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.

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

“…Although Liu et al [39] have proposed the factors that influence data completeness in EMR and developed the hypotheses of the relationships between these factors, our study differs from [39] in at least three ways. First, the relationship between 'EMR integration' and 'clinical staff's participation' proposed in the present work was not included in [39].…”

“…Although Liu et al [39] have proposed the factors that influence data completeness in EMR and developed the hypotheses of the relationships between these factors, our study differs from [39] in at least three ways. First, the relationship between 'EMR integration' and 'clinical staff's participation' proposed in the present work was not included in [39]. Second, the mediating effects of 'EMR integration' and 'clinical staff's participation' on the relationships between 'EMR alignment to care processes' and 'data completeness in EMR' investigated in our work were not studied in [39].…”

“…However, how data management capability contributes to data quality has not been explained by Mithas et al [1]. Liu et al [39] developed a conceptual model based on Xiao et al's model [2] that involves a process of business-IT alignment in data management for addressing data quality, in the context of electronic medical records (EMR). However, the empirical evidence that can account for the influence of this alignment on data completeness as a dimension of data quality in the EMR context was missing in [39].…”

“…Liu et al [39] developed a conceptual model based on Xiao et al's model [2] that involves a process of business-IT alignment in data management for addressing data quality, in the context of electronic medical records (EMR). However, the empirical evidence that can account for the influence of this alignment on data completeness as a dimension of data quality in the EMR context was missing in [39]. Although a set of factors influencing data completeness in EMR and the hypotheses of the relationships between these factors were proposed in [39], the relationship between 'EMR integration' and 'clinical staff's participation' toward data completeness as well as the mediating effects of 'EMR integration' and 'clinical staff's participation' on the relationships between 'EMR alignment to care processes' and 'data completeness in EMR' were not investigated in [39].…”

“…However, the empirical evidence that can account for the influence of this alignment on data completeness as a dimension of data quality in the EMR context was missing in [39]. Although a set of factors influencing data completeness in EMR and the hypotheses of the relationships between these factors were proposed in [39], the relationship between 'EMR integration' and 'clinical staff's participation' toward data completeness as well as the mediating effects of 'EMR integration' and 'clinical staff's participation' on the relationships between 'EMR alignment to care processes' and 'data completeness in EMR' were not investigated in [39]. By exploring and extending data management literature, this study thus investigates whether EMR alignment to care processes influences data completeness in EMR by EMR integration and clinical staff's participation, addressing the aforementioned missing points in [39], from the perspective of clinical practitioners.…”