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To systematically and comprehensively identify data issues in large clinical datasets, we adopted a harmonized data quality assessment framework with Python ...
Aug 27, 2024 · We adopted a harmonized data quality assessment framework with Python scripts before integrating the data into FHIR® for secondary use.
To systematically and comprehensively identify data issues in large clinical datasets, we adopted a harmonized data quality assessment framework with. Python ...
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This study aims to describe the development process of a governance framework for the “Registry Learning from Data in Nursing Homes,”
Our work is innovative in showing how to apply context around data quality characteristics and how to develop a second level data quality framework, so as to ...
Jun 30, 2023 · We extended a 2013 literature review on electronic health record (EHR) data quality assessment approaches and tools to determine recent improvements or changes.
Sep 27, 2022 · We retrospectively assessed the quality of functional status documentation in EHRs of persons participating in Mayo Clinic Study of Aging (MCSA).
In this work, we present the objectives, functionalities and methodological advances of an automated framework for data curation from a medical perspective.
Feb 13, 2023 · This review examines the state of research on operationalising EHR DQA, mainly automated tooling, and highlights necessary considerations for future ...
May 9, 2024 · Another study proposed terminology for data quality assessment and a framework for secondary use of EHR data (14). Using a harmonized crosswalk.