Data and information are used in decision-making. Which statement best describes this?

Data and information are used in decision-making. Which statement best describes this?

• A. It is rarely used in decision-making
• B. It is used in decision-making
• C. It is only used for billing
• D. It is never used

Answer: (B)

Using data and information in decision-making means that decisions are guided by facts that have been collected and then interpreted to become meaningful evidence. In nursing informatics, raw data (like numbers from tests, observations, or system logs) are organized and analyzed to produce information that helps clinicians understand a patient’s situation. That information supports decisions about diagnosis, care plans, safety measures, and resource use, as well as broader policy and quality improvement efforts. This is why the statement describing data and information in decision-making as being used is best: decisions in healthcare depend on evidence derived from data, not on guesswork. It’s not just about billing data; billing is only one, narrow use of data. Saying data are rarely or never used contradicts how clinicians continually rely on trends, alerts, and analytics to guide care and improve outcomes.

Using data and information in decision-making means that decisions are guided by facts that have been collected and then interpreted to become meaningful evidence. In nursing informatics, raw data (like numbers from tests, observations, or system logs) are organized and analyzed to produce information that helps clinicians understand a patient’s situation. That information supports decisions about diagnosis, care plans, safety measures, and resource use, as well as broader policy and quality improvement efforts.

This is why the statement describing data and information in decision-making as being used is best: decisions in healthcare depend on evidence derived from data, not on guesswork. It’s not just about billing data; billing is only one, narrow use of data. Saying data are rarely or never used contradicts how clinicians continually rely on trends, alerts, and analytics to guide care and improve outcomes.