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Data Quality-HIT

The Ten Charactaristics of Data Quality

TermDefinition
Data Accuracy Data should represent what was intended or defined by the original source of the data
Data Accessibility Every health records system should allow 24/7 access to authorized users regardless of the format in which the records are stored
Data Comprehensiveness All required data elements should be included in the health record, rendering the record complete.
Data Consistency Reliable data DOES NOT CHANGE, no matter how many times or in how many ways they are stored, processed, or displayed
Data Currency Healthcare data should be up-to-date
Data Timeliness Data should be recorded at or near the time of the event, observation, or service
Data Granularity The data in a health record must be defined in a way that is appropriate for the intended use
Data Precision Acceptable data values or range of values much be precisely defined for each data element, (the expected value)
Data Relevancy Data must be useful
Data Quality Management Model Data Application: the purposes of data collection Data Collection: The processes of data collection Data Warehousing: How data is archived Data Analysis: How data is analyzed and shared
Created by: Lolamer