[Framework for responsible venous access and IV management]. / Allen op één lijn ? Kaders voor verantwoorde veneuze toegang en infuusmanagement.

Intravascular catheters are indispensable in current healthcare. The introduction of a peripheral venous or central venous catheter and managing infusion therapy are care processes that over time have become integral to the organisation, and in which multiple care providers play a role. Introducing an IV appears to be a straightforward repetitive task, but often proves to be a considerable burden to the patient and a source of dissatisfaction, morbidity and mortality. Inadequate decision-making, inexperience and lack of a guideline can lead to poor IV management. There is a need for improvement in many care facilities. A programmatic approach such as the Vessel Health and Preservation Principle can be a great asset in this. In this article we outline the framework for responsible vascular access and infusion therapy.

The European Institute for Innovation through Health Data.

The European Institute for Innovation through Health Data (i~HD, www.i-hd.eu) has been formed as one of the key sustainable entities arising from the Electronic Health Records for Clinical Research (IMI-JU-115189) and SemanticHealthNet (FP7-288408) projects, in collaboration with several other European projects and initiatives supported by the European Commission. i~HD is a European not-for-profit body, registered in Belgium through Royal Assent. i~HD has been established to tackle areas of challenge in the successful scaling up of innovations that critically rely on high-quality and interoperable health data. It will specifically address obstacles and opportunities to using health data by collating, developing, and promoting best practices in information governance and in semantic interoperability. It will help to sustain and propagate the results of health information and communication technology (ICT) research that enables better use of health data, assessing and optimizing their novel value wherever possible. i~HD has been formed after wide consultation and engagement of many stakeholders to develop methods, solutions, and services that can help to maximize the value obtained by all stakeholders from health data. It will support innovations in health maintenance, health care delivery, and knowledge discovery while ensuring compliance with all legal prerequisites, especially regarding the insurance of patient's privacy protection. It is bringing multiple stakeholder groups together so as to ensure that future solutions serve their collective needs and can be readily adopted affordably and at scale.

Electronic health records: new opportunities for clinical research.

Clinical research is on the threshold of a new era in which electronic health records (EHRs) are gaining an important novel supporting role. Whilst EHRs used for routine clinical care have some limitations at present, as discussed in this review, new improved systems and emerging research infrastructures are being developed to ensure that EHRs can be used for secondary purposes such as clinical research, including the design and execution of clinical trials for new medicines. EHR systems should be able to exchange information through the use of recently published international standards for their interoperability and clinically validated information structures (such as archetypes and international health terminologies), to ensure consistent and more complete recording and sharing of data for various patient groups. Such systems will counteract the obstacles of differing clinical languages and styles of documentation as well as the recognized incompleteness of routine records. Here, we discuss some of the legal and ethical concerns of clinical research data reuse and technical security measures that can enable such research while protecting privacy. In the emerging research landscape, cooperation infrastructures are being built where research projects can utilize the availability of patient data from federated EHR systems from many different sites, as well as in international multilingual settings. Amongst several initiatives described, the EHR4CR project offers a promising method for clinical research. One of the first achievements of this project was the development of a protocol feasibility prototype which is used for finding patients eligible for clinical trials from multiple sources.

Trustworthy reuse of health data: a transnational perspective.

BACKGROUND: The widespread adoption of electronic health records (EHRs) is accelerating the collection of sensitive clinical data. The availability of these data raises privacy concerns, yet sharing the data is essential for public health, longitudinal patient care, and clinical research. METHOD: Following previous work in the United States [1,2], the International Medical Informatics Association convened the 2012 European Summit on Trustworthy Reuse of Health Data. Over 100 delegates representing national governments, academia, patient groups, industry, and the European Commission participated. In all, 21 countries were represented. The agenda was designed to solicit a wide range of perspectives on trustworthy reuse of health data from the participants. RESULTS AND CONCLUSIONS: Delegates agreed that the "government" should provide oversight, that the reuse should be "fully regulated," and that the patient should be "fully informed." One important reflection was that doing nothing will have negative implications across the European Union (EU). First, continued fragmented parallel non-standards-based developments in multiple sectors entail a substantial duplication of costs and human effort. Second, a failure to work jointly across the stakeholders on common policy frameworks will forego a crucial opportunity to boost key EU markets (pharmaceuticals, health technology and devices, and eHealth solutions) and counter global competition. Finally, and crucially, the lack of harmonized policy across EU nations for trustworthy reuse of health data risks patient safety. The productive dialog, initiated with multiple stakeholders from government, academia, and industry, will have to continue, in order to address the many remaining issues outlined in this white paper.

Electronic medical file exchange between on-duty care providers and the attending paediatrician: a Belgian paediatric pilot project.

The authors propose the introduction of a pilot project: "paediatric core file exchange in emergencies" (PCF-EXEM) which enables the exchange of medical data between the attending paediatrician (AP), holder of the medical record, and on-duty medical units (i.e. general practitioners, paediatricians, surgeons, emergency physicians,...). This project is based on two pillars: a protected server (PCF-server) containing paediatric core files (PCF), with important clinical data that should be available for the physician in order to quickly get a clear insight into the relevant clinical medical history of the child, and secondly, the possibility to provide feedback to the attending physician about the findings recorded during the on-call duty. The permanent availability of health data on the PCF-server and the possibility to provide feedback represent together the PCF-EXEM-project. This project meets the demand of the care providers to have relevant medical information permanently available in order to guarantee high quality care in emergency situations. The frail balance between the right to informative privacy and professional confidentiality on the one hand and the right to quality health care on the other hand has been taken into account. The technical and practical feasibility of this project is described. The objectives and vision of the PCF-EXEM project are conform to Belgian legislation concerning the processing of medical data and are in line with the still under consideration European projects which are focusing on interoperability and the development of a common access control to databanks containing health data for care providers. PCF-EXEM could therefore be a model for other EU countries as well.

An evolutionary approach to realism-based adverse event representations.

BACKGROUND: Part of the ReMINE project involved the creation of an ontology enabling computer-assisted decision support for optimal adverse event management. OBJECTIVES: The ontology was required to satisfy the following requirements: 1) to be able to account for the distinct and context-dependent ways in which authoritative sources define the term 'adverse event', 2) to allow the identification of relevant risks against patient safety (RAPS) on the basis of the disease history of a patient as documented in electronic health records, and 3) to be compatible with present and future ontologies developed under the Open Biomedical Ontology (OBO) Foundry framework. METHODS: We used as feeder ontologies the Basic Formal Ontology, the Foundational Model of Anatomy, the Ontology for General Medical Science, the Information Artifact Ontology and the Ontology of Mental Health. We further used relations defined according to the pattern set forth in the OBO Relation Ontology. In light of the intended use of the ontology for the representation of adverse events that have actually occurred and therefore are registered in a database, we also applied the principles of referent tracking. RESULTS: We merged the upper portions of the mentioned feeder ontologies and introduced 22 additional representational units of which 13 are generally applicable in biomedicine and nine in the adverse event context. We provided for each representational unit a textual definition that can be translated into equivalent formal definitions. CONCLUSION: The resulting ontology satisfies all of the requirements set forth. Merging the feeder ontologies, although all designed under the OBO Foundry principles, brought new insight into what the representational units of such ontologies actually denote.

A novel time series analysis approach for prediction of dialysis in critically ill patients using echo-state networks.

BACKGROUND: Echo-state networks (ESN) are part of a group of reservoir computing methods and are basically a form of recurrent artificial neural networks (ANN). These methods can perform classification tasks on time series data. The recurrent ANN of an echo-state network has an 'echo-state' characteristic. This 'echo-state' functions as a fading memory: samples that have been introduced into the network in a further past, are faded away. The echo-state approach for the training of recurrent neural networks was first described by Jaeger H. et al. In clinical medicine, until this moment, no original research articles have been published to examine the use of echo-state networks. METHODS: This study examines the possibility of using an echo-state network for prediction of dialysis in the ICU. Therefore, diuresis values and creatinine levels of the first three days after ICU admission were collected from 830 patients admitted to the intensive care unit (ICU) between May 31 th 2003 and November 17th 2007. The outcome parameter was the performance by the echo-state network in predicting the need for dialysis between day 5 and day 10 of ICU admission. Patients with an ICU length of stay <10 days or patients that received dialysis in the first five days of ICU admission were excluded. Performance by the echo-state network was then compared by means of the area under the receiver operating characteristic curve (AUC) with results obtained by two other time series analysis methods by means of a support vector machine (SVM) and a naive Bayes algorithm (NB). RESULTS: The AUC's in the three developed echo-state networks were 0.822, 0.818, and 0.817. These results were comparable to the results obtained by the SVM and the NB algorithm. CONCLUSIONS: This proof of concept study is the first to evaluate the performance of echo-state networks in an ICU environment. This echo-state network predicted the need for dialysis in ICU patients. The AUC's of the echo-state networks were good and comparable to the performance of other classification algorithms. Moreover, the echo-state network was more easily configured than other time series modeling technologies.

Privacy Protection through pseudonymisation in eHealth.

The ISO TC215 WG4 pseudonymisation task group has produced in 2008 a first version of a technical specification for the application of pseudonymisation in Healthcare Informatics 0. This paper investigates the principles set out in the technical specification as well as its implications in eHealth. The technical specification starts out with a conceptual model and evolves from a theoretical model to a real life model by adding assumptions on the observability of personal data.

The use of a compliant EHR when providing clinical pathway driven care to a subset of diabetic patients: recommendation from a Working Group.

The Belgian National Health Insurance Institute (NHII) and other Healthcare Authorities intend to improve the quality of care through promoting clinical pathway driven care and by optimising cooperation between the responsible primary care physician and the diabetologist. Patients and healthcare professionals are granted some (financial) benefits when meeting the conditions defined in a mutual agreement.This article describes the conditions and the functional requirements to be met by an EHR to enable and to maximise the benefits of a clinical pathway driven patient care to a specific group of diabetic type 2 patients, based on a mandate issued by the NHII.The generic and specific functional requirements are then translated in test criteria for certification and prioritised in an implementation plan.

Design of a flexible platform for execution of medical decision support agents in the intensive care unit.

This paper addresses the design of a generic and scalable platform for the execution of medical decision support agents in the intensive care unit (ICU). As will be motivated, medical decision support agents can impose high computational load and in practical setups a large amount of such agents are typically running in parallel. Future ICU systems will rely on extensive medical decision support. However, in current systems only one workstation is typically dedicated for the execution of medical decision support agents. Therefore, we propose an architecture based on middleware technology to allow for easy distribution of the agents along multiple workstations. The architecture allows for easy integration with a general ICU data flow management architecture.

The Healthgrid White Paper.

Over the last four years, a community of researchers working on Grid and High Performance Computing technologies started discussing the barriers and opportunities that grid technologies must face and exploit for the development of health-related applications. This interest lead to the first Healthgrid conference, held in Lyon, France, on January 16th-17th, 2003, with the focus of creating increased awareness about the possibilities and advantages linked to the deployment of grid technologies in health, ultimately targeting the creation of a European/international grid infrastructure for health. The topics of this conference converged with the position of the eHealth division of the European Commission, whose mandate from the Lisbon Meeting was "To develop an intelligent environment that enables ubiquitous management of citizens' health status, and to assist health professionals in coping with some major challenges, risk management and the integration into clinical practice of advances in health knowledge." In this context "Health" involves not only clinical procedures but covers the whole range of information from molecular level (genetic and proteomic information) over cells and tissues, to the individual and finally the population level (social healthcare). Grid technology offers the opportunity to create a common working backbone for all different members of this large "health family" and will hopefully lead to an increased awareness and interoperability among disciplines. The first HealthGrid conference led to the creation of the Healthgrid association, a non-profit research association legally incorporated in France but formed from the broad community of European researchers and institutions sharing expertise in health grids. After the second Healthgrid conference, held in Clermont-Ferrand on January 29th-30th, 2004, the need for a "white paper" on the current status and prospective of health grids was raised. Over fifty experts from different areas of grid technologies, eHealth applications and the medical world were invited to contribute to the preparation of this document.

Privacy protection for HealthGrid applications.

OBJECTIVES: This contribution aims at introducing the problem of privacy protection in e-Health and at describing a number of existing privacy enhancing techniques (PETs). The recognition that privacy constitutes a fundamental right is gradually entering public awareness. Because healthcare-related data are susceptible to being abused for many obvious reasons, public apprehension about privacy has focused on medical data. Public authorities have become convinced of the need to enforce privacy protection and make considerable efforts for promoting through privacy protection legislation the deployment of PETs. METHODS: Based on the study of the specific features of Grid technology, ways in which PET services could be integrated in the HealthGrid are being analyzed. Grid technology aims at removing barriers between local and remote resources. The privacy and legal issues raised by the HealthGrid are caused by the transparent interchange and processing of sensitive medical information. PET technology has already proven its usefulness for privacy protection in health-related marketing and research data collection. RESULTS: While this paper does not describe market-ready solutions for privacy protection in the HealthGrid, it puts forward several cases in which the Grid may benefit from PETs. CONCLUSION: Early integration of privacy protection services into the HealthGrid can lead to a synergy that is beneficial for the development of the HealthGrid itself.

Synergy between medical informatics and bioinformatics: facilitating genomic medicine for future health care.

In this paper, we review the results of BIOINFOMED, a study funded by the European Commission (EC) with the purpose to analyse the different issues and challenges in the area where Medical Informatics and Bioinformatics meet. Traditionally, Medical Informatics has been focused on the intersection between computer science and clinical medicine, whereas Bioinformatics have been predominantly centered on the intersection between computer science and biological research. Although researchers from both areas have occasionally collaborated, their training, objectives and interests have been quite different. The results of the Human Genome and related projects have attracted the interest of many professionals, and introduced new challenges that will transform biomedical research and health care. A characteristic of the 'post genomic' era will be to correlate essential genotypic information with expressed phenotypic information. In this context, Biomedical Informatics (BMI) has emerged to describe the technology that brings both disciplines (BI and MI) together to support genomic medicine. In recognition of the dynamic nature of BMI, institutions such as the EC have launched several initiatives in support of a research agenda, including the BIOINFOMED study.

e-Health standardization in Europe: lessons learned.

Challenges regarding standardization in e-Health are analyzed, and solutions for ensuring their practical implementation are proposed. Emphasis is put on new mechanisms for enhancing the collaboration between the industry and standardization bodies.

Privacy enhancing techniques - the key to secure communication and management of clinical and genomic data.

OBJECTIVES: To introduce some of the privacy protection problems related to genomics based medicine and to highlight the relevance of Trusted Third Parties (TTPs) and of Privacy Enhancing Techniques (PETs) in the restricted context of clinical research and statistics. METHODS: Practical approaches based on two different pseudonymisation models, both for batch and interactive data collection and exchange, are described and analysed. RESULTS AND CONCLUSIONS: The growing need of managing both clinical and genetic data raises important legal and ethical challenges. Protecting human rights in the realm of privacy, while optimising research potential and other statistical activities is a challenge that can easily be overcome with the assistance of a trust service provider offering advanced privacy enabling/enhancing solutions. As such, the use of pseudonymisation and other innovative Privacy Enhancing Techniques can unlock valuable data sources.

On the design of a generic and scalable multilayer software architecture for data flow management in the intensive care unit.

OBJECTIVES: The current Intensive Care Information Systems (IC-ISs) collect and store monitoring data in on automated way and can replace all paper forms by an electronic equivalent, resulting in a paperless ICU. Future development of IC-ISs will now have to focus on bedside clinical decision support. The current IC-ISs are data-driven systems, with a two-layer software architecture. This software architecture is hardly maintainable and probably not the most optimal architecture to make the transition towards future systems with-decision support. The aim of this research was to address the design of an alternative software architecture based on new paradigms. METHODS: State-of-the art component, middleware and agent technology were deployed to design and implement a software architecture for ICU data flow management. RESULTS: An advanced multi-layer architecture for efficient data flow management in the ICU has been designed. The architecture is both generic and scalable, which means that it neither depends on a particular ICU nor on the deployed monitoring devices. Automatic device detection and Graphical User Interface generation are taken into account. Furthermore, a demonstrator has been developed as a proof that the proposed conceptual software architecture is feasible in practice. The core of the new architecture consists of Bed Decision Agents (BDAs). The introduction of BDAs, who perform specific dedicated tasks, improves the adaptability and maintainability of the future very complex IC-ISs. CONCLUSIONS: A software architecture, based on component, middleware and agent technology, is feasible and offers important advantages over the currently used two-layer software architecture.

The Dynamic Patient Simulator: learning process, first results and students' satisfaction.

The Dynamic Patient Simulator (DPS) is an interactive case-program. After solving the case, third year medical students filled in an anonymous questionnaire. In this study we tried to have insight in the students' learning process and satisfaction. First results are presented. It seems that the implementation of the case was experienced as positive. The time aspect should be scheduled better and students should have as much time as they want to solve the case.

Test-based E-Learning: a new path in training medical students.

TENDO is a project conducted by the Department of Medical Informatics and Statistics of the Ghent University in the field of E-Learning and more specifically E-Testing (Electronic, on line testing). At this stage, the main goal of Tendo is to measure the knowledge of (medical) students making use of the Internet. The on line Tendo E-Testing tool has been used to examine students of the 4th year studying Physical Therapy and Rehabilitation. The aim of this document is to give an overview of the features of E-Testing and more specifically of the Tendo product.