In which situation should a gap analysis be used?
A nursing department determining staffing levels
A nursing director conducting focus group interviews with five nurses
A nursing director evaluating needs prior to transitioning to a new EHR
A nursing leader observing nurses as they work
The Correct Answer is C
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.
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Correct Answer is D
Explanation
A. Surveys – Surveys may collect health-related data but are not typically focused on disease surveillance or providing real-time information on infectious diseases.
B. Vital records – Vital records track birth, death, and health events but are not regularly updated for active infectious disease surveillance.
C. Claims data – Claims data relate to insurance and billing, not specifically disease prevention or control.
D. Surveillance – Disease surveillance systems systematically track and interpret data on infectious diseases to aid in disease control and prevention.
Correct Answer is A
Explanation
A. Clinical decision support – Clinical decision support (CDS) systems offer real-time alerts that can flag critical issues and help reduce errors by providing tiered warnings based on severity.
B. Evidence-based practice (EBP) – EBP supports care decisions based on research but doesn’t provide active alerts for order entries.
C. Robotics – Robotics don’t generate alerts or assist with diagnosis and treatment errors.
D. Artificial intelligence – AI can help in data processing but lacks the specific alert system functionality needed for real-time order entry verification.