Digital Health Data Quality Issues: Systematic Review

Which dimension is identified as the most influential among all digital health data quality dimensions?

• Completeness

• Consistency

• Accessibility

• Currency

What is the principal promise of digital health?

• To improve patient safety

• To enhance the quality of data

• To electronically capture data for decision-making

• To reduce healthcare costs

Which of the following is NOT one of the six data quality (DQ) dimensions mentioned in the document?

• Accuracy

• Consistency

• Completeness

• Redundancy

What is the primary challenge associated with missing data in EHR systems?

• Data redundancy

• Data variability

• Data fragmentation

• Data duplication

What is the primary focus of the currency dimension in EHR data?

• Data completeness

• Data consistency

• Data timeliness

• Data granularity

Which of the following is NOT mentioned as a frequently mentioned cause for lack of currency of data?

• Recording of events long after the event actually occurred

• Incomplete recording of patient characteristics over time

• System or interface design not matching workflow

• Over-recording of data

What does the term "completeness" influence according to the text?

• The accuracy of data

• The speed of data entry

• The security of data

• The accessibility of data

What is the primary benefit of increased accessibility of digital health records?

• Improving the accuracy of data entry

• Reducing the data entry burden

• Enhancing the quality of patient care

• Increasing the workload of clinicians

Which DQ dimension is associated with the validity, integrity, and conformance of data?

• Consistency

• Currency

• Accuracy

• Contextual Validity

Which dimension of DQ was found to be very influential in impacting all types of DQ outcomes?

• Completeness

• Contextual validity

• Consistency

• Accessibility