Data Quality and Completeness in a Web Stroke Registry as the Basis for Data and Process Mining
Electronic health records often show missing values and errors jeopardizing their effective exploitation. We illustrate the re-engineering process needed to improve the data quality of a web-based, multicentric stroke registry by proposing a knowledge-based data entry support able to help users to h...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2014-01-01
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| Series: | Journal of Healthcare Engineering |
| Online Access: | http://dx.doi.org/10.1260/2040-2295.5.2.163 |