A new chief information officer at Golden Sunrise Nursing Home is responsible for ensuring no potential threats jeopardize the integrity of the electronic health record system that the nursing home uses. Therefore, the chief information officer would like to run a test to verify password challenges, confidentiality of patient data, and backup plans in the event of breaches.Which type of test should the new chief information officer run to verily these areas?
Usability testing
Load testing
System testing
Security testing
The Correct Answer is D
A. Usability testing – Usability testing evaluates user-friendliness and ease of use but does not assess security elements like password challenges and data confidentiality.
B. Load testing – Load testing evaluates system performance under various levels of usage to ensure it can handle high traffic, but it does not focus on security aspects.
C. System testing – System testing assesses the overall functionality of the system but doesn’t specifically address security features like password management and data confidentiality.
D. Security testing – Security testing is the best choice here as it assesses the protection mechanisms of the system, including password security, data confidentiality, and breach response plans.
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Correct Answer is C
Explanation
A. A smartphone-connected rhythm monitoring device. – Rhythm monitoring devices focus on cardiac rhythms and do not collect comprehensive gut data.
B. A wearable sensor. – Wearable sensors typically monitor external metrics (like heart rate, steps) rather than internal metrics such as gut contents.
C. An ingestible sensor. – Ingestible sensors are designed to collect data on internal conditions, such as gut contents, and can communicate this information to smartphones for both patient and physician access.
D. A lab-on-a-chip. – Lab-on-a-chip technology typically involves small laboratory functions on a microchip but is not necessarily designed for continuous monitoring in the body.
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.