bluuebunny/crossref_metadata_2025_split huggingface dataset:
Health Information Systems
Authors: Cuggia M. , Toubiana L. 
Published: March 2018

Summary
Objectives: Summarize excellent current research in the field of Health Information Systems.
Method: Synopsis of the articles selected for the IMIA Yearbook 2013.
Results: Five papers from international peer reviewed journals have been selected for the section on health information systems.
Conclusions: The selected articles illustrate current research regarding health information technology (IT) impacts and evaluation and the latest developments in health information exchange.
A Medical Informatics Perspective on Clinical Decision Support Systems
Authors: Lamy J.-B. , Bouaud J. 
Published: March 2018

Summary
Objective: To summarize excellent research and to select best papers published in 2012 in the field of computer-based decision support in healthcare.
Methods: A bibliographic search focused on clinical decision support systems (CDSSs) and computer provider order entry was performed, followed by a double-blind literature review.
Results: The review process yielded six papers, illustrating various aspects of clinical decision support. The first paper is a systematic review of CDSS intervention trials in real settings, and considers different types of possible outcomes. It emphasizes the heterogeneity of studies and confirms that CDSSs can improve process measures but that evidence lacks for other types of outcomes, especially clinical or economic. Four other papers tackle the safety of drug prescribing and show that CDSSs can be efficient in reducing prescription errors. The sixth paper exemplifies the growing role of ontological resources which can be used for several applications including decision support.
Conclusions: CDSS research has to be continuously developed and assessed. The wide variety of systems and of interventions limits the understanding of factors of success of CDSS implementations. A standardization in the characterization of CDSSs and of intervention trial reporting will help to overcome this obstacle.
The Evidence-base for Using Ontologies and Semantic Integration Methodologies to Support Integrated Chronic Disease Management in Primary and Ambulatory Care: Realist Review
Authors: Liyanage H. , Liaw S.-T. , Kuziemsky C. , Terry A. L. , Jones S. , Soler J. K. , de Lusignan S. 
Published: March 2018

Summary
Background: Most chronic diseases are managed in primary and ambulatory care. The chronic care model (CCM) suggests a wide range of community, technological, team and patient factors contribute to effective chronic disease management. Ontologies have the capability to enable formalised linkage of heterogeneous data sources as might be found across the elements of the CCM.
Objective: To describe the evidence base for using ontologies and other semantic integration methods to support chronic disease management.
Method: We reviewed the evidence-base for the use of ontologies and other semantic integration methods within and across the elements of the CCM. We report them using a realist review describing the context in which the mechanism was applied, and any outcome measures.
Results: Most evidence was descriptive with an almost complete absence of empirical research and important gaps in the evidence-base. We found some use of ontologies and semantic integration methods for community support of the medical home and for care in the community. Ubiquitous information technology (IT) and other IT tools were deployed to support self-management support, use of shared registries, health behavioural models and knowledge discovery tools to improve delivery system design. Data quality issues restricted the use of clinical data; however there was an increased use of interoperable data and health system integration.
Conclusions: Ontologies and semantic integration methods are emergent with limited evidence-base for their implementation. However, they have the potential to integrate the disparate community wide data sources to provide the information necessary for effective chronic disease management.
Social Media for the Promotion of Holistic Self-Participatory Care: An Evidence Based Approach
Authors: Hansen M. M. , Grajales F. J. , Martin-Sanchez F. , Bamidis P. D. , Miron-Shatz T. 
Published: March 2018

Summary
Objectives: As health information is becoming increasingly accessible, social media offers ample opportunities to track, be informed, share and promote health. These authors explore how social media and holistic care may work together; more specifically however, our objective is to document, from different perspectives, how social networks have impacted, supported and helped sustain holistic self-participatory care.
Methods: A literature review was performed to investigate the use of social media for promoting health in general and complementary alternative care. We also explore a case study of an intervention for improving the health of Greek senior citizens through digital and other means.
Results: The Health Belief Model provides a framework for assessing the benefits of social media interventions in promoting comprehensive participatory self-care. Some interventions are particularly effective when integrating social media with real-world encounters. Yet not all social media tools are evidence-based and efficacious. Interestingly, social media is also used to elicit patient ratings of treatments (e.g., for depression), often demonstrating the effectiveness of complementary treatments, such as yoga and mindfulness meditation.
Conclusions: To facilitate the use of social media for the promotion of complementary alternative medicine through self-quantification, social connectedness and sharing of experiences, exploration of concrete and abstract ideas are presented here within. The main mechanisms by which social support may help improve health – emotional support, an ability to share experiences, and non-hierarchal roles, emphasizing reciprocity in giving and receiving support – are integral to social media and provide great hope for its effective use.
Personal Health, Person-centred Health and Personalised Medicine – Concepts, Consumers, Confusion and Challenges in the Informatics World
Authors: Rigby M. 
Published: March 2018

SummaryTo define and assess ‘Consumer Health Informatics’ and related emergent issues in an era of new media and of personalisation of care, and from this to define what actions need to be taken to optimise benefits and address risks.Definition of key concepts; review of health personalisation, emergent health information and communication technologies and knowledge sources available to citizens and social media; and identification of unresolved issues threatening optimal use of each.A structured review supported by citations and examples.Several new aspects of consumer health informatics are emerging, including new knowledge sources, feedback on treatments and care providers, on-line videos, and a new generation of patient experience sites including those which are for profit and seek to influence treatment paradigms. Not just the information usage, but also the potential social challenges and malicious abuses, are global issues, and also transcend the traditional health community and thus should be addressed in partnership with other global agencies.
Critical Advances in Bridging Personal Health Informatics and Clinical Informatics
Authors: Vimarlund V. , Koch S. 
Published: March 2018

SummaryTo provide a survey over significant developments in the area of linking personal health informatics and clinical informatics, to give insights into critical advances and to discuss open problems and opportunities in this area.A scoping review over the literature published in scientific journals and relevant conference proceedings in the intersection between personal health informatics and clinical informatics over the years 2010 and 2011 was performed.The publications analyzed are related to two main topics, namely “Sharing information and collaborating through personal health records, portals and social networks” and “Integration of personal health systems with clinical information systems”. For the first topic,resultsarepresentedaccordingtofivedifferentthemes:”Patient expectationsandattitudes”,”Realuseexperiences”,”Changesforcareproviders”,”Barrierstoadoption”and”Proposedtechnicalinfrastructures”.Forthesecondtopic,twodifferentthemeswerefound,namely”Technicalarchitecturesand interoperability”“and”Security,safetyandprivacyissues”.Results show a number of gaps between the information needs of patients and the information care provider organizations provide to them as well as the lack of a trusted technical, ethical and regulatory framework regarding information sharing.Despiterecentdevelopmentsintheareasofpersonal health informatics and clinical informatics both fields have diverging needs. To support both clinical work processes and empower patients to effectivelyhandleself-care, anumberofissuesremainunsolved.Open issues include privacy and confidentiality, including trusted sharing of health information and building collaborative environments between patients,theirfamiliesandcareproviders.Therearefurtherchallengesto meet around health and technology literacy as well as to overcome structural and organizational barriers. Frameworks for evaluatingpersonal health informatics applications and pervasive health technology are needed to build up an evidence basis.
Empowering Patients: Making Health Information and Systems Safer for Patients and the Public
Authors: Househ F. M. S. , Kushniruk A. W. , Nohr C. , Takeda H. , Borycki E. M. 
Published: March 2018

SummaryThe objectives of this paper are to explore issues and perspectives from four regions of the world where health information systems are contributing to patient empowerment and influencing patient safety.Members of the IMIA Working Group for Health Information Systems Safety came together to explore global issues at the intersection of health information systems safety, patient empowerment and patient safety. The group carried out a review and synthesis of the empirical and grey literature in four different regions/countries of the world that have differing health information system safety priorities.Regions/countries from differing parts of the world are developing: (1) high quality, safe information for individuals to use in their health related decision making, (2) patient portals and testing them for their safety, (3) methods for identifying unsafe health information system features and functions, and (4) ways of engaging citizens in identifying unsafe features and functions of health information systems.Internationally, there has been a rise in the number of health information systems and technologies that are being developed to support patient care. The amount of health information available on the World Wide Web (WWW), and the use of mobile phone software to support consumer health behaviours and self-management of chronic illnesses has also grown. The use of some of these health informationsystems and technologies has helped citizens to improve their health status (e.g. patient portals, mobile phones). However, the safety of these systems and technologies has come into question. As a result, there is a need to refine these systems and ensure theirsafetywhentheyareusedbypatientsandtheirfamilies.
Sensors, Medical Images and Signal Processing: Ubiquitous Personalized Health Monitoring
Authors: Müller H. , Foncubierta-Rodriguez A. , Depeursinge A. ,   Section Editors for the IMIA Year-book Section on Sensor, Signal, and Imaging Informatics
Published: March 2018

SummaryTo summarize excellent research in the field of medical sensor, signal and imaging informatics published in the year 2011.Synopsis of the articles selected for the IMIA (International Medical Informatics Association) Yearbook 2012 through a manual initial selection and a peer review process to find the best paper in this domain published in 2011.Current research in the field of sensors, signal, and imaging informatics is characterized by theoretically sound techniques and evaluations with focus in imaging informatics. An increased number of systems with embedded signal processing where sensors include signal processing were observed in 2011. In all domains, pragmatic solutions with the goal of clinical impact have grown, including in developing countries where simple, robust techniques are combined to address primary and simple medical problems with potentially high impact. Finally, recent advances in image and signal processing are moving towards patient-based modeling.The best paper selection of articles on sensors, signal, and imaging informatics shows examples of excellent research on methods concerning theoretically sound original development in this field in the year 2012.
Data Integration in Genomic Medicine: Trends and Applications
Authors: Seoane J. A. , Aguiar-Pulido V. , Pazos A. , Dorado J. 
Published: March 2018

SummaryIn a near future, each person will incorporate his/her own sequenced genome in his/her electronic health record. In that precise moment, genomic medicine will be fundamental for clinical practice, as an essential key of personalized medicine. All the genomic data, as well as other ‘omics’ and clinical data necessary for personalized medicine, are stored in several distributed databases. Research and patient care require each time more biomedical data integration of several distributed heterogeneous datasources.This work develops a comprehensive review of the most relevant works in biomedical data integration, specifically in genomic medical data, analyzing the evolution of architecture and integration techniques during the last 20 years, and its usage.Most of these solutions, based on cross-linking, data warehouse or federated approaches, are suitable for specific domains. However, none of the models found in the literature is completely appropriate for a general biomedical data integration problem.
Translational Bioinformatics Embraces Big Data
Authors: Shah N. H. 
Published: March 2018

SummaryWe review the latest trends and major developments in translational bioinformatics in the year 2011-2012. Our emphasis is on highlighting the key events in the field and pointing at promising research areas for the future. The key take-home points are:• Translational informatics is ready to revolutionize human health and healthcare using large-scale measurements on individuals.• Data–centric approaches that compute on massive amounts of data (often called “Big Data”) to discover patterns and to make clinically relevant predictions will gain adoption.• Research that bridges the latest multimodal measurement technologies with large amounts of electronic healthcare data is increasing; and is where new breakthroughs will occur.
Emerging eHealth Directions in the Philippines
Authors: Fernandez-Marcelo P. G. , Ho B. L. , Faustorilla J. F. , Evangelista A. L. , Pedrena M. , Marcelo A. 
Published: March 2018

SummaryThis paper aims to provide an overview of research and education initiatives in the Philippines. Moreover, it outlines the various agencies and organizations that spearhead the eHealth projects.The researchers utilized internet-based review of literature, key informant interviews and proceedings from two eHealth conferences among Filipino researchers in 2011 organized by the authors.eHealth capacities in the areas of research, education and service have progressed dramatically in the last four decades as a result of improved access to information and communication technology. The National Unified Health Research Agenda initiatives have been led largely by higher educational institutions and organizations specializing in eHealth. Educational reforms have been seen with the establishment of the Masters of Science in Health Informatics, infusion of Nursing Informatics into the nursing under-graduate curriculum and offering of short courses on eHealth. Service-oriented organizations and innovations have also been formulated to meet the needs of the practitioners as information and communication technologies are embedded into the healthcare de-livery system.Experts, researchers, practitioners and enthusiasts have successfully promoted awareness and uplifted the standards in the practice of eHealth in research, education and service. However, three main areas of improvement need to be given priority: (1) Policy and standards creation, (2) capability building and (3) multi-sectoral collaborations.
Data-driven model for the assessment of
Mycobacterium tuberculosis
transmission in evolving demographic structures
Authors: Arregui Sergio , Iglesias María José , Samper Sofía , Marinova Dessislava , Martin Carlos , Sanz Joaquín , Moreno Yamir 
Published: March 2018

Significance
Even though tuberculosis (TB) is acknowledged as a strongly age-dependent disease, it remains unclear how TB epidemics would react, in the following decades, to the generalized aging that human populations are experiencing worldwide. This situation is partly caused by the limitations of current transmission models at describing the relationship between demography and TB transmission. Here, we present a data-driven epidemiological model that, unlike previous approaches, explicitly contemplates relevant aspects of the coupling between age structure and TB dynamics, such as demographic evolution and contact heterogeneities. Using our model, we identify substantial biases in epidemiological forecasts rooted in an inadequate description of these aspects, at the level of both aggregated incidence and mortality rates and their distribution across age strata.
Schema learning for the cocktail party problem
Authors: Woods Kevin J. P. , McDermott Josh H. 
Published: March 2018

Significance
The “cocktail party problem” is encountered when sounds from different sources in the world mix in the air before arriving at the ear, requiring the brain to estimate individual sources from the received mixture. Sounds produced by a given source often exhibit consistencies in structure that might be useful for separating sources if they could be learned. Here we show that listeners rapidly learn the abstract structure shared by sounds from novel sources and use the learned structure to extract these sounds when they appear in mixtures. The involvement of learning and memory in our ability to hear one sound among many opens an avenue to understanding the role of statistical regularities in auditory scene analysis.
The editor’s invisibility
Authors: Bisiada Mario 
Published: March 2018

AbstractMost corpus-based studies of translation use published texts as the basis for their corpus. This overlooks interventions by other agents involved in translation such as editors, who may have significant influence on the translated text. In order to study editors’ influence on the translation product, this paper presents a comparative analysis of manuscript and published translations, which allows a differentiation of actual translated language and edited translated language. Based on a tripartite parallel corpus of English business articles and their translations into German, I analyse translators’ and editors’ influence on grammatical metaphoricity of the text, specifically on the use of nominalisations. One finding is that a significant amount of nominalisation is re-verbalised by editors. The results show that translated language may often be the result of significant editorial intervention. Thus, by just considering source text and published translation, our picture of what translators actually do may be significantly distorted.
A comparative study of the biomass properties ofErianthusand sugarcane: lignocellulose structure, alkaline delignification rate, and enzymatic saccharification efficiency
Authors: Miyamoto Takuji , Yamamura Masaomi , Tobimatsu Yuki , Suzuki Shiro , Kojima Miho , Takabe Keiji , Terajima Yoshifumi , Mihashi Asako , Kobayashi Yoshinori , Umezawa Toshiaki 
Published: March 2018

AbstractA comprehensive understanding of the structure and properties of gramineous lignocelluloses is needed to facilitate their uses in biorefinery. In this study, lignocelluloses from fractionated internode tissues of two taxonomically close species, Erianthus arundinaceus and sugarcane (Saccharum spp.), were characterized. Our analyses determined that syringyl (S) lignins were predominant over guaiacyl (G) or p-hydroxyphenyl (H) lignins in sugarcane tissues; on the other hand, S lignin levels were similar to those of G lignin in Erianthus tissues. In addition, tricin units were detected in sugarcane tissues, but not in Erianthus tissues. Distributions of lignin inter-monomeric linkage types were also different in Erianthus and sugarcane tissues. Alkaline treatment removed lignins from sugarcane tissues more efficiently than Erianthus tissues, resulting in a higher enzymatic digestibility of sugarcane tissues compared with Erianthus tissues. Our data indicate that Erianthus biomass displayed resistance to alkaline delignification and enzymatic digestion.
Metabolic engineering of Corynebacterium glutamicum for production of sunscreen shinorine
Authors: Tsuge Yota , Kawaguchi Hideo , Yamamoto Shogo , Nishigami Yoshiko , Sota Masahiro , Ogino Chiaki , Kondo Akihiko 
Published: March 2018

Abstract
Ultraviolet-absorbing chemicals are useful in cosmetics and skin care to prevent UV-induced skin damage. We demonstrate here that heterologous production of shinorine, which shows broad absorption maxima in the UV-A and UV-B region. A shinorine producing Corynebacterium glutamicum strain was constructed by expressing four genes from Actinosynnema mirum DSM 43827, which are responsible for the biosynthesis of shinorine from sedoheptulose-7-phosphate in the pentose phosphate pathway. Deletion of transaldolase encoding gene improved shinorine production by 5.2-fold. Among the other genes in pentose phosphate pathway, overexpression of 6-phosphogluconate dehydrogenase encoding gene further increased shinorine production by 60% (19.1 mg/L). The genetic engineering of the pentose phosphate pathway in C. glutamicum improved shinorine production by 8.3-fold in total, and could be applied to produce the other chemicals derived from sedoheptulose-7-phosphate.
Dietary Protein and Preservation of Physical Functioning Among Middle-Aged and Older Adults in the Framingham Offspring Study
Authors: Mustafa Jabed , Ellison R Curtis , Singer Martha R , Bradlee M Loring , Kalesan Bindu , Holick Michael F , Moore Lynn L 
Published: March 2018

AbstractDietary protein may help prevent age-related declines in strength and functional capacity. This study examines the independent relationship between dietary protein and longitudinal changes in physical functioning among adults participating in the Framingham Offspring Study from examination 5 (1991–1995) to examination 8 (2005–2008). Protein intakes were derived from 3-day diet records during examinations 3 and 5; functional status was determined over 12 years using 7 items selected from standardized questionnaires. Multivariable models adjusted for age, sex, education, physical activity, smoking, height, and energy intake. Functional tasks that benefitted most from a higher-protein diet (≥1.2 g/kg/day vs. &lt;0.8 g/kg/day) were doing heavy work at home, walking 1/2 mile (0.8 km), going up and down stairs, stooping/kneeling/crouching, and lifting heavy items. Those with higher protein intakes were 41% less likely (95% CI: 0.43, 0.82) to become dependent in 1 or more of the functional tasks over follow-up. Higher physical activity and lower body mass index were both independently associated with less functional decline. The greatest risk reductions were found among those with higher protein intakes combined with either higher physical activity, more skeletal muscle mass, or lower body mass index. This study demonstrates that dietary protein intakes above the current US Recommended Daily Allowance may slow functional decline in older adults.