abstract: Prognostics and health management (PHM) is a method that permits the reliability of a system to be evaluated in its actual application conditions. This work involved developing a robust system to determine the advent of failure. Using the data from the PHM experiment, a model was developed to estimate the prognostic features and build a condition based system based on measured prognostics. To enable prognostics, a framework was developed to extract load parameters required for damage assessment from irregular time-load data. As a part of the methodology, a database engine was built to maintain and monitor the experimental data. This framework helps in significant reduction of the time-load data without compromising features that are essential for damage estimation. A failure precursor based approach was used for remaining life prognostics. The developed system has a throughput of 4MB/sec with 90% latency within 100msec. This work hence provides an overview on Prognostic framework survey, Prognostics Framework architecture and design approach with a robust system implementation. / Dissertation/Thesis / M.S. Computer Science 2010

Titel: Patient Data Management System (PDMS) – Anestesi- och intensivvårdspersonalens upplevelser av implementering och arbete med PDMS. Bakgrund: Dagens och framtidens sjukvård innebär en ökande användning av digitala system i omvårdnaden. Patient Data Management System (PDMS) är ett kliniskt informationssystem och beslutsstöd som implementeras allt mer på svenska sjukhus. Tidigare forskning visar på skilda upplevelser av digitala systems påverkan på omvårdnaden, arbetsbelastning och tidsåtgång. Syfte: Syftet är att beskriva anestesi- och intensivvårdspersonalens upplevelser av implementering och arbete med PDMS. Metod: Studien genomfördes som en intervjustudie med kvalitativ ansats. Resultat: I resultatet framträder fyra teman, införandeprocessen, användarvänlighet, informationsöverföring samt patientsäkerhet. Dessa fyra teman skildrar vårdpersonalens upplevelser av införandet och arbetet med PDMS. Konklusion: PDMS implementeras på allt fler sjukhus i Sverige. Vårdpersonalen anser att det är mycket viktigt med information och utbildning inför implementeringen av PDMS. Helhetssynen på sjukhusets datasystem är viktigt då det framkommer att olika system inte alltid kommunicerar med varandra. Det leder till ökad arbetsbelastning och ökad risk för patientsäkerheten. Mer forskning om PDMS påverkan på omvårdnadsarbetet och patientsäkerheten behövs. / Title: Patient Data Management System (PDMS) – Anesthesia- and intensive care staff experiences of implementation and work with PDMS. Background: Todays and future healthcare means an increasing use of digital systems in nursing care. Patient Data Management System (PDMS) is a clinical information system and clinical decision support which is implemented in swedish hospitals. Previous research shows different experiences of digital systems impact on nursing care, workload and patient safety. Aim: The purpose was to describe anesthesia- and intensive care unit staff experiences of implementation and work with PDMS. Method: The study was conducted by interviews with a qualitative approach. Results: In the result four themes appear, process of introduction, serviceability, transfer of information and patient safety. The four themes depict the anesthesia- and intensive care unit staff experiences of the implementation and work with PDMS. Conclusion: PDMS is implemented in an increasing number of swedish hospitals. The anesthesia- and intensive care unit staff consider it very important with information and education before implementation of PDMS. The comprehensive view on the hospitals computer system is important due to the fact that these systems appear not to always be in synchronization with each other. That leads to an increased workload and also an increased risk regarding patient safety. More research on the PDMS impact on nursing and patient safety are needed.

Bakgrund: PDMS, Patient Data Management System, är ett kliniskt informationssystem som är speciellt utvecklat för intensivvård som genererar stora mängder patientdata. Systemet samlar automatiskt in patientdata från övervakning och medicinskteknisk apparatur och presenterar informationen på ett överskådligt sätt. Tidigare forskning belyser framförallt användbarheten, den minskade dokumentationstiden samt fördelar med läkemedelshanteringen men visar motsägelsefulla resultat vad gäller vad den frigjorda tiden används till. Syfte: att belysa intensivvårdssjuksköterskors erfarenhet av att använda PDMS i vårdarbetet. Metod: kvalitativ intervjustudie med intensivvårdssjuksköterskor som analyserats med hjälp av en kvalitativ innehållsanalys. Resultat: i resultatet framträder fem kategorier; patientnära vårdande, evidensbaserad vård, olika former av kvalitetsutveckling, säker vård och informatik. Dessa kategorier återger intensivvårdssjuksköterskornas erfarenheter av att arbeta med PDMS och resultatet visar tydligt att PDMS ökar patientsäkerheten på flera sätt. Konklusion: Ökad vårdkvalitet, minskad dokumentationstid, mer lättförståeligt kontinuerligt lärande för personalen, möjlighet till uppföljning och forskning samt säkrare läkemedelshantering anses vara de största vinsterna med PDMS. Sammantaget bidrar samtliga faktorer till en ökad patientsäkerhet. / Background: PDMS, Patient Data Management System, is a clinical information system specially developed for intensive care which generates a large amount of patient data. The system automatically collects patient data from monitoring and medical equipment and presents the information in a clear overall view. Previous research highlights especially usability of the system, reduced time spent on documentation and benefits with handling medications but shows contradictory results in terms of what the released time is used for. Aim: to highlight intensive care nurses experiences of using PDMS in nursing. Method: qualitative interview-study with intensive care nurses which was analyzed with qualitative content analysis. Results: five categories came forward in the result; close-to-patient care, evidece-based care, different forms of quality developement, safe care and informatics. These categories reflects the experiences of working with PDMS among intensive care nurses and the results clearly demonstrate that PDMS increases patient safety for several reasons. Conclusion: increased quality of care, reduced documentation time, more easy-to-understand continuous learning for the staff, opportunity to follow-up and posibility for reasearch and safer handling with medications are considered the biggest gains with PDMS. Overall, all factors contribute to increased patient safety.

A engenharia simultânea e os sistemas de gerenciamento de dados de produto(PDM), apesar de serem uma ajuda preciosa para que as empresas enfrentem as novas condições de sobrevivência no mercado atual, não são muito conhecidos. Além disso, existem poucos trabalhos científicos relacionados à implantação e ao auxílio deste tipo sistema no gerenciamento de dados em ambiente de engenharia simultânea. Neste trabalho procura-se levantar, segundo a bibliografia, as necessidades de gerenciamento de dados em ambientes de engenharia simultânea, comparar as necessidades de gerenciamento de dados encontradas na bibliografia com as necessidades de um caso de implantação real, levantar quais funcionalidades de sistemas PDM (product data management) suprem as necessidades encontradas, e caracterizar um projeto de implantação real de um sistema PDM em um ambiente de engenharia simultânea. / The concurrent engineering and the product data management systems(PDM), although being a precious aid to allow the companies to face the new survival conditions in the current market, are not very well-known. Besides that, few scientific works related to the implementation of this kind of system and their usage in the data management of data in a concurrent engineering environment are available. The objectives of this work are: to rise, according to the bibliography, the needs of data management in a concurrent engineering environment, to compare those needs with the ones of a real implementation case, to rise which functionality of PDM (Product Data Management) systems supply the founded needs, and to characterize a project of a real PDM system implementation in an environment of concurrent engineering.

A engenharia simultânea e os sistemas de gerenciamento de dados de produto(PDM), apesar de serem uma ajuda preciosa para que as empresas enfrentem as novas condições de sobrevivência no mercado atual, não são muito conhecidos. Além disso, existem poucos trabalhos científicos relacionados à implantação e ao auxílio deste tipo sistema no gerenciamento de dados em ambiente de engenharia simultânea. Neste trabalho procura-se levantar, segundo a bibliografia, as necessidades de gerenciamento de dados em ambientes de engenharia simultânea, comparar as necessidades de gerenciamento de dados encontradas na bibliografia com as necessidades de um caso de implantação real, levantar quais funcionalidades de sistemas PDM (product data management) suprem as necessidades encontradas, e caracterizar um projeto de implantação real de um sistema PDM em um ambiente de engenharia simultânea. / The concurrent engineering and the product data management systems(PDM), although being a precious aid to allow the companies to face the new survival conditions in the current market, are not very well-known. Besides that, few scientific works related to the implementation of this kind of system and their usage in the data management of data in a concurrent engineering environment are available. The objectives of this work are: to rise, according to the bibliography, the needs of data management in a concurrent engineering environment, to compare those needs with the ones of a real implementation case, to rise which functionality of PDM (Product Data Management) systems supply the founded needs, and to characterize a project of a real PDM system implementation in an environment of concurrent engineering.

Submitted by Nayara Passos (nayara.passos@ufpe.br) on 2015-03-11T19:28:27Z No. of bitstreams: 2 TESE Crishane Azevedo Freire.pdf: 2913439 bytes, checksum: 6da007914a1bc532cd0681ed751d6e4c (MD5) license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) / Made available in DSpace on 2015-03-11T19:28:27Z (GMT). No. of bitstreams: 2 TESE Crishane Azevedo Freire.pdf: 2913439 bytes, checksum: 6da007914a1bc532cd0681ed751d6e4c (MD5) license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Previous issue date: 2014 / Os Peer Data Management Systems (PDMS) são sistemas que permitem o gerenciamento de dados estruturados e semiestruturados em ambientes Ponto-a-Ponto (P2P). Nestes sistemas, cada ponto corresponde a uma fonte de dados cujo esquema representa os dados que se deseja compartilhar na rede. Pontos estão conectados por meio de mapeamentos (correspondências semânticas entre os esquemas dos pontos) estabelecendo uma vizinhança semântica entre eles. O processamento de consultas é reconhecido como o principal serviço que um PDMS pode prover. Uma etapa importante deste processo está relacionada ao roteamento da consulta, ou seja, a habilidade do sistema de identificar, selecionar e fazer o encaminhamento da consulta ao melhor conjunto de pontos capazes de respondê-la. A cada encaminhamento a consulta precisa ser reformulada, ou seja, reescrita de acordo com o esquema do ponto destino. Na reformulação, termos (conceitos e/ou propriedades utilizados na formulação da consulta) podem ser perdidos por não possuírem correspondentes exatos no esquema do ponto destino. Neste caso, estratégias de reformulação que usam expansão buscam melhorar a consulta adicionando novos termos com o objetivo de tornar a consulta mais abrangente e evitar a ausência de resultados. Ao longo do roteamento, termos perdidos ou adicionados, a cada reformulação, podem levar à perda semântica da consulta original. Neste trabalho apresentamos a SemRouting, uma abordagem para o roteamento de consultas em PDMS baseada no uso de aspectos semânticos e de qualidade. A abordagem SemRouting compreende uma estratégia para identificação e seleção do melhor conjunto de pontos, um modelo para representação das informações semânticas e de qualidade e uma estratégia para análise e preservação da semântica da consulta original durante o roteamento. Para avaliação da abordagem, experimentos foram realizados e os resultados discutidos e apresentados. A análise dos resultados produzidos nos experimentos mostra que as estratégias adotadas na abordagem SemRouting confirmam as hipóteses levantadas nesta tese em relação à preservação semântica da consulta e à seleção do melhor conjunto de pontos durante o roteamento da consulta. Palavras-chave: Roteamento Semântico de Consulta. Informação Semântica. Qualidade da Informação. Peer Data Management System.

Submitted to the faculty of the School of Informatics in partial fulfillment of the requirements for the degree Master of Science in Chemical Informatics (Laboratory Informatics Specialization), Indiana University, June 2006 / Industry and academic laboratories have long resisted conversion to electronic laboratory notebooks (ELN) while at the same time integrating many other kinds of information systems, most notably laboratory information management systems (LIMS), chromatography data systems (CDS), and scientific data management systems (SDMS), within laboratory operations. Scientists in both academia and industry stand to gain important functionality unavailable with paper notebooks with the adoption of ELNs such as comprehensive searching of notebooks (keyword, result, and molecular structure/substructure searching, for example); distributed availability; and long term access to data. Currently, most laboratory information systems operate independently, requiring manual data entry by users into each individual system. This process creates data and information disparities as well as creating poor referential integrity within experimental metadata. Electronic laboratory notebooks would provide a logical point around which experiment details and observations could be centered electronically. Through an ELN, experimental documentation or metadata could be communicated automatically with a LIMS, SDMS, or CDS without analyst involvement. This “electronically connected” system would allow analysts to perform their responsibilities without the interruption of independent information systems thus increasing analyst productivity and reducing user entry errors into data management systems. The thesis project consisted of two phases: the first phase was the implementation of an ELN and the second phase was the development of a software developer kit (SDK) for LABTrack based on Web Services. In the first phase of the project the adoption of an ELN, was studied within a classroom laboratory (G823 Introduction to Cell Biology) over the course of one academic semester. In the second phase of the project an SDK for LABTrack was developed to allow the importation of information from custom developed applications into LABTrack. Finally, a web portal integrating LABTrack and NuGenesis was developed to demonstrate the capabilities of the LABTrack SDK and existing capabilities of the NuGenesis SDK.

Patients treated at intensive care units (ICUs) are failing in one or several organs and requireappropriate monitoring and treatment in order to maintain a meaningful life. Today clinicians inintensive care units (ICUs) manage a large amount of data generated from monitoring devices.The monitoring parameters can either be noted down manually on a monitoring sheet or, for some parameters, transferred automatically to storage. In both cases the information is stored withthe aim to support clinicians throughout the intensive care and be easily accessible. Patient datamanagement systems (PDMSs) facilitate ICUs to retrieve and integrate data. Before managinga new configuration of patient data system, it is required that the ICU makes careful analysis ofwhat data desired to be registered. This pilot study provides knowledge of how the monitoringis performed in an Intensive Care Unit in an emergency hospital in Stockholm.The aim of this thesis project was to collect data about what the clinicians require and whatequipment they use today for monitoring. Requirement elicitation is a technique to collectrequirements. Methods used to collect data were active observations and qualitative interviews.Patterns have been found about what the assistant nurses, nurses and physicians’ require of systems supporting the clinician’s with monitoring parameters. Assistant nurses would like tobe released from tasks of taking notes manually. They also question the need for atomized datacollection since they are present observing the patient bed-side. Nurses describe a demanding burden of care and no more activities increasing that burden of care is required. Physicians require support in order to see how an intervention leads to a certain result for individual patients.The results also show that there is information about decision support but no easy way to applythem, better than the ones used today. Clinicians state that there is a need to be able to evaluatethe clinical work with the help of monitoring parameters. The results provide knowledge about which areas the clinicians needs are not supported enough by the exciting tools.To conclude results show that depending on what profession and experience the clinicians have the demands on monitoring support di↵ers. Monitoring at the ICU is performed while observing individual patients, parameters from medical devices, results from medical tests and physical examinations. Information from all these sources is considered by the clinicians and is desired to be supported accordingly before clinicians commit to action resulting in certain treatment,diagnosis and/or care. / Patienter som vårdas på intensivvårdsavdelningar har svikt i ett eller flera organ. Övervakning sker av patienterna för att kunna bidra till den vård som behövs för att upprätthålla ett meningsfullt liv. Idag hanterar sjukvårdpersonal en stor mängd data som genereras från övervakningsutrustning och system förknippade med övervakningsutrustning. Övervakningsparameterar kan antecknas förhand på ett övervakningspapper eller direkt sparas i digitalt format. Parameterarna sparas med syfte att vara ett lättillgängligt underlag under hela intensivvårdsprocessen. Patient data management systems (PDMSs) förenklar hämtning och integrering av data på exempelvis intensivvårdsavdelningar. Innan en ny konfiguration av ett patientdatasystem erhålls, är det eftersträvnadsvärt att intensivvårdsavdelningen analyserar vilken datasom skall hanteras. Detta examensarbete bidrog till kunskap om hur övervakning utförs på en intensivvårdsavdelning, på ett akutsjukhus i Stockholm. Målet med detta examensarbete var att insamla data om vad klinikerna behöver och vilken utrustning och system som de använder idag för att utföra övervakning. Behovsframkallning är en teknik som kan användas för att insamla krav. I detta projekt insamlades data genom aktivaobservationer och kvalitativa intervjuer. Mönster har hittats bland undersköterskornas, sjuksköterskornas och läkarnas behov av teknisksupport från system och utrustning som stödjer sjukvårdspersonalen under övervakningen av en patient. Undersköterskor uttrycker ett behov av att bli avlastade från uppgifter så som att manuellt skrivaner vitala parametervärden. De ifrågasätter behovet av automatiserad datahämtning eftersom de ständigt är närvarande bredvid patienten. Sjuksköterskor beskriver en hög vårdtyngd och önskaratt inte bli tillägnade fler aktiviteter som ökar den vårdtyngden. Läkare beskriver ett behov av ökat stöd för hur en interversion leder till resultat för individuella patienter. Resultaten visar attdet finns information om möjliga kliniska beslutsstöd utan givet sätt att applicera dessa, bättre än de sätt som används idag. Sjukvårdspersonalen hävdar att det det finns ett behov av att utvärdera det kliniska arbetet med hjälp av övervakningsparametrar. Resultaten utgör kunskap om vilka områden som sjukvårdpersonalens behov inte har stöd av nuvarnade verktyg. Resultaten visar att beroende på vilken profession och erfarenhet som sjukvårdspersonalen har, är behoven olika. På intensivvårdsavdelningen sker övervakning då enskilda patienter visuellt observeras såväl som övervakningsparametrar från medicintekniska produkter, resultat från medicinska tester och fysiska examinationer. Det finns behov att integrera och presenterainformation från dessa källor givet kunskap om att sjukvårdpersonalen fattar beslut på dessa som resulterar i behandling, diagnostik och/eller vård.

An experimental data management system has been designed, developed, and implemented in this dissertation. The system satisfies the requirements specifications of the Department of Curriculum and Instruction in the School of Education. The university in this study has installed some learning management systems and assessment systems, such as Banner®, Canvas®, TracDat®, and Taskstream® (university’s name is omitted for anonymity purposes). These systems individually do not perform the necessary data analysis and data management to generate appropriate reports. The system developed in this study can generate more metrics and quantitative measures for reporting purposes within a shorter time. These metrics provide credible evidence for accreditation. Leadership is concerned with improving the effectiveness, efficiency, accountability, and performance of educational programs. The continuity, sustainability, and financial support of programs depend on demonstrating the evidence that they are effective and efficient, that they meet their objectives, and that they contribute to the mission and the vision of the educational institution. Leadership has to employ all means at its disposal in order to collect such evidence. The data management system provides comprehensive data analysis that can be utilized as evidence by the leadership to accomplish its goals. The pilot system developed in this research is web-based and platform independent. It leverages the power of Java® at the front-endand combines the reliability and stability of Oracle® as the back-end database. It has been tested on-site by some members of the departmental faculty and one administrator from the Dean’s Office in the School of Education. This research is a mixed methods study with quasi-experimental treatment. It is a single case experimental study. There is no control group. The sample chosen is a convenient sample. The results of this study indicate that the system is highly usable for assessment work. The data analysis results generated by the system are also actionable. These results assist by identifying gaps in student performance and in curriculum and instruction practices. In the future, the system developed in this dissertation can be extended to other departments in the School of Education. Some implications are provided in the concluding chapter of this dissertation.

A use case for a data management system for machine-to-machine communication was defined. A centralized system for managing data flow and storage is required for machines to securely communicate with other machines. Embedded devices are typical endpoints that must be serviced by this system and the system must, therefore, be easy to use. These systems have to bill the data usage of the machines that make use of its services. Data management systems are subject to variable load and must there- fore be able to scale dynamically on demand in order to service end- points. For robustness of such an online-service it must be highly available. By following design science research as the research methodology, cloud-based computing was investigated as a target deployment for such a data management system in this research project. An implementation of a cloud-based system was synthesised, evaluated and tested, and shown to be valid for this use case. Empirical testing and a practical field test validated the proposal. / Thesis (MIng (Computer and Electronic Engineering))--North-West University, Potchefstroom Campus, 2013.