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 C
Explanation
A. A nursing department determining staffing levels. – While a gap analysis could theoretically be used to assess staffing needs, it is more commonly applied to evaluate broader strategic gaps rather than specific resource allocation like staffing levels.
B. A nursing director conducting focus group interviews with five nurses. – Focus groups can be part of data collection, but they don’t constitute a full gap analysis, which requires a more structured assessment to compare current versus desired states.
C. A nursing director evaluating needs prior to transitioning to a new EHR. – A gap analysis is used here to assess current system capabilities versus the requirements for the new EHR, helping to identify what resources, training, or systems are needed for the transition.
D. A nursing leader observing nurses as they work. – Observation can inform a gap analysis but, on its own, does not constitute a complete analysis of needs or gaps in the current state versus future requirements.
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.