Application of openEHR archetypes to automate data quality rules for electronic health records: a case study
Abstract Background Ensuring data is of appropriate quality is essential for the secondary use of electronic health records (EHRs) in research and clinical decision support. An effective method of data quality assessment (DQA) is automating data quality rules (DQRs) to replace the time-consuming, la...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2021-04-01
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Series: | BMC Medical Informatics and Decision Making |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12911-021-01481-2 |