May 15, 2023 · Electronic health record (EHR) data have many quality problems that may affect the outcome of research results and decision support systems.
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Five dimensions of data quality were identified, which are completeness, correctness, concordance, plausibility, and currency, and seven broad categories of ...
This study aimed to explore healthcare professionals' experiences and perceptions of barriers and facilitators of data quality of EHR-based studies in the ...
Sep 22, 2022 · We elaborate on the importance of in-depth knowledge of clinical workflows and describe six potential pitfalls to be avoided when working with EHR data.
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Jun 27, 2022 · This post will help you to understand the role of data quality in healthcare – what it is, how it benefits, and how to ensure data quality.
Aug 7, 2024 · This study rigorously evaluated fitness of data for intended use. The framework is reusable and built on a strong theoretical underpinning.
Jul 23, 2023 · EHRs are real-time, patient-centered records that make information available instantly and securely to authorized users. EHRs have been adopted ...
A Standard Framework for Evaluating Large Health Care Data and ... - CDC
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May 9, 2024 · This MMWR supplement presents a standard framework for evaluating large health care data and related resources, including constructs, criteria, and tools.
EHRs use can promote improved quality of care through offering real-time data availability, improved data sharing among healthcare providers, reduced errors and ...
Aug 19, 2022 · Data from Electronic Health Records (EHRs) are a rich source of patient centred data, including information on the patient's clinical condition, ...