Empirical Evaluation of the Influence of EMR Alignment to Care Processes on Data Completeness

Hawaii International Conference on System Sciences
Publication Type:
Conference Proceeding
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020, pp. 3519-3528
Issue Date:
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Data completeness is an important dimension of data quality in electronic medical records (EMR). There are many constructs that influence data completeness in EMR. In this paper, we investigate three of these constructs: Clinical staff participation, EMR integration, and EMR alignment to care processes. We use these constructs from related studies as theoretical support to propose a conceptual model of factors influencing data completeness in EMR. The conceptual model is empirically validated using a survey with clinical staff participants. The results reveal that a high level of clinical staff’s participation influences the data completeness in EMR. Furthermore, the alignment of EMR to the care processes has an impact on the data completeness in EMR.
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