The nurses at Western View Hospital were asked to provide feedback regarding a new computerized order entry system that the hospital would like to implement Before allowing the system to go fully live, the nurses de a test run to check how it will perform. The nurses state that the computerized order entry system requires too many clicks to get to the correct screen and the screens are difficult on the eyes.Which type of testing should Western View Hospital perform to identify these challenges?
Security testing
System testing
Load testing
Usability testing
The Correct Answer is D
A. Security testing – Security testing assesses protection mechanisms but does not address user interface or usability issues.
B. System testing – System testing evaluates overall functionality but does not specifically focus on user experience or ease of navigation.
C. Load testing – Load testing assesses system performance under high traffic, which is unrelated to interface usability.
D. Usability testing – Usability testing identifies issues related to ease of use, navigation, and visual ergonomics, making it the ideal test to address challenges like too many clicks and difficult-to-read screens.
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Correct Answer is D
Explanation
A. Robotics – Robotics are used for physical tasks and do not support data sharing across departments.
B. Artificial intelligence – AI can help with data processing and analysis, but it doesn’t directly enable information sharing across departments.
C. Evidence-based practice (EBP) – EBP guides patient care based on research but does not provide a system for data sharing.
D. Electronic medical record – Electronic medical records (EMRs) are designed to allow multiple departments access to patient information, reducing the need for physical record retrieval.
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.