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Extending Achilles Heel Data Quality Tool with New Rules Informed by Multi-Site Data Quality Comparison

Authors
Huser, V | Li, X | Zhang, Z | Jung, S | Park, RW  | Banda, J | Razzaghi, H | Londhe, A | Natarajan, K
Citation
Studies in health technology and informatics, 264. : 1488-1489, 2019
Journal Title
Studies in health technology and informatics
ISSN
1879-83650926-9630
Abstract
Large healthcare datasets of Electronic Health Record data became indispensable in clinical research. Data quality in such datasets recently became a focus of many distributed research networks. Despite the fact that data quality is specific to a given research question, many existing data quality platform prove that general data quality assessment on dataset level (given a spectrum of research questions) is possible and highly requested by researchers. We present comparison of 12 datasets and extension of Achilles Heel data quality software tool with new rules and data characterization measures.
Keywords

DOI
10.3233/SHTI190498
PMID
31438195
Appears in Collections:
Journal Papers > School of Medicine / Graduate School of Medicine > Biomedical Informatics
Ajou Authors
박, 래웅
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