منابع مشابه
Human error: models and management
The longstanding and widespread tradition of the person approach focuses on the unsafe acts—errors and procedural violations—of people at the sharp end: nurses, physicians, surgeons, anaesthetists, pharmacists, and the like. It views these unsafe acts as arising primarily from aberrant mental processes such as forgetfulness, inattention, poor motivation, carelessness, negligence, and recklessne...
متن کاملComplex Systems Models and the Management of Error and Uncertainty
Journal of Land Use Science Publication details, including instructions for authors and subscription information: http://www.informaworld.com/smpp/title~content=t724921301 Complex systems models and the management of error and uncertainty J. P. Messina a; T. P. Evans b; S. M. Manson c; A. M. Shortridge a; P. J. Deadman d; P. H. Verburg e a Department of Geography, Michigan State University, USA...
متن کاملIdentification and risk assessment of midwife error in the labor using systematic human error reduction and prediction approach
Introduction: Labor is one of the most important wards of hospital, where human error is high. Midwifery errors in the maternity ward and in the delivery can be a serious threat to the health of the mother and the infant, resulting in increased treatment costs. Factors affecting human error are diversity in work, high workload, and fatigue. Therefore, this study aimed to evaluate the midwifery ...
متن کاملTESTING FOR AUTOCORRELATION IN UNEQUALLY REPLICATED FUNCTIONAL MEASUREMENT ERROR MODELS
In the ordinary linear models, regressing the residuals against lagged values has been suggested as an approach to test the hypothesis of zero autocorrelation among residuals. In this paper we extend these results to the both equally and unequally replicated functionally measurement error models. We consider the equally and unequally replicated cases separately, because in the first case the re...
متن کاملRidge Stochastic Restricted Estimators in Semiparametric Linear Measurement Error Models
In this article we consider the stochastic restricted ridge estimation in semipara-metric linear models when the covariates are measured with additive errors. The development of penalized corrected likelihood method in such model is the basis for derivation of ridge estimates. The asymptotic normality of the resulting estimates are established. Also, necessary and sufficient condition...
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ژورنال
عنوان ژورنال: BMJ
سال: 2000
ISSN: 0959-8138
DOI: 10.1136/bmj.320.7237.768