Sarah Niukyun Lim Choi Keung

Trust and Reputation

Trust and reputation have become standard approaches for supporting the management of interactions in distributed environments. Several alternative approaches have been proposed that take a wide range of approaches, including socio-cognitive, computational, and reputational mechanisms. In this chapter we introduce the various approaches to trust and reputation, and discuss how they relate to agents in a service-oriented computing context.

Towards Improved Partner Selection Using Recommendations and Trust

Agents in open and dynamic environments face the challenge of uncertainty while interacting with others to achieve their goals. They face quick and unforeseen changes to the behaviour of other agents and the population itself, as agents join and leave at will. Since agents are assumed to be self-interested, it is essential for them to be able to choose the most reliable interaction partners to maximise the success of their interactions. Efficient agent selection requires information about their behaviour in different situations. This information can be obtained from direct experience as well as from recommendations. This paper presents a trust and reputation model, which allows agents to select interaction partners efficiently by adapting quickly to a dynamic environment. Our approach is built upon a number of components from several existing models to assess trustworthiness from direct interactions and recommendations. We take a multidimensional approach to evaluate trust and reputation and include indirect recommendations as another source of trust. This reinforces our previous work on recommendation sharing, which includes information about the recency and relevance of interactions, allowing an evaluator to select recommenders based on trust.

Barriers and facilitators to public access defibrillation in out-of-hospital cardiac arrest: a systematic review

Public access defibrillation initiatives make automated external defibrillators available to the public. This facilitates earlier defibrillation of out-of-hospital cardiac arrest victims and could save many lives. It is currently only used for a minority of cases. The aim of this systematic review was to identify barriers and facilitators to public access defibrillation. A comprehensive literature review was undertaken defining formal search terms for a systematic review of the literature in March 2017. Studies were included if they considered reasons affecting the likelihood of public access defibrillation and presented original data. An electronic search strategy was devised searching MEDLINE and EMBASE, supplemented by bibliography and related-article searches. Given the low-quality and observational nature of the majority of articles, a narrative review was performed. Sixty-four articles were identified in the initial literature search. An additional four unique articles were identified from the electronic search strategies. The following themes were identified related to public access defibrillation: knowledge and awareness; willingness to use; acquisition and maintenance; availability and accessibility; training issues; registration and regulation; medicolegal issues; emergency medical services dispatch-assisted use of automated external defibrillators; automated external defibrillator-locator systems; demographic factors; other behavioural factors. In conclusion, several barriers and facilitators to public access defibrillation deployment were identified. However, the evidence is of very low quality and there is not enough information to inform changes in practice. This is an area in urgent need of further high-quality research if public access defibrillation is to be increased and more lives saved. PROSPERO registration number CRD42016035543.

A loosely coupled framework for terminology controlled distributed EHR search for patient cohort identification in clinical research

Heterogeneous data models and coding schemes for electronic health records present challenges for automated search across distributed data sources. This paper describes a loosely coupled software framework based on the terminology controlled approach to enable the interoperation between the search interface and heterogeneous data sources. Software components interoperate via common terminology service and abstract criteria model so as to promote component reuse and incremental system evolution.

E-health for active ageing; A systematic review

Enabling successful active ageing is an international priority to meet the challenges of increasing life expectancy. Digital strategies, such as telemedicine and e-health, offer the potential to deliver active ageing in a cost-effective manner at scale. This article aims to establish the extent to which the research literature considers e-health-based and telemedicine-based active ageing interventions. A systematic review was conducted according to PRISMA standards. Independently, two authors searched the Cochrane, EMBASE & CINAHL databases, with subsequent independent extraction and semi-quantitative analysis. We report a considerable breadth in digital active ageing research, which is truly international in its scope. There is a diverse range of both interventions and technologies, including a reassuring focus on community-based interventions. Whilst there are a number of quantitative studies, sample sizes are small, with a limited amount of statistical testing of the results. There is significant variation in the outcome measures reported and little consensus as to the most effective intervention strategies. Overall, whilst there is considerable breadth to the research published in the literature, there is a clear restriction in the depth of this research. There is little overall consensus. This lack of depth and consensus may be due to the need to recognize the important role of technical research elements alongside more traditional research methodologies, such as randomized controlled trials. Enabling both technical and clinical research methods to be recognized, in tandem, has enormous potential to support individuals, communities, clinicians and policy makers to make more informed decisions in relation to active ageing.

Diabetes and the direct secondary use of electronic health records: Using routinely collected and stored data to drive research and understanding

Introduction Electronic health records provide an unparalleled opportunity for the use of patient data that is routinely collected and stored, in order to drive research and develop an epidemiological understanding of disease. Diabetes, in particular, stands to benefit, being a data-rich, chronic-disease state. This article aims to provide an understanding of the extent to which the healthcare sector is using routinely collected and stored data to inform research and epidemiological understanding of diabetes mellitus. Methods Narrative literature review of articles, published in both the medical- and engineering-based informatics literature. Results There has been a significant increase in the number of papers published, which utilise electronic health records as a direct data source for diabetes research. These articles consider a diverse range of research questions. Internationally, the secondary use of electronic health records, as a research tool, is most prominent in the USA. The barriers most commonly described in research studies include missing values and misclassification, alongside challenges of establishing the generalisability of results. Discussion Electronic health record research is an important and expanding area of healthcare research. Much of the research output remains in the form of conference abstracts and proceedings, rather than journal articles. There is enormous opportunity within the United Kingdom to develop these research methodologies, due to national patient identifiers. Such a healthcare context may enable UK researchers to overcome many of the barriers encountered elsewhere and thus to truly unlock the potential of electronic health records.

Perspectives of UK community first responders on a national public access defibrillator database

Health—exploring complexity: an interdisciplinary systems approach HEC2016 28 August–2 September 2016, Munich, Germany Eva Grill • Martin Müller • Ulrich Mansmann Springer Science+Business Media Dordrecht 2016 Health is a complex process with potentially interacting components from the molecular to the societal and environmental level. Adequate research designs and data analysis methods are needed to improve our understanding of this complexity, to ultimately derive high quality evidence to inform patients, health professionals, and health policy decision makers. Also, effective patient-centred health care has to address the complexity of health, functioning, and disability, not only by implementing interventions, but also by using information technology that represents the complexity of health care to inform all actors. Given this background, we developed the concept of our conference HEC2016 as an interdisciplinary European event in beautiful Bavaria, in the city of München. Quite ironically this is the place, where William of Ockham, whose ideas of parsimony are the very opposite of complexity, accused of heresy, spent 17 years under the protection of the Bavarian King Ludwig IV. Furthermore, our local public health hero Max von Pettenkofer (1818–1901) contributed a lot to the basic systemic understanding of health, especially the relevance of a healthy environment. Under the joint theme of health as a complex system we joined the activities of five scientific disciplines: Medical Informatics, Medical Biometry, Bioinformatics, Epidemiology and Health Data Management. The mission behind this interdisciplinary effort was to serve as an important scientific forum for the exchange of new ideas and applications to strengthen health sciences on a national and international level. The analysis of health as a complex system opens needed perspectives on a challenging reality: filtering current hypotheses, resolving controversies, and tailoring interventions to the need of the individual within a health system environment. The conference encouraged the dialogue of the disciplines in order to advance our understanding of health and to decrease burden of disease. HEC2016 brought together the annual conferences of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), the German Society for Epidemiology (DGEpi), the International Epidemiological AssociationEuropean Region (IEA-EEF) and the European Federation for Medical Informatics Association (EFMI, MIE 2016). HEC2016 took place in München, Germany, in the main building of the Ludwig-Maximilians-Universität (LMU) from 28 August to 2 September 2016 under the auspices of the Institute for Medical Information Processing, Biometry and Epidemiology of LMU. The conference received 832 contributions for oral and poster presentation (Table 1). Fourteen percent of them were from outside Europe with the largest group of 10 % from Asia (Table 2). Scientific program committees and reviewers selected 408 submissions as oral contributions and 303 for poster presentations. The program was surrounded by twelve tutorials held by international renowned scientists and covered a broad spectrum from innovative biostatistical and epidemiological methods to tutorials in application of innovative software, scientific writing and data protection issues. Over 50 panel discussions and workshops allowed in-depth exchange of ideas on specific topics and underscored the interactive nature of HEC2016. A special focus of HEC2016 was on the promotion of young scientists from all disciplines whose participation was supported by numerous travel grants. We would like to express our deepest gratitude to all the colleagues who supported us as speakers, committee members and reviewers, lent us a hand before, during and after the conference, gave critical but friendly comments at all stages of the preparations, supported us by providing coffee, audience or Butterbrezen, and specifically to those who submitted contributions to the conference and attended the conference and its many tutorials, lectures and sessions. We extend our gratitude to the Deutsche Forschungsgemeinschaft for generous financial support (grant no. GR 3608/4-1). Last not least we would like to thank our families who allowed us to spend most of our weekends with organizing this conference, to William of Ockham for lending us his razor (from time to time) and to Max von Pettenkofer for guidance. Eva Grill Martin Müller Ulrich Mansmann for the local organizing committee (Tables 1, 2) 123 Eur J Epidemiol (2016) 31:S1–S239 DOI 10.1007/s10654-016-0183-1Original citation: Lim Choi Keung, Sarah Niukyun, Murphy, Paddie, Khan, Mohammed Omar, Perkins, Gavin D., Smith, Christopher and Arvanitis, Theodoros N. (2016) Perspectives of UK community first responders on a national public access defibrillator database. In: HEC 2016 (Health Exploring Complexity: An Interdisciplinary Systems Approach) Conference, Munich, Germany, 28 Aug 2 Sep 2016. Published in: European Journal of Epidemiology, 31 (Supplement 1). S117 (796).

West Midlands Health Informatics Network: A Perspective on Education and Training Needs

The growth of health informatics as a discipline has led to an increase in networks of people with similar interests for discussion, learning and sharing. Alongside these community networks, education and training are gaining interest, with more career opportunities and general public seeking information. This paper highlights the experience of the West Midlands Health Informatics Network and efforts in better understanding the educational and training needs of its members. The findings from the survey conducted reveal that while the interest in this field is high among network members, the awareness of opportunities for training and learning professionally as well as personally, remains low. The areas and levels of interest in the region should help support the creation and availability of resources.

A query tool enabling clinicians and researchers to explore patient cohorts

Due to the increasing amount of health information being gathered and the potential benefit of data reuse, it is now becoming a necessity for tools, which collect and analyse this data, to support integration of heterogeneous datasets, as well as provide intuitive user interfaces, which allow clinicians and researchers to query the data without needing to form complex SQL queries. The West Midlands Query Tool consists of an easy-to-use graph-based GUI, which interacts with a flexible middleware application. It has the main objective of querying heterogeneous data sources for exploring patient cohorts through a query builder and criteria set.

A hybrid EAV-relational model for consistent and scalable capture of clinical research data

Many clinical research databases are built for specific purposes and their design is often guided by the requirements of their particular setting. Not only does this lead to issues of interoperability and reusability between research groups in the wider community but, within the project itself, changes and additions to the system could be implemented using an ad hoc approach, which may make the system difficult to maintain and even more difficult to share. In this paper, we outline a hybrid Entity-Attribute-Value and relational model approach for modelling data, in light of frequently changing requirements, which enables the back-end database schema to remain static, improving the extensibility and scalability of an application. The model also facilitates data reuse. The methods used build on the modular architecture previously introduced in the CURe project.