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Title:
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TOWARD A FRAMEWORK FOR DATA QUALITY IN ELECTRONIC HEALTH RECORD |
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Author(s):
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Omar Almutiry, Gary Wills, Richard Crowder |
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ISBN:
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978-972-8939-82-3 |
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Editors:
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Piet Kommers and Pedro Isaías |
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Year:
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2013 |
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Edition:
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Single |
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Keywords:
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Electronic Health Record (EHR), Data Quality (DQ), DQ Dimensions, Information System. |
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Type:
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Short Paper |
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First Page:
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365 |
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Last Page:
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370 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Electronic Health Record (EHR) refers to the digital form of a patients medical record. It is defined as a repository of patient data in digital form. This record is stored and exchanged securely and accessible by different levels of authorized users. Its key purpose is to support the continuity of care, and allow the exchange and integration of medical information for a patient. However, this would not be achieved without ensuring the quality of data populated in the EHR as the data quality can have a great impact on the overall effectiveness of EHR. The assurance of the quality of data used in healthcare systems is a pressing need to help the continuity and quality of care. Identification of data quality dimensions is a challenging issue as EHR data quality often focus only on data validation and verification, and overlook, for example, the appropriateness of use. Some research proposed frameworks of the data quality dimensions without taking into consideration the nature of e-healthcare systems. In this paper, we proposed an initial framework that fits the data quality attributes. This framework reflects the main elements of the healthcare systems and the functionality of EHR. |
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