Data quality indicators are metrics used to assess data quality. Which option is a correct example?

Data quality indicators are metrics used to assess data quality. Which option is a correct example?

• A. Patient satisfaction surveys
• B. Data encryption strength
• C. Metrics for data quality such as percent completeness of key fields; example: percent of cases with date of diagnosis
• D. Number of charts reviewed per week

Answer: (C)

Data quality indicators are metrics that measure the quality of the data itself, such as how complete, accurate, timely, and consistent the data are. The best example here is a metric that directly quantifies data quality—percent completeness of key fields, for instance the percent of cases with a date of diagnosis. This shows how much essential information is missing and helps pinpoint gaps to improve data capture. The other options don’t assess data quality: patient satisfaction surveys gauge user experience rather than data integrity; encryption strength relates to security; number of charts reviewed per week reflects workload or activity, not data quality. Focusing on the completeness of vital fields captures the core idea of data quality measurement.

Data quality indicators are metrics that measure the quality of the data itself, such as how complete, accurate, timely, and consistent the data are. The best example here is a metric that directly quantifies data quality—percent completeness of key fields, for instance the percent of cases with a date of diagnosis. This shows how much essential information is missing and helps pinpoint gaps to improve data capture. The other options don’t assess data quality: patient satisfaction surveys gauge user experience rather than data integrity; encryption strength relates to security; number of charts reviewed per week reflects workload or activity, not data quality. Focusing on the completeness of vital fields captures the core idea of data quality measurement.