المؤلفون: Ramessur, Ravi, Dand, Nick, Langan, Sinéad M, Saklatvala, Jake, Fritzsche, Marie-Christine, Holland, Suzi, Arents, Bernd W M, McAteer, Helen, Proctor, Andrew, McMahon, David, Greenwood, Michelle, Buyx, Alena M, Messer, Tamara, Weiler, Nina, Hicks, Alexandra, Hecht, Peter, Weidinger, Stephan, Ndlovu, Matladi N, Chengliang, Dai, Hübenthal, Matthias, Egeberg, Alexander, Paternoster, Lavinia, Skov, Lone, De Jong, Elke M G J, Middelkamp-Hup, Maritza A, Mahil, Satveer K, Barker, Jonathan N, Flohr, Carsten, Brown, Sara J, Smith, Catherine H

المساهمون: Innovative Medicines Initiative 2 Joint Undertaking, European Union’s Horizon, European Federation of Pharmaceutical Industries and Associations, Health Data Research UK, National Institute for Health and Care Research, Wellcome Trust

المصدر: British Journal of Dermatology ; ISSN 0007-0963 1365-2133

مصطلحات موضوعية: Dermatology

الوصف: More severe atopic dermatitis and psoriasis are associated with a higher cumulative impact on quality of life, multimorbidity and healthcare costs. Proactive, early intervention in those most at risk of severe disease may reduce this cumulative burden and modify the disease trajectory to limit progression. The lack of reliable biomarkers for this at-risk group represents a barrier to such a paradigm shift in practice. To expedite discovery and validation, the BIOMarkers in Atopic Dermatitis and Psoriasis (BIOMAP) consortium (a large-scale European, interdisciplinary research initiative) has curated clinical and molecular data across diverse study designs and sources including cross-sectional and cohort studies (small-scale studies through to large multicentre registries), clinical trials, electronic health records and large-scale population-based biobanks. We map all dataset disease severity instruments and measures to three key domains (symptoms, inflammatory activity and disease course), and describe important codependencies and relationships across variables and domains. We prioritize definitions for more severe disease with reference to international consensus, reference standards and/or expert opinion. Key factors to consider when analysing datasets across these diverse study types include explicit early consideration of biomarker purpose and clinical context, candidate biomarkers associated with disease severity at a particular point in time and over time and how they are related, taking the stage of biomarker development into account when selecting disease severity measures for analyses, and validating biomarker associations with disease severity outcomes using both physician- and patient-reported measures and across domains. The outputs from this exercise will ensure coherence and focus across the BIOMAP consortium so that mechanistic insights and biomarkers are clinically relevant, patient-centric and more generalizable to current and future research efforts.

الإتاحة: https://doi.org/10.1093/bjd/ljae080Test

المؤلفون: Holland, Suzi

مصطلحات موضوعية: 658.4, Knowledge management, Knowledge management tools, Tool selection, Tool classification, Organisational knowledge management, Case study, Framework, Methodology

الوصف: Dawson (2009) suggested a twelve step methodology for implementing knowledge management solutions following research which showed that implementing knowledge management solutions was not as successful as expected. This thesis investigates the third of this twelve step methodology which requires finding a knowledge management solution in the context of the problem. The aim of the research is to determine a methodology that will provide a systematic way for managers to select an appropriate knowledge management tool given a particular working environment. Two organisations are investigated to confirm that there is a need for a systematic methodology for selecting knowledge management tools and how a methodology may help in achieving selecting an appropriate tool. This investigation is carried out using case studies, action research and interviews and results in discovering that organisations do not have a systematic method for selecting tools which leads to tools being selected haphazardly and not always successfully. Two tools are developed to aid a manager in selecting a knowledge management tool: the House of Knowledge Management Tool Selection and the Knowledge Management Tool Classification Grid. The House tool helps to identify the knowledge problem being solved and evaluates all potential knowledge management tools against the problem. The barriers to the potential success of the tools are also examined. The grid identifies potential tools by classifying them against knowledge problems. The two tools are further refined and developed using the two organisations as case studies to demonstrate how and when the tools can be used. This leads to development of the Barrier House and the Evaluation Grid. A framework and associated methodology are then developed that can be used as a guide to using the tools, offering a systematic approach to selecting knowledge management tools given any environment and thus accomplishing the aim of the thesis.

الإتاحة: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.572550Test

المؤلفون: Holland, Suzi, Dawson, Ray

المصدر: Software Quality Journal ; volume 19, issue 2, page 393-409 ; ISSN 0963-9314 1573-1367

مصطلحات موضوعية: Safety, Risk, Reliability and Quality, Software

الإتاحة: https://doi.org/10.1007/s11219-010-9121-8Test

المؤلفون: Holland, Suzi, Dawson, Ray

المصدر: Software Quality Journal; Jun2011, Vol. 19 Issue 2, p393-409, 17p

مصطلحات موضوعية: CASE studies, KNOWLEDGE management, INFORMATION services management, QUALITY function deployment, COMPUTER software quality control, DECISION making, COMPUTER software

مستخلص: Knowledge managers need to select which knowledge management tool to use for any given problem and problem environment. A graphical tool, named the 'house of knowledge management tool selection' is proposed, based on the house of quality matrix used in the quality function deployment methodology. A simple case study is described that acts as a proof of concept to show the house of knowledge management Tool selection can systematically evaluate potential tools to solve a knowledge management problem. To help identify the tools to populate the house, an examination was undertaken of how knowledge management tools had previously been listed and classified, but these existing classifications were found to be of little help. No classification existed that categorised the tools in terms of the knowledge problems they helped resolve, yet this classification would seem more useful for knowledge managers. To meet this need, knowledge problems were divided into ten subtypes and the knowledge management tools were then categorised according to their effectiveness at solving each subtype. This new classification was flexible enough to include all types of knowledge management tools and could also change with each problem environment. It was found to give a greater understanding of the knowledge management tools in the context of a particular knowledge problem, and it could therefore help populate the house tool. The house of knowledge management tool selection is a promising development of a tool that should be able to become an essential part of a manager's decision-making toolkit. [ABSTRACT FROM AUTHOR]

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