Os sistemas de triagem têm sido utilizados nos serviços de emergência (SE) para determinar a prioridade clínica dos pacientes de acordo com o risco potencial, o nível de gravidade ou o sofrimento do paciente. Este estudo teve como objetivo analisar o sistema de triagem desenvolvido no Hospital de Clínicas de Porto Alegre (HCPA). Este foi um estudo retrospectivo com base de dados originada dos prontuários dos pacientes. A confiabilidade do sistema foi analisada através do acordo interobservadores e a validade usando o nível de triagem como uma variável independente para os seguintes desfechos clínicos: hospitalização, hospitalização de pacientes triados como não urgentes, os óbitos ocorridos dentro de 60 dias, tempo de permanência no SE e retorno não programado ao SE no prazo de 7 dias. O sistema de triagem do HCPA apresentou validade com confiabilidade variando de moderada a forte e correlação significativa entre o nível da triagem e os desfechos clínicos analisados. / The triage systems have been used in emergency departments (SE) to determine the clinical priority of patients according the potential risk, the level of severity or the patient's suffering. This study aimed to evaluate the triage system developed at Hospital de Clinicas de Porto Alegre (HCPA). This was a retrospective study with database originated of the clinical records of patients. The reliability of the system was analyzed through the interrater agreement and the validity of system using the level of triage as an independent variable for the following clinical outcomes: hospitalization, hospitalization of patients triaged as non-urgent, deaths within 60 days, length of stay in the SE and the unscheduled return to the SE within 7 days. The sorting system of HCPA presented validity with reliability ranging from to moderate to strong and significant correlation between the level of triage and to clinical outcomes analyzed.

Orientador: Leonardo de Souza Mendes / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação / Made available in DSpace on 2018-08-18T01:51:30Z (GMT). No. of bitstreams: 1 Marques_EduardoZanoni_M.pdf: 1428094 bytes, checksum: ab4b7bc4527f7bb075ba68a6c6b3c948 (MD5) Previous issue date: 2011 / Resumo: A análise e interpretação dos dados gerados pelos sistemas de informação é uma realidade para as organizações públicas e privadas. Para atender a esta necessidade, surgiram os Sistemas de Suporte à Decisão. Dentre estes, os sistemas de Business Intelligence foram e estão sendo adotados pelo setor privado. No entanto, poucos trabalhos discutem a adoção destes sistemas para o setor público. Este trabalho discute as formas como os sistemas de Business Intelligence podem ser aplicados para auxiliar a administração pública, considerando as particularidades existentes neste setor. Ainda, este trabalho apresenta uma proposta pra construção de um ambiente de Business Intelligence utilizando ferramentas e tecnologias de código aberto. Este ambiente foi aplicado em um cenário real, onde é feita análise dos dados sociais da cidade de Campinas, SP / Abstract: The analysis and interpretation of data generated by information systems is a reality for both public and private organizations. As a solution to this problem, the Decision Support Systems were created. Among those, Business Intelligence systems were and are being adopted in the private organizations. Even though, just a few papers discuss the adoption of these systems in public organizations. This dissertation discusses how Business Intelligence systems can be applied to support public administration, considering the public organizations particularities. Still, it presents a proposal to create a Business Intelligence environment using open source tools and technologies. This environment was applied in a real scenario, where the social data from the city of Campinas, SP, was analyzed / Mestrado / Telecomunicações e Telemática / Mestre em Engenharia Elétrica

In this study, an attempt is made to apply Decision Support Systems (DSS) in planning for the expansion of energy generation infrastructure in Nigeria. There is an increasing demand for energy in that country, and the study will try to show that DSS modelling, using A Mathematical Programming Language (AMPL) as the modelling tool, can offer satisficing results which would be a good decision support resource for motivating how to expend investment for energy generation. / +46707267798

Submitted in fulfillment of the requirements for the Master's Degree in Information and Communication Technology, Durban, University of Technology, Durban, South Africa, 2017. / This dissertation reports on the development of an algorithm based on an existing matchmaking method to solve diverse decision problems in a multi-person environment. The capacity to effectively achieve a lucrative and accurate decision making is a critical aspect of resource management. But the accuracy of a decision making process can be highly compromised because of the high subjectivity and multiple conflicting attributes that are present in human judgement. multi-person decision making is an effective approach for achieving a lucrative and accurate decision making process. The multi-person decision process has proven to be tedious mainly because the existing multi-person decision making methods are extensions of single decision making methods. This imposes additional computational resources, especially for a large number of decision makers because they aggregate the preferences of several decision makers into a unified format.This work therefore seeks to improve the multi-person decision making process using a matchmaking approach. In doing so, the Hunt ForTune matchmaking algorithm was investigated and improved for this purpose. Thus, the preferences of decision makers for each attribute are collected as an attribute description vector. The attribute, its description vector, flexibility and priority vector are compactly represented as a 4-tuple profile. The improved Hunt ForTune matchmaking algorithm is applied to different sets of multi-person decision problems and offered as an effective way of enhancing decision accuracy. The improved matchmaking decision algorithm is compared with a novel mathematical technique of Hausdorff distance. Results generally show that multi-person matchmaking algorithm is suitable and efficient for diverse decision making in the presence of multiple decision makers. The practical implication of the proposed multi-person matchmaking algorithm for decision making is that it provides a less complicated way to capture and represent the preferences of multiple decision makers irrespective of decision domain. The originality of the work reported in this dissertation is built on a matchmaking algorithm by introducing effective profile representation using vector analysis approach to capture the preferences of multiple decision makers and similarity metrics to provide an efficient and robust way to accurately perform a multi-person decision process. / M

Today's technological development means that organizations are constantly evolving. This means that the market, which the organizations operate in, is constantly changing and becoming more complex to interpret. This development increases the demand to forecast possible outcomes and receive real-time information from the operations – i.e., obtain the most accurate data for decision-support. To make this possible, organizations need so-called ‘decision support systems’; IT-tools that rapidly provide decision makers with information based on relevant data. To obtain the highest possible value from the systems, they must seamlessly integrate and interact with the organization. This study examines how decision support systems, organizations and users relate to each other in an organizational context. The aim is to provide an insight into the limitations and possibilities of human behaviour, technological development and organizational structure to create and enable relevant and effective decision support systems. The paper’s theoretical framework is based on Orlikowski’s (1992) structurational model. The empirical material consists of semi-structured interviews, which are analysed based on Orlikowski’s model. The results show that although there is a common understanding on how the different factors should interact in order for the decision support systems to function the respondents neglected their own influence as users of the systems. / Dagens teknikutveckling medför att organisationer hela tiden utvecklas och förändras. Det i sin tur medför att den marknad organisationer agerar på förändras och blir alltmer komplex att tolka. Denna utveckling ökar efterfrågan att förutspå sannolika utfall, få information om verksamheten i realtid, kort sagt få ett korrekt beslutsunderlag. För att detta ska vara möjligt behövs IT-verktyg som snabbt kan förse beslutsfattare med underlag som grundar sig på relevanta data, så kallade beslutsstödsystem. För att få ut mesta möjliga värde från beslutsstödsystemen ställs höga krav på att de integreras och samverkar med organisationen. I studien undersöks hur beslutsstödsystem, organisationer och användare förhåller sig till varandra i en organisatorisk kontext. Målet är att ge en inblick i de begränsningar och möjligheter människors agerande, teknikens utveckling och organisationens struktur skapar för att möjliggöra relevanta och effektiva system för beslutsstöd. Studiens teoretiska ramverk tar sin utgångspunkt i Orlikowskis (1992) struktureringsmodell. Det empiriska materialet utgörs av semistrukturerade intervjuer som analyseras med utgångspunkt från Orlikowskis modell. Resultatet visar att även om det överlag finns en förståelse för hur olika faktorer bör samspela för att beslutsstödsystemen ska fungera, tonar respondenterna ner sin egen betydelse som användare av systemen.

This paper describes the development of a simulation model for the ambulance flow in the Västra Götalands-region of Sweden, and an analysis tool for the output of the simulation model. The aim of the simulation model was to be able to evaluate the outcome from changes in the ambulance operations, such as a reorganization of ambulances or an increase in intensity of the ambulance calls. This evaluation is meant to serve as decision support for the strategic planning of the ambulance operations. The analysis tool was developed to visualize the abundant geographical data produced by the simulation model in a meaningful way. The simulation model was validated against historical data which showed that the dispatch time for the highest prioritized ambulance calls corresponds well with historical data. However, other metrics indicates that further modelling might be required to increase the accuracy of the simulation model. Most notable, ambulance dispatches for ambulance calls of lower priority differed significantly from historical data. Specific modifications to the model to correct this difference are mentioned. Finally, there are some suggestions for improving the accuracy of the simulation model and a brief discussion about future development. / Denna uppsats behandlar utvecklingen av en simuleringsmodell över ambulansverksamheten i Västra Götalands-regionen samt ett analys verktyg som visualiserar den geografiska data som produceras av simuleringsmodellen. Syftet med simuleringsmodellen var att kunna undersöka hur ambulansverksamheten påverkas av olika förändringar, till exempel en ökning av antalet nödsamtal eller en omstationering av ambulansfordon. Speciellt intressant är att mäta vilken påverkan dessa förändringar har på framkörningstiden (tiden från att ett samtal ankommer tills att ambulansen anländer på plats). Verktyget är i framtiden tänkt att användas som beslutsstöd för den strategiska planeringen av ambulansverksamheten. Simuleringsmodellen validerades mot historiskt data, vilket visade delvis goda resultat. Framför allt överrensstämmer framkörningstiden för de högst prioriterade ambulansärendena väl med historisk data. För lägre prioriterade ambulansärenden kvarstår dock systematiska skillnader mellan simulerad- och historisk framkörningstid. Möjliga orsaker till dessa skillnader diskuteras och förslag ges på hur man kan korrigera detta. Uppsatsen avslutas med förslag på hur simuleringsmodellen kan förbättras samt en kort diskussion om framtida utveckling.

This article seeks to enhance acceptance of the profile distance method (PDM) in decision support systems. The PDM is a multiple attributive based decision making as well as a multiple method approach to support complex decision making and uses a heuristic to avoid computationally complex global optimization. We elaborate on the usability of the method and question the heuristic used. We present a bisection algorithm, which efficiently supports the discovery of transition profiles needed in a user-friendly and practical application of the method. Additionally, we provide empirical evidence showing that the proposed heuristic is efficient and delivers results within 5% of the global optimizer for a wide range of data sets.

M.Comm. / The fertiliser and related activities of Sasol Fertilizers were consolidated during 2000 under the new name Sasol Agri. Sasol Fertilizers is a business unit of Sasol Agri, and is responsible for the manufacturing and marketing of quality fertiliser products for the group. Through its business units, Sasol Agri manufactures a full range of granular and liquid fertilisers, bulk-blend mixtures, ammoniated phosphates, sulphate of ammonia and nitrogenous products for the South African and export markets. This division was established in 1981 to use ammonia derived from the Sasol coal to oil refining process to produce fertiliser. Production commenced in 1983. Today Sasol Fertilizers is a dynamic producer and marketer of fertiliser products in both local and export markets. The Sasol Fertilizers factory is located in Secunda, about 150 kilometres expanded its investment in liquid fertilisers by acquiring the remaining 50% shareholding in the Delmas Fertiliser Group. This business has been identified as a growth area and additional resources have been allocated to product development and expansion in South Africa to service local demand.

Dissertation submitted in complete fulfilment for the requirements of the Degree of Master of Technology in Information Technology, M L Sultan Technikon, 1998. / Decision Support Systems (DSS) are interactive computer-based systems developed to support managers in complex tasks requiring human judgment. DSS utilise data, provide an easy user interface and allow for the decision maker's own insights. / M

The aim of this study is to examine key implementation and managerial issues surrounding the use of a Geographic Information Systems (GIS) as a Decisions Support Tool (DST) for planning and managing development interventions. Ever since the emergence of GIS as a powerful analytical tool in almost all spheres of human endeavour, many organisations involved in development work have adopted its use. But the challenges of conceiving and implementing a GIS in ways that are more responsive to the problems that trigger its purchase remains a daunting task to many development organisations; even those with a wealth of experience in GIS. This is one of the motivating factors for this study. In this research, some relevant themes in GIS implementation and GIS management as a Spatial Decision Support System (SDSS) were examined in the literature review. A case study research strategy was used focusing on the experience of the Nelson Mandela Bay Municipality Enterprise GIS (EGIS). The study examined how the system is been ran and what other development organisations can learn from this experience. Data was collected and analysed using a mixed research methods approach. The findings show a good level of GIS acceptance among municipality staff. However, running the system is not hitch free. A couple of problems and challenges were identified on the field. It is recommended that the municipality like most development organisations seeking GIS solutions should put the user at the centre of every technical innovation in GIS as a DST.