The open medical informatics journal最新文献

Glycomics is a discipline of biology that deals with the structure and function of glycans (or carbohydrates). Analytical techniques such as mass spectrometry (MS) and nuclear magnetic resonance (NMR) are having a significant impact on the field of glycomics. However, effective progress in glycomics research requires collaboration between laboratories to share experimental data, structural information of glycans, and simulation results. Herein we report the development of a web-based data management system that can incorporate large volumes of data from disparate sources and organize them into a uniform format for users to store and access. This system enables participating laboratories to set up a shared data repository which members of interdisciplinary teams can access. The system is able to manage and share raw MS data and structural information of glycans.The database is available at http://www.glycomics.bcf.ku.edu.

The current imaging methods have a limited ability to visualize microstructures of biological soft tissues. Small lesions cannot be detected at the early stage of the disease. Phase contrast imaging (PCI) is a novel non-invasive imaging technique that can provide high contrast images of soft tissues by the use of X-ray phase shift. It is a new choice in terms of non-invasively revealing soft tissue details. In this study, the lung and hepatic fibrosis models of mice and rats were used to investigate the ability of PCI in microstructures observation of soft tissues. Our results demonstrated that different liver fibrosis stages could be distinguished non-invasively by PCI. The three-dimensional morphology of a segment of blood vessel was constructed. Noteworthy, the blood clot inside the vessel was visualized in three dimensions which provided a precise description of vessel stenosis. Furthermore, the whole lung airways including the alveoli were obtained. We had specifically highlighted its use in the visualization and assessment of the alveoli. To our knowledge, this was the first time for non-invasive alveoli imaging using PCI. This finding may offer a new perspective on the diagnosis of respiratory disease. All the results confirmed that PCI will be a valuable tool in biological soft tissues imaging.

Introduction: Process-supporting information technology holds the potential to increase efficiency, reduce errors, and alter professional roles and responsibilities in a manner which allows improvement in the delivery of patient care. However, clashes between the model of health care work inscribed in these tools with the actual nature of work has resulted in staff resistance and decreased organisational uptake of ICT, as well as the facilitation of unexpected and negative effects in efficiency and patient safety. Sociotechnical theory provides a paradigm against which workflow and transfusion of ICT in healthcare could be better explored and understood.

Design: This paper will conceptualise a formative, multi-method longitudinal evaluation process to explore the impact of ICT with an appreciation of the relationship between the social and technical systems within a clinical department.

Method: Departmental culture, including clinical work processes and communication patterns will be thoroughly explored before system implementation using both quantitative and qualitative research methods. Findings will be compared with post implementation data, which will incorporate measurement of safety and workflow efficiency indicators.

Discussion: Sociotechnical theory provides a paradigm against which workflow and transfusion of ICT in healthcare could be better explored and understood. However, sociotechnical and multimethod approaches to evaluation do not exist without criticism. Inherent in the protocol are limitations of sociotechnical theory and criticism of the multimethod approach; testing of the methodology in real clinical settings will serve to verify efficacy and refine the process.

Building an evidence base for healthcare interventions has long been advocated as both professionally and ethically desirable. By supporting meaningful comparison amongst different approaches, a good evidence base has been viewed as an important element in optimising clinical decision-making and the safety and quality of care. Unsurprisingly, medical research has put considerable effort into supporting the development of this evidence base, and the randomised controlled trial has become the dominant methodology. Recently however, a body of research has begun to question, not just this methodology per se, but also the extent to which the evidence it produces may marginalise individual patient experiences, priorities and perceptions.Simultaneously, the widespread adoption and utilisation of information systems (IS) in health care has also prompted initiatives to develop a stronger base of evidence about their impacts. These calls have been stimulated both by numerous system failures and research expressing concerns about the limitations of information systems methodologies in health care environments. Alongside the potential of information systems to produce positive, negative and unintended consequences, many measures of success, impact or benefit appear to have little to do with improvements in care, health outcomes or individual patient experiences.Combined these methodological concerns suggest the need for more detailed examination. This is particularly the case, given the prevalence within contemporary clinical and IS discourses on health interventions advocating the need to put the 'patient at the centre' by engaging them in their own care and/or 'empowering' them through the use of information systems.This paper aims to contribute to these on-going debates by focusing on the socio-technical processes by which patients' interests and outcomes are measured, defined and evaluated within health interventions that involve them using web-based information systems. The paper outlines an integrated approach that aims to generate evidence about the impact of these types of health interventions that are meaningful at both individual patient and patient cohort levels.

The purpose of this paper is to argue for an integration of cognitive and socio-technical approaches to assessing the impact of health information systems. Historically, health informatics research has examined the cognitive and socio-technical aspects of health information systems separately. In this paper we argue that evaluations of health information systems should consider aspects related to cognition as well as socio-technical aspects including impact on workflow (i.e. an integrated view). Using examples from the study of technology-induced error in healthcare, we argue for the use of simulations to evaluate the cognitive-socio-technical impacts of health information technology [36]. Implications of clinical simulations and analysis of cognitive-social-technical impacts are discussed within the context of the system development life cycle to improve health information system design, implementation and evaluation.