Background: Due to the complexity of healthcare processes, the potential for Health Information Systems (HIS) to cause technology-induced errors is a growing concern. Health Information Technology (HIT) errors nearly always threaten good patient care and can lead to patient harm. Instruments to allow hospitals to proactively identify areas of Electronic Health Records (EHR) safety, to set priorities and to intervene before incidents occur are currently underdeveloped.
View Article and Find Full Text PDFBackground: The rapid expansion in the use of electronic health records (EHR) has increased the number of medical errors originating in health information systems (HIS). The sociotechnical approach helps in understanding risks in the development, implementation, and use of EHR and health information technology (HIT) while accounting for complex interactions of technology within the health care system.
Objective: This study addresses two important questions: (1) "which of the common EHR error types are associated with perceived high- and extreme-risk severity ratings among EHR users?", and (2) "which variables are associated with high- and extreme-risk severity ratings?"
Methods: This study was a quantitative, non-experimental, descriptive study of EHR users.
Objective: Family meals have been negatively associated with overweight in children, while television (TV) viewing during meals has been associated with a poorer diet. The aim of the present study was to assess the association of eating family breakfast and dinner, and having a TV on during dinner, with overweight in nine European countries and whether these associations differed between Northern and Southern & Eastern Europe.
Design: Cross-sectional data.
Introduction: Health and functional capacity have improved especially in Western countries over the past few decades. Nevertheless, the positive secular trend has not been able to decrease an uneven distribution of health. The main aim of this study was to follow-up changes in functional capacity among the same people in six years time and to detect whether the possible changes vary according to socio-economic position (SEP).
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