Healthcare Information System Selection Model for Medical Clinics

The issue of selecting an appropriate healthcare information system is a very essential one. If implemented healthcare information system doesn’t fit particular healthcare institution, for example there are unnecessary functions; healthcare institution wastes its resources and its efficiency decreases. The purpose of this research is to develop a healthcare information system selection model to assist the decision-making process of choosing healthcare information system. Appropriate healthcare information system helps healthcare institutions to become more effective and efficient and keep up with the times. The research is based on comparison analysis of 50 healthcare information systems and 6 interviews with experts from St-Petersburg healthcare institutions that already have experience in healthcare information system utilization. 13 characteristics of healthcare information systems: 5 key and 7 additional features are identified and considered in the selection model development. Variables are used in the selection model in order to narrow the decision algorithm and to avoid duplication of brunches. The questions in the healthcare information systems selection model are designed to be easy-to-understand for common a decision-maker in healthcare institution without permanent establishment.

Multi-Domain Information Model

The Multi-Domain Information Model for organisation of the information bases is presented.

What drives invasibility? A multi-model inference test and spatial modelling of alien plant species richness patterns in northern Portugal

Understanding and anticipating biological invasions can focus either on traits that favour species invasiveness or on features of the receiving communities, habitats or landscapes that promote their invasibility. Here, we address invasibility at the regional scale, testing whether some habitats and landscapes are more invasible than others by fitting models that relate alien plant species richness to various environmental predictors. We use a multi-model information-theoretic approach to assess invasibility by modelling spatial and ecological patterns of alien invasion in landscape mosaics and testing competing hypotheses of environmental factors that may control invasibility. Because invasibility may be mediated by particular characteristics of invasiveness, we classified alien species according to their C-S-R plant strategies. We illustrate this approach with a set of 86 alien species in Northern Portugal. We first focus on predictors influencing species richness and expressing invasibility and then evaluate whether distinct plant strategies respond to the same or different groups of environmental predictors. We confirmed climate as a primary determinant of alien invasions and as a primary environmental gradient determining landscape invasibility. The effects of secondary gradients were detected only when the area was sub-sampled according to predictions based on the primary gradient. Then, multiple predictor types influenced patterns of alien species richness, with some types (landscape composition, topography and fire regime) prevailing over others. Alien species richness responded most strongly to extreme land management regimes, suggesting that intermediate disturbance induces biotic resistance by favouring native species richness. Land-use intensification facilitated alien invasion, whereas conservation areas hosted few invaders, highlighting the importance of ecosystem stability in preventing invasions. Plants with different strategies exhibited different responses to environmental gradients, particularly when the variations of the primary gradient were narrowed by sub-sampling. Such differential responses of plant strategies suggest using distinct control and eradication approaches for different areas and alien plant groups.

Examining the Learning Effects of Segmented Model Demonstrations on the Motor & Cognitive Learning of the Basketball Jump Shot

The purpose of the present experiment was to determine whether learning is optimized when providing the opportunity to observe either segments, or the whole basketball jump shot. Participants performed 50 jump-shots from the free throw line during acquisition, and returned one day later for a 10 shot retention test and a memory recall test of the jump-shot technique. Shot accuracy was assessed on a 5-point scale and technique assessed on a 7-point scale. The number of components recalled correctly by participants assessed mental representation. Retention results showed superior shot technique and recall success for those participants provided control over the frequency and type of modelled information compared to participants not provided control. Furthermore, participants in the self-condition utilized the part-model information more frequently than whole-model information highlighting the effectiveness of providing the learner control over viewing multiple segments of a skill compared to only watching the whole model.

Modelling context information with ORM

Context-aware applications rely on implicit forms of input, such as sensor-derived data, in order to reduce the need for explicit input from users. They are especially relevant for mobile and pervasive computing environments, in which user attention is at a premium. To support the development of context-aware applications, techniques for modelling context information are required. These must address a unique combination of requirements, including the ability to model information supplied by both sensors and people, to represent imperfect information, and to capture context histories. As the field of context-aware computing is relatively new, mature solutions for context modelling do not exist, and researchers rely on information modelling solutions developed for other purposes. In our research, we have been using a variant of Object-Role Modeling (ORM) to model context. In this paper, we reflect on our experiences and outline some research challenges in this area.

Stressful working conditions and poor self-rated health among financial services employees

OBJECTIVE: To assess the association between exposure to adverse psychosocial working conditions and poor self-rated health among bank employees. METHODS: A cross-sectional study including a sample of 2,054 employees of a government bank was conducted in 2008. Self-rated health was assessed by a single question: "In general, would you say your health is (...)." Exposure to adverse psychosocial working conditions was evaluated by the effort-reward imbalance model and the demand-control model. Information on other independent variables was obtained through a self-administered semi-structured questionnaire. A multiple logistic regression analysis was performed and odds ratio calculated to assess independent associations between adverse psychosocial working conditions and poor self-rated health. RESULTS: The overall prevalence of poor self-rated health was 9%, with no significant gender difference. Exposure to high demand and low control environment at work was associated with poor self-rated health. Employees with high effort-reward imbalance and overcommitment also reported poor self-rated health, with a dose-response relationship. Social support at work was inversely related to poor self-rated health, with a dose-response relationship. CONCLUSIONS: Exposure to adverse psychosocial work factors assessed based on the effort-reward imbalance model and the demand-control model is independently associated with poor self-rated health among the workers studied.

Spatial statistical analysis and selection of genotypes in plant breeding

The objective of this study was to evaluate the efficiency of spatial statistical analysis in the selection of genotypes in a plant breeding program and, particularly, to demonstrate the benefits of the approach when experimental observations are not spatially independent. The basic material of this study was a yield trial of soybean lines, with five check varieties (of fixed effect) and 110 test lines (of random effects), in an augmented block design. The spatial analysis used a random field linear model (RFML), with a covariance function estimated from the residuals of the analysis considering independent errors. Results showed a residual autocorrelation of significant magnitude and extension (range), which allowed a better discrimination among genotypes (increase of the power of statistical tests, reduction in the standard errors of estimates and predictors, and a greater amplitude of predictor values) when the spatial analysis was applied. Furthermore, the spatial analysis led to a different ranking of the genetic materials, in comparison with the non-spatial analysis, and a selection less influenced by local variation effects was obtained.

Development of category planning process in construction business

The aim of this thesis was to develop the category planning process in the case company operating in construction industry. As the interest in the field of research has just recently started to emerge towards the benefits of category management and planning, the theoretical background was derived from literature of subjects with a relation to category planning i.e. procurement strategy, purchasing portfolio model, information flow management and cost analysis. The background for the development of category planning process was derived from retail industry, to where the category planning is more researched. The empirical study was executed with mixed method approach: quantitative data of the categories was analyzed and qualitative data was gathered through semi-structured interview and discussions within the case company. As a result, the category planning process was critically analyzed and development proposals addressed for improving the process description. Additionally a tool was developed based on the empirical study to support the category planning process of the case company.

Laadunhallintajärjestelmäprojektin suunnittelu ja projektiorganisaation toimintatapojen kartoittaminen

Tämän diplomityön tavoitteina oli luoda suunnitelma ISO 9001 ja 14001 -sertifikaatteihin oikeuttavalle laadunhallintajärjestelmälle ja luoda malli projektiorganisaation toiminnan mittaamiselle ja kehittämiselle. Lisäksi työn tarkoituksena oli luoda teoreettinen osaamispohja projektipäällikölle laadunhallintajärjestelmäprojektin läpiviemisen tueksi. Työssä perehdyttiin laadunhallinnan periaatteisiin, tietojärjestelmäprojektikehityksen elinkaareen, tietojärjestelmäprojektien kriittisiin menestystekijöihin ja itsearviointimallin laatimisperiaatteisiin. Diplomityön kanssa lomittain suoritetulle laadunhallintajärjestelmäprojektille parhaiten sopivat käytännöt tunnistettiin kirjallisuudesta sekä puolistrukturoidulla haastattelulla Volvo Finland Ab:n johdon edustajille. Työssä luodun suunnitelman mukainen laadunhallintajärjestelmä toteutettiin Volvo Finland Ab:lle yhdessä nelikymmenhenkisen projektiorganisaation kanssa. Projektin aikana tehdyn aktiivisen, osallistuvan havainnoinnin ja diplomityössä luodun itsearviointimallin perusteella kartoitettiin projektiorganisaatiolle parhaiten sopivat toimintamenetelmät. Toimintamenetelmäkartoituksen tuloksena todettiin, että organisaation tietotaito on vertikaalista ja tästä syystä resurssienhallinta nostettiin kriittisimmäksi elementiksi projektien onnistumisen kannalta. Resurssienhallinnan tueksi ehdotettiin Stage-Gate-mallia projektien läpiviemiseen. Mallin avulla voitaisiin resurssit hallitusti kohdistaa uudelleen projektin joka vaiheessa.

La gestión de relaciones con clientes (CRM): sector de seguridad privada

Esta tesis pretende describir la situación actual del sector de seguridad privada, al implementar y adoptar estrategias de CRM. Con una revisión confiable y el estudio de casos relacionados con el tema, lo cual permitirá constatar la realidad en cuanto la aplicación del modelo, en el sector de seguridad privada, según lo planteado por diversos autores. Los resultados obtenidos permitirán, de este modo, al sector y a sus gerentes, desarrollar estrategias que ayuden a la satisfacción de sus clientes y a la prestación de un mejor servicio. En el campo académico, este estudio servirá como guía teórico-práctica para estudiantes y profesores, de modo que permitirá afianzar conocimientos en cuanto al CRM, al marketing relacional y su uso en el sector de seguridad privada. Según este modelo la información acerca de los clientes, es una información estratégica vital para las organizaciones que ayuda a la toma de decisiones, pronosticar cambios en cuanto a demanda, además de establecer control sobre procesos en los que se involucre el cliente; de modo que la adopción e implementación de CRM, ayude a la empresa, en este caso a las del sector de seguridad privada, a estar atentos a la manera como se interactúa con el cliente y por ende mejorar el servicio, lo que tendrá repercusión en la percepción que tenga de la organización el cliente. De este modo, se ve como en la actualidad las estrategias de CRM definen el rumbo de una empresa, ayudando atraer nuevos clientes y además de esto, ayuda de igual modo a mantener felices a los clientes actuales; lo cual repercute en la demanda o el requerimiento del servicio, y así en una mejor rentabilidad para las empresas del sector. Razones por las que el sector de vigilancia se verá beneficiado por medio de las estrategias del CRM, lo que lo llevara a ofrecer mejores servicios a sus clientes.

Contribución metodológica en técnicas de diseñar para fabricación

En el proceso de diseño se toman decisiones que pueden afectar a la fabricabilidad del producto. Cuando el diseñador es experto, considera las limitaciones, las propiedades y el coste de fabricación en la fase de materialización o de detalle. El problema surge cuando el diseñador no es experto o cuando no hay suficiente información y conocimiento de fabricación disponible. Tomando como referencia la teoría de Diseño Axiomático y las técnicas de DFM, se propone una metodología para identificar, definir y formalizar la información de fabricación que debería estar disponible en el diseño para diseñar para fabricar (DFM). También se propone un prototipo de modelo de información para desarrollar una futura herramienta informática que facilitaría la aplicación de esta metodología y que permitiría guiar al diseñador durante el diseño. La metodología ha sido aplicada a una biela de un motor de combustión interna alternativo (MCIA), y a los procesos que se están usando actualmente para fabricarla: forja en matriz cerrada y forja de polvo de metal.

Validation of improved TAMANN neural network for operational satellite-derived rainfall estimation in Africa

Real-time rainfall monitoring in Africa is of great practical importance for operational applications in hydrology and agriculture. Satellite data have been used in this context for many years because of the lack of surface observations. This paper describes an improved artificial neural network algorithm for operational applications. The algorithm combines numerical weather model information with the satellite data. Using this algorithm, daily rainfall estimates were derived for 4 yr of the Ethiopian and Zambian main rainy seasons and were compared with two other algorithms-a multiple linear regression making use of the same information as that of the neural network and a satellite-only method. All algorithms were validated against rain gauge data. Overall, the neural network performs best, but the extent to which it does so depends on the calibration/validation protocol. The advantages of the neural network are most evident when calibration data are numerous and close in space and time to the validation data. This result emphasizes the importance of a real-time calibration system.

A simple relation between the Leimkuhler curve and the mean residual life

In this paper, a simple relation between the Leimkuhler curve and the mean residual life is established. The result is illustrated with several models commonly used in informetrics, such as exponential, Pareto and lognormal. Finally, relationships with some other reliability concepts are also presented. (C) 2010 Elsevier Ltd. All rights reserved.