93 resultados para HCE


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Background In Switzerland, age is the predominant driver of solidarity transfers in risk adjustment (RA). Concerns have been voiced regarding growing imbalances in cost sharing between young and old insured due to demographic changes (larger fraction of elderly >65 years and rise in average age). Particularly young adults aged 19–25 with limited incomes have to shoulder increasing solidarity burdens. Between 1996 and 2011, monthly intergenerational solidarity payments for young adults have doubled from CHF 87 to CHF 182, which corresponds to the highest absolute transfer increase of all age groups. Results By constructing models for age-specific RA growth and for calculating the lifetime sum of RA transfers we investigated the causes and consequences of demographic changes on RA payments. The models suggest that the main driver for RA increases in the past was below average health care expenditure (HCE) growth in young adults, which was only half as high (average 2% per year) compared with older adults (average 4% per year). Shifts in age group distributions were only accountable for 2% of the CHF 95 rise in RA payments. Despite rising risk adjustment debts for young insured the balance of lifetime transfers remains positive as long as HCE growth rates are greater than the discount rate used in this model (3%). Moreover, the life-cycle model predicts that the lifetime rate of return on RA payments may even be further increased by demographic changes. Nevertheless, continued growth of RA contributions may overwhelm vulnerable age groups such as young adults. We therefore propose methods to limit the burden of social health insurance for specific age groups (e.g. young adults in Switzerland) by capping solidarity payments. Conclusions Taken together, our mathematical modelling framework helps to gain a better understanding of how demographic changes interact with risk adjustment and how redistribution of funds between age groups can be controlled without inducing further selection incentives. Those methods can help to construct more equitable systems of health financing in light of population aging.

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Part II - Christoph Neuenschwander: Language ideologies in the legitimisation of Tok Pisin as a lingua franca Pidgins and Creoles all over the world seem to share common aspects in the historical circumstances of their genesis and evolution. They all emerged in the context of colonialism, in which not only colonisers and colonised, but also the various groups of the colonised population spoke different languages. Pidgins and Creoles, quite simply, resulted from the need to communicate.¬¬ Yet, the degree to which they became accepted as a lingua franca or in fact even as a linguistic variety in its own right, strikingly differs from variety to variety. The current research project focuses on two Pacific Creoles: Tok Pisin, spoken on Papua New Guinea, and Hawai'i Creole English (HCE). Whereas Tok Pisin is a highly stabilised and legitimised variety, used as a lingua franca in one of the most linguistically diverse countries on Earth, HCE seems to be regarded as nothing more than broken English by a vast majority of the Hawai'ian population. The aim of this project is to examine the metalinguistic comments about both varieties and to analyse the public discourses, in which the status of Tok Pisin and HCE were and still are negotiated. More precisely, language ideologies shall be identified and compared in the two contexts. Ultimately, this might help us understand the mechanisms that underlie the processes of legitimisation or stigmatisation. As Laura Tresch will run a parallel research project on language ideologies on new dialects (New Zealand English and Estuary English), a comparison between the findings of both projects may produce even more insights into those mechanisms. The next months of the project will be dedicated to investigating the metalinguistic discourse in Papua New Guinea. In order to collect a wide range of manifestations of language ideologies, i.e. instances of (lay and academic) commentary on Tok Pisin, it makes sense to look at a relatively large period of time and to single out events that are likely to have stimulated such manifestations. In the history of Papua New Guinea - and in the history of Tok Pisin, in particular - several important social and political events concerning the use and the status of the language can be detected. One example might be public debates on education policy. The presentation at the CSLS Winter School 2014 will provide a brief introduction to the history of Tok Pisin and raise the methodological question of how to spot potential sites of language-ideological production.

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El presente Trabajo Fin de Grado (TFG) surge de la necesidad de disponer de tecnologías que faciliten el Procesamiento de Lenguaje Natural (NLP) en español dentro del sector de la medicina. Centrado concretamente en la extracción de conocimiento de las historias clínicas electrónicas (HCE), que recogen toda la información relacionada con la salud del paciente y en particular, de los documentos recogidos en dichas historias, pretende la obtención de todos los términos relacionados con la medicina. El Procesamiento de Lenguaje Natural permite la obtención de datos estructurados a partir de información no estructurada. Estas técnicas permiten un análisis de texto que genera etiquetas aportando significado semántico a las palabras para la manipulación de información. A partir de la investigación realizada del estado del arte en NLP y de las tecnologías existentes para otras lenguas, se propone como solución un módulo de anotación de términos médicos extraídos de documentos clínicos. Como términos médicos se han considerado síntomas, enfermedades, partes del cuerpo o tratamientos obtenidos de UMLS, una ontología categorizada que agrega distintas fuentes de datos médicos. Se ha realizado el diseño y la implementación del módulo así como el análisis de los resultados obtenidos realizando una evaluación con treinta y dos documentos que contenían 1372 menciones de terminología médica y que han dado un resultado medio de Precisión: 70,4%, Recall: 36,2%, Accuracy: 31,4% y F-Measure: 47,2%.---ABSTRACT---This Final Thesis arises from the need for technologies that facilitate the Natural Language Processing (NLP) in Spanish in the medical sector. Specifically it is focused on extracting knowledge from Electronic Health Records (EHR), which contain all the information related to the patient's health and, in particular, it expects to obtain all the terms related to medicine from the documents contained in these records. Natural Language Processing allows us to obtain structured information from unstructured data. These techniques enable analysis of text generating labels providing semantic meaning to words for handling information. From the investigation of the state of the art in NLP and existing technologies in other languages, an annotation module of medical terms extracted from clinical documents is proposed as a solution. Symptoms, diseases, body parts or treatments are considered part of the medical terms contained in UMLS ontology which is categorized joining different sources of medical data. This project has completed the design and implementation of a module and the analysis of the results have been obtained. Thirty two documents which contain 1372 mentions of medical terminology have been evaluated and the average results obtained are: Precision: 70.4% Recall: 36.2% Accuracy: 31.4% and F-Measure: 47.2%.

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Indiana Department of Transportation, Indianapolis

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Mode of access: Internet.

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National Highway Traffic Safety Administration, Washington, D.C.

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National Highway Traffic Safety Administration, Washington, D.C.

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National Highway Traffic Safety Administration, Washington, D.C.

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National Highway Traffic Safety Administration, Office of Driver and Pedestrian Research, Washington, D.C.

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National Highway Traffic Safety Administration, Washington, D.C.

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National Highway Traffic Safety Administration, Washington, D.C.

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National Highway Traffic Safety Administration, Washington, D.C.