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.

Submitted by Elizabete Cristina de Souza de Aguiar Monteiro null (beteaguia@yahoo.com.br) on 2017-03-16T13:34:19Z No. of bitstreams: 1 dissertação final repositorio.pdf: 2620985 bytes, checksum: 7f381cc199ed6199b0c4323398fde01a (MD5) / Approved for entry into archive by LUIZA DE MENEZES ROMANETTO (luizamenezes@reitoria.unesp.br) on 2017-03-16T13:44:52Z (GMT) No. of bitstreams: 1 monteiro_ecsa_me_mar.pdf: 2620985 bytes, checksum: 7f381cc199ed6199b0c4323398fde01a (MD5) / Made available in DSpace on 2017-03-16T13:44:52Z (GMT). No. of bitstreams: 1 monteiro_ecsa_me_mar.pdf: 2620985 bytes, checksum: 7f381cc199ed6199b0c4323398fde01a (MD5) Previous issue date: 2017-02-20 / A enchente de dados científicos nos últimos anos apresenta desafios e novas oportunidades. Os desafios incluem a otimização no uso e reuso de dados e as oportunidades, no desenvolvimento de infraestrutura com implementação de repositórios de dados e todas as atividades inerentes a eles como gerenciamento, descrição, disseminação, integração, direitos autorais, privacidade, quando devida, qualidade e preservação de conjunto de dados. O Plano de Gerenciamento de Dados é um documento composto por diretrizes que orientam os pesquisadores na articulação para liberarem seus conjuntos de dados que ficarão depositados nos repositórios. As diretrizes descritas no Plano de Gerenciamento de Dados precisam ser explícitas em relação às questões sobre direito autoral. O licenciamento de dados estabelece claramente os termos de uso evitando problemas jurídico futuros. As licenças Creative Commons e as Open Data Commons são usadas para licenciar dados e justificam o objetivo dessa pesquisa que consistem em investigar como os repositórios de dados das cem melhores universidades do mundo explicitam em seus Planos de Gerenciamento de Dados as recomendações relacionadas aos direitos autorais dos dados. A metodologia utilizada foi baseada na pesquisa quantitativa e qualitativa, incluindo estudo exploratório-descritivo. A coleta de dados foi realizada nos Planos de Gerenciamento de Dados dos repositórios implementados nas 100 melhores universidades do mundo. Os resultados demostram que a maioria das universidades analisadas implementaram repositório de dados, porém não são todos os repositórios que dispõe de PGDs e de orientações relacionadas aos direitos autorais. / The flood of scientific data in recent years presents challenges and new opportunities. Challenges include optimizing the use and reuse of data and opportunities, developing infrastructure with implementation of data repositories and all activities inherent to them such as management, description, dissemination, integration, copyright, privacy, where appropriate, quality and preservation of data set. The Data Management Plan is a document composed of guidelines that guide the researchers in the articulation to release their datasets that will be deposited in the repositories. The guidelines outlined in the Data Management Plan need to be explicit in relation to copyright issues. The licensing of data clearly establishes the terms of use avoiding future legal problems. Creative Commons and Open Data Commons licenses are used to license data and justify the aims of this research which consists of investigating how the data repositories of the world's top 100 universities spell out in their Data Management Plans the recommendations related to copyright of data. The methodology used was based on quantitative and qualitative research, including an exploratory-descriptive study. The data collection was done in the Data Management Plans of the repositories implemented in the 100 best universities in the world. The results show that most of the universities analyzed have implemented a data repository, but not all repositories have PGDs and copyright guidelines.

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.

Introduction: The subject of research data management is highly topical and university libraries around the world are working hard to establish a well-functioning support as well as technical solutions to deal with sharing and storing research data. Swedish university libraries are no exception, and this study aims to give a clearer view on how these support functions have come to take the form they have today, what they look like now and what the plans are.  Method: For this study eight people working with research data support at six Swedish university libraries were interviewed about the work of the support groups they are part of. These interviews were recorded and transcribed, and then analysed thematically by colour coding themes in the text.  Analysis and results: The findings show that the persons working with data managing support at these six university libraries agree on many points of how the support needs to be developed to meet the students and researchers needs. One of the most important things of what the research data managing groups need to do are to supply more information sessions, workshops, and teaching to reach out with their knowledge and to make people more aware of their existence and competences. Another is making sure technical solutions are in place to store data throughout the different steps of the research data lifecycle. The training and development of the professionals working in the support groups is also a very important part, as this is a changing subject and the rules and regulations do change. Lastly the interviewees underline the importance of solid motivating factors for researchers to share their data. The data support groups can simplify the process of data sharing and make it easier and smoother for the researcher to do it, but if it is unclear why it should be done it will not happen.  Conclusions: The development of the research data support has been, and is, slow and still ongoing. There is still a fair amount of work to be done, especially when it comes to the technical solutions that will enable safe and FAIR data sharing and storing. But the work that needs to be done cannot come only from university libraries and other university support functions, it must come from publishers, funders and other organisations that have the power to change the norms of data sharing. One of the main blockers of open data today is the lack of motivation for researchers to share their data and to be able to reach the goal of open data 2026 the entire system of merits for researchers needs to change and somehow include data sharing as an important part.  This is a two-year master’s thesis in Library and Information Science.

<p>  </p> <p>This project analyzes the concept of time efficiency in the data management process associated with the personnel training and competence assessments in the quality control (QC) laboratory of Nigeria’s foods and drugs authority (NAFDAC). The laboratory administrators are encumbered with a lot of mental and paper-based record keeping because the personnel training data is managed manually. Consequently, the personnel training and competence assessments in the laboratory are not efficiently conducted. The Microsoft Excel spreadsheet provided by a Purdue doctoral dissertation as a remedial to this is found to be deficient in handling operations in database tables. As a result, hence doctoral dissertation did not appropriately address the inefficiencies.</p> <p>The problem addressed by this study is the operational inefficiency that results from the manual or Excel-based personnel training data management process in the NAFDAC laboratory. The purpose, therefore, is to reduce the time it essentially takes to generate, obtain, manipulate, exchange, and securely store the personnel competence training and assessment data. To do this, the study developed a software system that is integrated with a relational database management system (RDBMS) to improve the manual/Microsoft Excel-based data management procedure. This project examines the operational (time) efficiencies in using manual or Excel-based format in comparison with the new system that this project developed, as a method to ascertain its validity.</p> <p>The data used in this qualitative research is from literary sources and from simulating the distinction between the times spent in administering personnel training and competence assessment using the New system developed by this study and the Excel system by another project, respectively. The fundamental finding of this study is that the idea of improving the operational (time) efficiency in the personnel training and competence assessment process in the QC laboratory is valid. Doing that will reduce human errors, achieve enhanced time-efficient operation, and improve personnel training and competence assessment processes.</p> <p>Recommendations are made as to the procedure the laboratory administrator must adopt to take advantage of the new system. The study also recommended the steps for the potential research to extend the capability of this project. </p>

International Telemetering Conference Proceedings / October 20-23, 2003 / Riviera Hotel and Convention Center, Las Vegas, Nevada / The quantity T&E data has grown in step with the increase in computing power and digital storage. T&E data management and exploitation technologies have not kept pace with this exponential growth. New approaches to the challenges posed by this data explosion must provide for continued growth while providing seamless integration with the existing body of work. Object Oriented Data Management provides the framework to handle the continued rapid growth in computer speed and the amount of data gathered and legacy integration. The OMEGA Data Environment is one of the first commercially available examples of this emerging class of OODM applications.

ITC/USA 2006 Conference Proceedings / The Forty-Second Annual International Telemetering Conference and Technical Exhibition / October 23-26, 2006 / Town and Country Resort & Convention Center, San Diego, California / This paper describes an adaptive data management architecture capable of supporting order-of-magnitude data volume increases without a priori knowledge of data structures. The architecture allows users to generate and maintain data in optimal legacy formats while managing and extracting information with common analysis tools. This paper shows how an object-oriented data management system can manage both data and the knowledge imparted to the data by users.

International Telemetering Conference Proceedings / October 25-28, 1993 / Riviera Hotel and Convention Center, Las Vegas, Nevada / The increasing complexity and volume of the information needed to support flight test missions has led to a need to expand the capability of current test data management systems. While the abilities currently exist to collect and manage calibration and telemetry information in an automated fashion, new requirements have emerged to link this data with other systems and to expand the functions and devices supported. Coordinating and directing the overall flow of information required for a successful flight test is a very big task. It calls for a view into flight test planning and scheduling activities, test objectives and methods, and the requirements for viewing and processing the test data in real-time and postflight. To meet this challenge, the Automated Test Data Management System (ATDMS) is being developed at the Air Force Flight Test Center (AFFTC), Edwards AFB, California. This paper describes the critical information and interfaces that the ATDMS will manage to bring cohesion to the management of flight test support data.

In the last fifty years, process improvements in service and product based organizations have greatly improvement quality, decreased development time and reduced scrap by improving process efficiency. Terms such as Lean Engineering, Just in Time, Total Quality Management and certifications such as ISO 9000 have become commonplace. In support of these process improvements, Engineering Data Management is a toolkit for achieving a truly integrated environment within a technical business by allowing teams to work more closely together, improving speed and efficiencies within the organization. This report was created to introduce the reader to basic principles of EDM and how it can improve an organization’s ability to compete. / text

Presented at the University of Arizona 2016 IT Summit / The past several years has seen an increasing emphasis on providing access to the results of research, both publications and data. The majority of federal grant funding agencies require that researchers include a data management plan as part of their grant proposal. In response, the University of Arizona Libraries, in collaboration with the Office of Research and Discovery and the University Information Technology Services, has been providing data management services and resources to the campus for the past several years. In 2014, we conducted a research data management survey to find out how UA researchers manage their research data, determine the demand for existing services and identify new services that UA researchers need. In the fall of 2015, the Data Management and Data Publication and Curation (DMDC) Pilot was started to determine what specific services and tools, including training and support and the needed technology infrastructure, researchers need to effectively and efficiently manage and curate their research data. This presentation will present what data management services we currently are offering, discuss findings from the 2014 survey, and present initial results from the DMDC pilot.