A normative method to analyse workarounds in a healthcare environment: motivations, consequences, and constraints

Healthcare information systems have the potential to enhance productivity, lower costs, and reduce medication errors by automating business processes. However, various issues such as system complexity and system abilities in a relation to user requirements as well as rapid changes in business needs have an impact on the use of these systems. In many cases failure of a system to meet business process needs has pushed users to develop alternative work processes (workarounds) to fill this gap. Some research has been undertaken on why users are motivated to perform and create workarounds. However, very little research has assessed the consequences on patient safety. Moreover, the impact of performing these workarounds on the organisation and how to quantify risks and benefits is not well analysed. Generally, there is a lack of rigorous understanding and qualitative and quantitative studies on healthcare IS workarounds and their outcomes. This project applies A Normative Approach for Modelling Workarounds to develop A Model of Motivation, Constraints, and Consequences. It aims to understand the phenomenon in-depth and provide guidelines to organisations on how to deal with workarounds. Finally the method is demonstrated on a case study example and its relative merits discussed.

Using stochastic volatility models to analyse weekly ozone averages in Mexico City

In this paper we make use of some stochastic volatility models to analyse the behaviour of a weekly ozone average measurements series. The models considered here have been used previously in problems related to financial time series. Two models are considered and their parameters are estimated using a Bayesian approach based on Markov chain Monte Carlo (MCMC) methods. Both models are applied to the data provided by the monitoring network of the Metropolitan Area of Mexico City. The selection of the best model for that specific data set is performed using the Deviance Information Criterion and the Conditional Predictive Ordinate method.

Wirklichkeit und Fiktion in Günter Grass Im Krebsgang : Eine erzähltheoretische Analyse

Die Novelle, Im Krebsgang, von Günter Grass ist eine Mischung aus Zeitgeschichte, persönlicher Biografie des Autors und lebhafter Fantasie. Diese Komponenten auseinanderzuhalten könnte die Verständigung der Novelle verbessern. Nach den Annahmen, dass der engste Personenkreis um die Familie Pokriefke Fiktion ist, und die Geschichten um den U-Boot-Kommandanten Marinesko, den Medizinstudenten Frankfurter, den Nationalsozialisten Gustloff und das KdF-Schiff Wilhelm Gustloff faktual sind, wurden sechs Textabschnitte ausgewählt. Durch eine literaturwissenschaftliche Analyse dieser Textabschnitte wurden sechs Punkte gefunden, die die Trennlinie zwischen den fiktionalen und faktualen Textabschnitten identifizieren. Gefunden wurde, dass in den faktualen Texten der Erzähler immer auktorial, aus großer Distanz berichtet, und immer von der Fokalisierung getrennt ist. In den fiktionalen Texten aber liegt immer die Fokalisierung beim Erzähler, der stets szenisch erzählt.

The use of the challenge test to analyse preservative efficiency in non-sterile cosmetic and health products: applications and critical points

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Biomimetic in vitro oxidation of lapachol: A model to predict and analyse the in vivo phase I metabolism of bioactive compounds

The bioactive naphtoquinone lapachol was studied in vitro by a biomimetic model with Jacobsen catalyst (manganese(III) salen) and iodosylbenzene as oxidizing agent. Eleven oxidation derivatives were thus identified and two competitive oxidation pathways postulated. Similar to Mn(III) porphyrins, Jacobsen catalyst mainly induced the formation of para-naphtoquinone derivatives of lapachol, but also of two ortho-derivatives. The oxidation products were used to develop a GC MS (SIM mode) method for the identification of potential phase I metabolites in vivo. Plasma analysis of Wistar rats orally administered with lapachol revealed two metabolites, alpha-lapachone and dehydro-alpha-lapachone. Hence, the biomimetic model with a manganese salen complex has evidenced its use as a valuable tool to predict and elucidate the in vivo phase I metabolism of lapachol and possibly also of other bioactive natural compounds. (C) 2012 Elsevier Masson SAS. All rights reserved.