User-centered visual analysis using a hybrid reasoning architecture for intensive care units

One problem pertaining to Intensive Care Unit information systems is that, in some cases, a very dense display of data can result. To ensure the overview and readability of the increasing volumes of data, some special features are required (e.g., data prioritization, clustering, and selection mechanisms) with the application of analytical methods (e.g., temporal data abstraction, principal component analysis, and detection of events). This paper addresses the problem of improving the integration of the visual and analytical methods applied to medical monitoring systems. We present a knowledge- and machine learning-based approach to support the knowledge discovery process with appropriate analytical and visual methods. Its potential benefit to the development of user interfaces for intelligent monitors that can assist with the detection and explanation of new, potentially threatening medical events. The proposed hybrid reasoning architecture provides an interactive graphical user interface to adjust the parameters of the analytical methods based on the users' task at hand. The action sequences performed on the graphical user interface by the user are consolidated in a dynamic knowledge base with specific hybrid reasoning that integrates symbolic and connectionist approaches. These sequences of expert knowledge acquisition can be very efficient for making easier knowledge emergence during a similar experience and positively impact the monitoring of critical situations. The provided graphical user interface incorporating a user-centered visual analysis is exploited to facilitate the natural and effective representation of clinical information for patient care

London SynEx Demonstrator Site: Impact Assessment Report

The key ingredients of the SynEx-UCL software components are: 1. A comprehensive and federated electronic healthcare record that can be used to reference or to store all of the necessary healthcare information acquired from a diverse range of clinical databases and patient-held devices. 2. A directory service component to provide a core persons demographic database to search for and authenticate staff users of the system and to anchor patient identification and connection to their federated healthcare record. 3. A clinical record schema management tool (Object Dictionary Client) that enables clinicians or engineers to define and export the data sets mapping to individual feeder systems. 4. An expansible set of clinical management algorithms that provide prompts to the patient or clinician to assist in the management of patient care. CHIME has built up over a decade of experience within Europe on the requirements and information models that are needed to underpin comprehensive multiprofessional electronic healthcare records. The resulting architecture models have influenced new European standards in this area, and CHIME has designed and built prototype EHCR components based on these models. The demonstrator systems described here utilise a directory service and object-oriented engineering approach, and support the secure, mobile and distributed access to federated healthcare records via web-based services. The design and implementation of these software components has been founded on a thorough analysis of the clinical, technical and ethico-legal requirements for comprehensive EHCR systems, published through previous project deliverables and in future planned papers. The clinical demonstrator site described in this report has provided the solid basis from which to establish "proof of concept" verification of the design approach, and a valuable opportunity to install, test and evaluate the results of the component engineering undertaken during the EC funded project. Inevitably, a number of practical implementation and deployment obstacles have been overcome through this journey, each of those having contributed to the time taken to deliver the components but also to the richness of the end products. UCL is fortunate that the Whittington Hospital, and the department of cardiovascular medicine in particular, is committed to a long-term vision built around this work. That vision, outlined within this report, is shared by the Camden and Islington Health Authority and by many other purchaser and provider organisations in the area, and by a number of industrial parties. They are collectively determined to support the Demonstrator Site as an ongoing project well beyond the life of the EC SynEx Project. This report, although a final report as far as the EC project is concerned, is really a description of the first phase in establishing a centre of healthcare excellence. New EC Fifth Framework project funding has already been approved to enable new and innovative technology solutions to be added to the work already established in north London

Exploring Two Novel Features for EEG-based Brain-Computer Interfaces: Multifractal Cumulants and Predictive Complexity

In this paper, we introduce two new features for the design of electroencephalography (EEG) based Brain-Computer Interfaces (BCI): one feature based on multifractal cumulants, and one feature based on the predictive complexity of the EEG time series. The multifractal cumulants feature measures the signal regularity, while the predictive complexity measures the difficulty to predict the future of the signal based on its past, hence a degree of how complex it is. We have conducted an evaluation of the performance of these two novel features on EEG data corresponding to motor-imagery. We also compared them to the most successful features used in the BCI field, namely the Band-Power features. We evaluated these three kinds of features and their combinations on EEG signals from 13 subjects. Results obtained show that our novel features can lead to BCI designs with improved classification performance, notably when using and combining the three kinds of feature (band-power, multifractal cumulants, predictive complexity) together.Comment: Updated with more subjects. Separated out the band-power comparisons in a companion article after reviewer feedback. Source code and companion article are available at http://nicolas.brodu.numerimoire.net/en/recherche/publication

The utilisation of health research in policy-making: Concepts, examples, and methods of assessment

Chapter 1: Introduction and Background • The importance of utilising health research in policy-making, and therefore the need to understand the mechanisms involved, is increasingly recognised. Recent reports calling for more resources to improve health in developing countries, and global pressures for accountability, draw greater attention to research-informed policy-making. • For at least twenty years there has been recognition of the multiple meanings or models of research utilisation in policy-making. It has similarly been long recognised that a range of factors is involved in the interactions between health research and policy-makers. • The emerging focus on Health Research Systems (HRS) has identified additional mechanisms through which greater utilisation of research could be achieved. Assessment of the role of health research in policy-making is best undertaken as part of a wider study that also includes the utilisation of health research by industry, medical practitioners, and the public. Chapter 2: The Nature of Policy-Making, Types of Research and Utilisation Models • Policy-making broadly interpreted includes national health policies made by government ministers and officials, policies made by local health service managers, and clinical guidelines from professional bodies. In this report, however, the main focus is on public policy-making rather than that conducted by professional bodies. The utilisation of health research in policy-making should eventually lead to desired outcomes, including health gains. Research can make a contribution in at least three phases of the policy-making process: agenda setting; policy formulation; and implementation. Descriptions of these processes, however, can over-estimate the degree of rationality in policy-making. Therefore, the analysis is informed by a review of the full range of policy-making models. These include rational and incrementalist models. • Various categories of research are likely to be used differently in health policy-making. Applied research might be more readily useable by a policy system than basic research, but health policy-makers tend to relate more willingly to natural sciences than social sciences. When research is based on the priorities of potential users, and/or is research of proven quality, this increases the possibility that it will be translated into policies. There also appears to be a greater chance of research being used in clinical policies about delivering care to patients, than in national policies on the structures of the health service. • Models of research utilisation in policy-making start with a link to rational or instrumental views of policy-making, and include descriptions of how commissioned research can help to find solutions to problems. Other models relate to an incrementalist view in which policy-making involves a series of small steps over a long period; research findings might gradually cause a shift in perceptions about an issue in a process of ‘enlightenment’. Interactive models of research utilisation stress the way in which policy-makers and researchers might develop links over a long period. Research can also be used symbolically to support decisions already taken. Chapter 3: Examples from Previous Studies • A study of health policy-making in two southern African countries illustrates how policy-making processes can be analysed. It addresses agenda setting, policy formulation and implementation. The methods used included documentary analysis and key informant interviews. • Many previous studies of research utilisation can provide lessons for future assessments. Two broad approaches can be identified. Some studies start with pieces, or programmes, of research and examine their impact. Others consider policy on a particular topic and assess the role of research in the policy-making. There are advantages and drawbacks in each approach, and overlaps between them. • To facilitate comparison, studies of research utilisation are best organised around a conceptual framework. Despite that, the influence of contextual factors in different settings makes it difficult to generalise. • The two methods used most frequently, and usually together, come from the qualitative tradition: documentary analysis and in-depth interviews. Questionnaires, bibliometric analysis, insider knowledge and historical approaches have all been applied. A few recent studies have attempted to score or scale the level of utilisation. • The examples suggest there is a greater level of utilisation and final outcomes in terms of health, health equity, and social and economic gain than is often assumed, whilst still showing much underutilisation. There is considerable variation in the degree of utilisation, both within and between studies. Chapter 4: Key Issues in the Analysis of Research Utilisation in Policy-Making • Increasing attention is focusing on the concept of interfaces between researchers and the users of research. This incorporates the idea that there are likely to be different values and interests between the two communities. • In relation to utilisation, the prioritisation debate revolves around two key aspects: whether priorities are being set that will produce research that policy-makers and others will want to use, and whether priorities are being set that will engage the interests and commitment of the research community. • Interactions across the interface between policy-makers and researchers are important in transferring research to policy-makers. This fits especially well with the interactive model of utilisation. Actions by individual researchers can be useful in generating interaction, but it is desirable to consider the role of the HRS in encouraging or facilitating interactions, networks and mechanisms at a system-wide level. The HRS could provide funding and organisational support for various items including: long-term research centres; research brokerage/translator mechanisms; the creation of official committees of policy-makers and researchers; and mechanisms for review and synthesis of research findings. • There is increased recognition of the significance of policy-makers in their role as the receptors of research. In relation to the perspective of policy-makers there is a spectrum of key questions. These range from whether relevant research is available and effectively being brought to their attention, to whether they are able to absorb it and willing to use it. The HRS has a responsibility, especially in the early parts of the spectrum, but the wider health system also has a responsibility to create appropriate institutional mechanisms and ensure there are staff willing and able to incorporate relevant research. • More attention should be given to the role of incentives, both for researchers to produce utilisable research, and for policy-makers, at the system or individual level, to use it. The assessment of utilisation becomes a key issue if rewards are to focus on relevance as well as research excellence. • An appropriate model for assessing research utilisation in policy-making combines analysis of two issues: the role of receptors and the importance of actions at the interfaces. An emphasis on the role of the receptor is necessary because ultimately it is up to the policy-maker to make the decisions. Any assessment of the success of the HRS in relation to utilisation must accept that the wider political context is beyond the control of the HRS, but consider the activities of the HRS, within its given context, to enhance the utilisation of research by increasing the permeability of the interfaces. Chapter 5: Assessment of Research Utilisation in Health Policy-Making • The reasons for assessing the utilisation of research in policy-making include: advocacy, accountability, and increased understanding. For the World Health Organization there could be a role in conducting such assessments with the aim of providing evidence of the effective use of research resources. This could support advocacy for greater resources to be made available for health research. It is important that the purposes of any assessment are taken into account in planning the methods to be used. • Previous studies demonstrated the difficulties of making generalisations about specific factors associated with high levels of utilisation. To address this in any cross-national WHO initiative involving a series of studies in a range of countries, it would be desirable to structure all the studies around a conceptual framework (such as the interfaces and receptor framework considered here) and base the studies in each country on common themes. These could include policies for the adoption of multi-drug therapy for treating leprosy, and for the equitable access to health services. • Analysis of documents and semi-structured interviews would be appropriate methods in each study assessing the role of research in policy-making on a specific policy theme. Questionnaires could also have a role. These approaches would provide triangulation of methods and data-sources and should also provide material to help identify the relative importance, in relation to the level of utilisation recorded, of the HRS mechanisms described in the previous analysis. The types and sources of research used, and reasons for their use, should also be recorded and attempts made to correlate them with the previous priority setting approaches. It is expected that each study will produce its own narrative or story of what caused utilisation in the particular context, but the data gathered could also be applied to descriptive scales of the level research utilisation. The four scales could cover the consistency of policy with research findings, and the degree of influence of research on agenda setting, policy formulation, and implementation. • The findings from the assessments in each participating country should be collated. For each policy theme or topic the analysis would compare two sets of data: the scales for level of research utilisation in each country, and the contextualised lists of the HRS activities and other mechanisms and networks thought to be important. Although the account here has focused on research impact on policy-making, the evaluations would be stronger as part of a wider analysis covering research utilisation and interactions with practitioners, industry and the public. • Given appropriate and targeted topic and country selection, this approach is likely to meet the purpose of using structured methods to provide examples of effective research utilisation. The approach should contribute towards enhanced understanding of the issues and could provide the basis of an assessment tool which, if used widely in countries, could lead to greater utilisation of health research.Research Policy and Co-operation (RPC) Department of the World Health Organization, Geneva; UK Department of Health’s Policy Research Programme; Alliance for Health Policy and Systems Research from the governments of Norway and Sweden; World Bank and International Development Research Council of Canad

Proceedings ICPW'07: 2nd International Conference on the Pragmatic Web, 22-23 Oct. 2007, Tilburg: NL

Proceedings ICPW'07: 2nd International Conference on the Pragmatic Web, 22-23 Oct. 2007, Tilburg: N

Heart Failure Monitoring System Based on Wearable and Information Technologies

In Europe, Cardiovascular Diseases (CVD) are the leading source of death, causing 45% of all deceases. Besides, Heart Failure, the paradigm of CVD, mainly affects people older than 65. In the current aging society, the European MyHeart Project was created, whose mission is to empower citizens to fight CVD by leading a preventive lifestyle and being able to be diagnosed at an early stage. This paper presents the development of a Heart Failure Management System, based on daily monitoring of Vital Body Signals, with wearable and mobile technologies, for the continuous assessment of this chronic disease. The System makes use of the latest technologies for monitoring heart condition, both with wearable garments (e.g. for measuring ECG and Respiration); and portable devices (such as Weight Scale and Blood Pressure Cuff) both with Bluetooth capabilitie

Intelligent multimedia communication for enhanced medical e-collaboration in back pain treatment

This is the post-print version of the Article. The official published version can be accessed from the link below - Copyright @ 2004 SAGE PublicationsRemote, multimedia-based, collaboration in back pain treatment is an option which only recently has come to the attention of clinicians and IT providers. The take-up of such applications will inevitably depend on their ability to produce an acceptable level of service over congested and unreliable public networks. However, although the problem of multimedia application-level performance is closely linked to both the user perspective of the experience as well as to the service provided by the underlying network, it is rarely studied from an integrated viewpoint. To alleviate this problem, we propose an intelligent mechanism that integrates user-related requirements with the more technical characterization of quality of service, obtaining a priority order of low-level quality of service parameters, which would ensure that user-centred quality of perception is maintained at an optimum level. We show how our framework is capable of suggesting appropriately tailored transmission protocols, by incorporating user requirements in the remote delivery of e-health solutions

Information systems and healthcare XXIV: Factors affecting the EAI adoption in the healthcare sector

Recent developments in the field of integration technologies like Enterprise Application Integration (EAI) have emerged to support organizations towards improving the quality of services and reducing integration costs. Despite the importance of EAI, there is limited empirical research reported on its adoption in the healthcare sector. Khoumbati et al. [2006] developed a model for the evaluation of EAI in healthcare organizations. In doing so, the causal interrelationship of EAI adoption factors was identified by using fuzzy cognitive mapping. This paper is a progression of previous work in the area and seeks to contribute by validating the model through a different case environment. Thus, this paper contributes by deriving and proposing the MAESTRO model for EAI adoption. MAESTRO identifies a set of factors that influence EAI adoption and it is evaluated through a real-life case study. It provides an understanding of the EAI adoption process through its grounding on empirical data. In doing so, the MAESTRO model supports the management of healthcare organizations during the decision-making process for EAI adoption