Add to ORKGIntegrated care paradigms depend on multiple sources of data. The quality of data used in decision-making will ultimately affect the delivered care to the patient. Quality includes several dimensions, which may affect the result. This paper presents how data quality dimensions may affect the delivered service, and propose a conceptual framework for the classification of confidence in data used in clinical decision-making for integrated care
Data quality analysis in health care is a large and ongoing problem. Because the scope oj health car...
Defining data quality and realising the need for information that is free of defects and that posses...
Background: Digital health technologies (DHTs), such as electronic health records and prescribing sy...
Defining data quality and realising the need for information that is free of defects and that posses...
Guideline based clinical decision support systems provide patient-specific medical guidance to physi...
Data is said to be of a required quality, if the data conforms to a defined specification and this s...
There is growing interest in the reuse of clinical data for research and clinical healthcare quality...
This deliverable entails: 1. a generic method to assess primary care EHR data quality by quantifiabl...
Contains fulltext : 80226.pdf (publisher's version ) (Open Access)OBJECTIVES: To d...
Data quality is an important part of information processing, but its application in practice is ofte...
Objective: Routine primary care data may be used for the derivation of clinical prediction rules and...
dissertationConsistent assessment of the quality of health data is a growing concern in translationa...
BackgroundDecision-making and strategies to improve service delivery must be supported by reliable h...
Introduction Increasing investment in eHealth aims to improve cost effectiveness and safety of care....
Nowadays, there is a plethora of technology in hospitals and, in particular, in intensive care units...
Data quality analysis in health care is a large and ongoing problem. Because the scope oj health car...
Defining data quality and realising the need for information that is free of defects and that posses...
Background: Digital health technologies (DHTs), such as electronic health records and prescribing sy...
Defining data quality and realising the need for information that is free of defects and that posses...
Guideline based clinical decision support systems provide patient-specific medical guidance to physi...
Data is said to be of a required quality, if the data conforms to a defined specification and this s...
There is growing interest in the reuse of clinical data for research and clinical healthcare quality...
This deliverable entails: 1. a generic method to assess primary care EHR data quality by quantifiabl...
Contains fulltext : 80226.pdf (publisher's version ) (Open Access)OBJECTIVES: To d...
Data quality is an important part of information processing, but its application in practice is ofte...
Objective: Routine primary care data may be used for the derivation of clinical prediction rules and...
dissertationConsistent assessment of the quality of health data is a growing concern in translationa...
BackgroundDecision-making and strategies to improve service delivery must be supported by reliable h...
Introduction Increasing investment in eHealth aims to improve cost effectiveness and safety of care....
Nowadays, there is a plethora of technology in hospitals and, in particular, in intensive care units...
Data quality analysis in health care is a large and ongoing problem. Because the scope oj health car...
Defining data quality and realising the need for information that is free of defects and that posses...
Background: Digital health technologies (DHTs), such as electronic health records and prescribing sy...