Theoretical Support for Enhancing Data Quality: Application in Electronic Medical Records

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Conference Proceeding
2018 Americas Conference on Information Systems, 2018, DATA SCIENCE AND ANALYTICS FOR DECISION SUPPORT (SIGDSA) (19)
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This paper aims at reviewing the existing theoretical support to enhance data quality and utilizing the findings of the review in the context of electronic medical records (EMRs). For this to happen, we first conducted a survey of publications that have a focus on an empirical investigation of factors influencing data quality in the conceptual models. By using a well-established taxonomy development method from the discipline of information systems, we then proposed 3 dimensions for studying factors influencing data quality and constructing the conceptual model for enhancing data quality: breadth, depth, and interaction, within 9 characteristics under different dimensions. Last, we compared related studies using the proposed dimensions and utilized the findings of the review in enhancing EMRs quality to disclose the limitations and possibilities of new areas for further study.
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