Healthcare data has economic value and is evaluated as such. Therefore, it attracted global attention from observational and clinical studies alike. Recently, the importance of data quality research emerged in healthcare data research. Various studies are being conducted on this topic. In this study, we propose a DQ4HEALTH model that can be applied to healthcare when reviewing existing data quality literature. The model includes 5 dimensions and 415 validation rules. The four evaluation indicators include the net pass rate (NPR), weighted pass rate (WPR), net dimensional pass rate (NDPR), and weighted dimensional pass rate (WDPR). They were used to evaluate the Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) at three...
Data Quality is a central issue within the development of Healthcare Systems, for both the delivery ...
BackgroundDecision-making and strategies to improve service delivery must be supported by reliable h...
dissertationConsistent assessment of the quality of health data is a growing concern in translationa...
Numerous studies make extensive use of healthcare data, including human materials and clinical infor...
Numerous studies make extensive use of healthcare data, including human materials and clinical infor...
Numerous studies make extensive use of healthcare data, including human materials and clinical infor...
Advances in standardization of observational healthcare data have enabled methodological breakthroug...
Numerous studies make extensive use of healthcare data, including human materials and clinical infor...
<p>Evaluation of data quality in large healthcare datasets.</p> <p> </p> <p>abstract:</p> <p>Data qu...
OBJECTIVE: Advances in standardization of observational healthcare data have enabled methodological ...
Increasing reliance is being placed on electronic medical records to support clinical care and achie...
Federated networks of observational health databases have the potential to be a rich resource to inf...
Federated networks of observational health databases have the potential to be a rich resource to inf...
International audienceBackground and objectives: Data Quality (DQ) programs are recognized as a crit...
The panel addresses the urgent need to ensure that comparative effectiveness research (CER) findings...
Data Quality is a central issue within the development of Healthcare Systems, for both the delivery ...
BackgroundDecision-making and strategies to improve service delivery must be supported by reliable h...
dissertationConsistent assessment of the quality of health data is a growing concern in translationa...
Numerous studies make extensive use of healthcare data, including human materials and clinical infor...
Numerous studies make extensive use of healthcare data, including human materials and clinical infor...
Numerous studies make extensive use of healthcare data, including human materials and clinical infor...
Advances in standardization of observational healthcare data have enabled methodological breakthroug...
Numerous studies make extensive use of healthcare data, including human materials and clinical infor...
<p>Evaluation of data quality in large healthcare datasets.</p> <p> </p> <p>abstract:</p> <p>Data qu...
OBJECTIVE: Advances in standardization of observational healthcare data have enabled methodological ...
Increasing reliance is being placed on electronic medical records to support clinical care and achie...
Federated networks of observational health databases have the potential to be a rich resource to inf...
Federated networks of observational health databases have the potential to be a rich resource to inf...
International audienceBackground and objectives: Data Quality (DQ) programs are recognized as a crit...
The panel addresses the urgent need to ensure that comparative effectiveness research (CER) findings...
Data Quality is a central issue within the development of Healthcare Systems, for both the delivery ...
BackgroundDecision-making and strategies to improve service delivery must be supported by reliable h...
dissertationConsistent assessment of the quality of health data is a growing concern in translationa...