Data can be used to help identify outbreaks, halt the spread of infectious diseases, and drive performance improvement. To understand what information is collected, why it is collected, and how it will be used to make improvements, an IP must ensure that the information is

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Multiple Choice

Data can be used to help identify outbreaks, halt the spread of infectious diseases, and drive performance improvement. To understand what information is collected, why it is collected, and how it will be used to make improvements, an IP must ensure that the information is

Explanation:
Data must be relevant to the purpose of the surveillance and improvement effort. When an infection preventionist designs data collection, every element should directly inform what happened, where, when, and who was affected, and how the information will be used to halt spread and implement improvements. Relevance ensures that the data supports specific actions, such as identifying clusters, evaluating transmission routes, prioritizing interventions, and tracking progress over time. If information collected has little bearing on these objectives, it wastes time, complicates analysis, and can distract from meaningful improvements, even if it is timely or accurate. While timely, accurate, and comprehensive data are important quality attributes, relevance ties data directly to the decisions and actions that will drive outbreak control and performance improvement.

Data must be relevant to the purpose of the surveillance and improvement effort. When an infection preventionist designs data collection, every element should directly inform what happened, where, when, and who was affected, and how the information will be used to halt spread and implement improvements. Relevance ensures that the data supports specific actions, such as identifying clusters, evaluating transmission routes, prioritizing interventions, and tracking progress over time. If information collected has little bearing on these objectives, it wastes time, complicates analysis, and can distract from meaningful improvements, even if it is timely or accurate. While timely, accurate, and comprehensive data are important quality attributes, relevance ties data directly to the decisions and actions that will drive outbreak control and performance improvement.

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