Paper Info
Title
Achieving Data Completeness In Electronic Medical Records: A Conceptual Model And Hypotheses Development
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.
Year
Venue
Field
2018
PROCEEDINGS OF THE 51ST ANNUAL HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (HICSS)
Data quality,Conceptual model,Computer science,Knowledge management,Medical record,Big data,Completeness (statistics)
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
15
4
Name
Order
Citations
PageRank
Caihua Liu121.05
Didar Zowghi2135186.00
Amir Talaei-Khoei35215.63
Jay Daniel462.09