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Achieving Data Completeness in Electronic Medical Records: A Conceptual Model and Hypotheses Development

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Title:Achieving Data Completeness in Electronic Medical Records: A Conceptual Model and Hypotheses Development
Authors:Liu, Caihua
Zowghi, Didar
Talaei-Khoei, Amir
Daniel, Jay
Keywords:Big Data on Healthcare Application
Conceptual Model, Data Completeness, Data Quality, Electronic Medical Records
Date Issued:03 Jan 2018
Abstract:This paper aims at proposing a conceptual model of achieving data completeness in electronic medical records (EMR). For this to happen, firstly, we draw on the model of factors influencing data quality management to construct our conceptual model. Secondly, we develop hypotheses of relationships between influencing factors for data completeness and mediators for achieving data completeness in EMR based on the literature. Our conceptual model extends the prior model for factors influencing data quality management by adding a new factor and exploring the relationships between the influencing factors within the context of data completeness in EMR. The proposed conceptual model and the presented hypotheses once empirically validated will be the basis for the development of tools and techniques for achieving data completeness in EMR.
Pages/Duration:10 pages
URI:http://hdl.handle.net/10125/50245
ISBN:978-0-9981331-1-9
DOI:10.24251/HICSS.2018.357
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Big-Data on Healthcare Application


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