible passwords.

D. The hospital should require all employees to download antivirus software onto their work computers. – Antivirus software helps with malware protection but doesn’t prevent unauthorized access due to visible passwords.

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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