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Data Quality-HIT
The Ten Charactaristics of Data Quality
| Term | Definition |
|---|---|
| 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
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