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  • Interdisciplinary Systems Approach to Health - HEC 2016
    later The early bird deadline for registration will end on Sunday 3 July 2016 You can find an overview of the registration fees and the tutorials here Read more Tutorials The Tutorials are online Use the tutorials to expand your knowledge and skills They will take place on 28 August and 30 August 2016 with interesting topics in Biometry Medical Informatics Health Data Management and Epidemiology Read more Key Note Speakers Key note speakers for the plenaries are fixed We look forward to a number of excellent international key note speakers who have confirmed their participation Have a look at all speakers here Read more Timeline Submissions deadline for presentations and posters Sunday 13 Mar 2016 Submissions deadline for workshops and panels Sunday 03 April 2016 Application Deadline Science Slam Friday 29 April 2016 Notification of preliminary submission acceptance May 2016 Application Deadline EFMI travel bursaries Tuesday 10 May 2016 Submissions Deadline Doctoral Colloquium Sunday 15 May 2016 Application Deadline DGEpi travel awards Wednesday 1 Jun 2016 Application Deadline IEA EEF travel awards Wednesday 1 Jun 2016 Notification of final submission acceptance Monday 6 Jun 2016 Registration and payment deadline for authors Sunday 15 Jun 2016 Early bird registration deadline

    Original URL path: http://www.hec2016.eu/ (2016-05-02)
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  • About HEC - HEC 2016
    for young researchers EFMI Doctoral Colloquium Registration Hotel Registration Hotelbooking General Information Local Organising Committee Coord Scientific Program Committee Scientific Program Committees Exhibition Sponsoring Venue Arrival About Munich Social Events Organized City Tours Downloads About HEC 2016 Interdisciplinary The involved societies have longstanding experience in integrating the disciplines of Medical Informatics Biometry Epidemiology and Health Data Management The collaboration will not only offer a unique opportunity for integration but also strengthen each of the disciplines involved both on a national and international level Systems Approach to Health In complex systems components are interacting In our joint endeavors for better health for all we need methods taking interaction into account This is about interaction of people with their environment of clinical trials with information systems of smart homes with epidemiological research of health data management with economics of clinical research with systems biology and much more Because of this complexity we need new models which are able to integrate all these various aspects Exploring Surely the conference will not be able to deliver all solutions needed to provide health for all in Europe and the world But we promise to present a manifold and thus exciting scientific field which is attractive

    Original URL path: http://www.hec2016.eu/about-hec.html (2016-05-02)
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  • Who we are - HEC 2016
    Committees Exhibition Sponsoring Venue Arrival About Munich Social Events Organized City Tours Downloads Participating Scientific Associations German Association for Medical Informatics Biometry and Epidemiology GMDS e V The GMDS e V is active in the fields of Medical Informatics Biometry Epidemiology and Health Data Management The GMDS has 2000 members Further Information www gmds de German Society for Epidemiology DGEpi e V The DGEpi the field of Epidemiology in research and teaching It cooperates with related scientific societies for the purpose of scientific exchange in the pursuit of mutual goals and in the organization of workshops or conferences The DGEpi has 800 members Further Information www dgepi de International Epidemiological Association European Region The IEA represents research and teaching of Epidemiology throughout the world It encourages its use in all fields of Health including Social Community and Preventative Medicine The IEA has more than 1000 members in over 100 different countries Further Information www ieaweb org European Federation for Medical Informatics Association EFMI The EFMI is the leading organisation in Medical Informatics in Europe It represents 32 countries and is concerned with the theory and practice of Information Science and Technology within Health and Health Science It is the organizer

    Original URL path: http://www.hec2016.eu/41.html (2016-05-02)
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  • Welcome - HEC 2016
    societies We are happy to host this European event under the joint theme of health as a complex system This is one conference joining the activities of four scientific disciplines Medical Informatics MIE2016 Medical Biometry Bioinformatics Epidemiology and Health Data Management It will 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 new perspectives on a challenging reality filtering current hypotheses resolving controversies and tailoring interventions to the need of the individual within a health system environment Why do we meet in Munich Recently Munich developed to a centre for Life Sciences It hosts two large universities a strong federal research centre on health a large biotech cluster and German headquarters of international pharmaceutical corporations We trust that the conference will profit from this stimulating environment We meet in the historic building of the Ludwig Maximilians University in the centre of Munich close to the English Garden and other highlights of our city And of course no trip to Munich would be complete without a stop at one of the city s many Biergärten to sample

    Original URL path: http://www.hec2016.eu/welcome.html (2016-05-02)
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  • Key Note Speakers - HEC 2016
    Key Note Speakers Tutorials Submission of Contributions Topics and ideas Science Slam Awards Travel awards for young researchers EFMI Doctoral Colloquium Registration Hotel Registration Hotelbooking General Information Local Organising Committee Coord Scientific Program Committee Scientific Program Committees Exhibition Sponsoring Venue Arrival About Munich Social Events Organized City Tours Downloads Key Note Speakers We look forward to a number of excellent international key note speakers who have confirmed their participation Viktor Mayer Schönberger Oxford Internet Institute Martin McKee London School of Hygiene and Tropical Medicine Matthew Fox Center for Global Health and Development Department of Epidemiology Boston University Karen Stronks Academic Medical Center University of Amsterdam Elisabete Weiderpass Vainio Department of Medical Epidemiology and Biostatistics Karolinska Insitute Georgia Salanti Institute of Social and Preventive Medicine University of Bern Peter Jüni Applied Health Research Centre St Michael s Hospital University of Toronto Andrew Teschendorff University College London Veerle Coupe VU University Medical Center Amsterdam Angela Kennedy Department of Health Informatics and Information Management Louisiana Tech University Michal Abrahamowicz McGill University Dipak Kalra Institute of Health Informatics University College London Iain E Buchan Farr Institute for Health Informatics Research University of Manchester UK Christoph Lehmann Division of Neonatology Vanderbilt University USA Shari Langemak

    Original URL path: http://www.hec2016.eu/key-note-speakers.html (2016-05-02)
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  • Tutorials - HEC 2016
    afternoon 14 00 17 15 hrs Jan Christoph Chair of Medical Informatics University of Erlangen Nuremberg Germany Benjamin Baum Dept of Medical Informatics Univ Medical Center Göttingen Germany TranSMART is a very successful open source platform supported by the tranSMART foundation for integrating various types of clinical patient data with omics analysis data additionally providing very flexible and comprehensive statistical analyses tools In this half day hands on tutorial we will introduce newcomers the background ETL processes different analysis scenarios and its RESTful API Background First we will start with a short theoretical background comprising the evolution of tranSMART from the original Harvard University i2b2 developments to the current version tranSMART 1 2 We will illustrate its capabilities by use cases from two German university medical centers ETL Second data import is demonstrated since especially ETL is experienced as a fairly challenging step by many in the tranSMART community Using a demo dataset with clinical and omics data we will first show how to prepare these data to the necessary formats how to set up the ETL tooling and how to load the data into tranSMART User experience Third we will show how users can apply the various tranSMART querying and analysis tools in order to pursue cohort identification statistics and analysis such as ANOVA boxplots biomarker identification survival analysis heatmaps etc RESTful API Fourth not every thinkable analysis can be available within the platform itself With the development of the REST API for tranSMART it has become possible to programmatically extract data from tranSMART R is one of the most widely used languages for data science Within this training we will finally use the R interface which is an existing client for R developed on top of the REST API Targed audience early adopters if you are interested what tranSMART is offering and like to get a feeling about how to get started for what type of data integration tranSMART fits best and how one can quickly explore a given data set with the tranSMART tools you will benefit most from this tutorial By practical examples you will get a hand on training and go home with a tranSMART implementation and first user experiences It is however not planned to dig deep into the source code or the tranSMART architecture Requirements technical bring your own device Windows Linux Mac Requirements at least 4GB RAM 21GB free disk space Install Oracle Virtualbox Download and import the Virtualbox file from the URL provided after registration to this tutorial with regard to content no special skills required MI IV Technical and analytical challenges for Learning Health Systems Half day morning 10 00 13 15 hrs Niels Peek Institute of Population Health University of Manchester Learning Health Systems harness the power of data and analytics to learn from every patient and every clinical encounter feeding knowledge of what works best back to clinicians patients public health professionals and other stakeholders using repeated rapid cycles of improvement They build on established informatics methods such as real world data analysis pragmatic e trials computerised decision support and performance feedback Ideally a Learning Health System cuts across sectors of the health system taking part is voluntarily and gives a direct advantage for those who do patients clinicians and provider organisations and learning is decentralised in the sense that it occurs at all levels of scale The implementation of Learning Health Systems builds on established clinical and patient oriented systems and data flows but still comes with tremendous challenges In this tutorial we provide an introduction to the concept of Learning Health Systems and survey the current state of the art Subsequently we focus on the technical and analytical challenges that are associated with creating the Learning Health System infrastructure In particular we address statistical analysis of routinely collected data in electronic health records technical infrastructures for efficient clinical trials using electronic health records risk stratification methods and real time decision support and feedback Target audience Researchers and practitioners that intend to work on the implementation of Learning Health Systems or related concepts Background knowledge basic knowledge and skills in electronic health records statistical modelling regression analysis and epidemiology study design confounding missing values Tutorial Health Data Management Sunday 28 August 2016 HDM I Basiswissen zu Studiendesign und Auswertung in der klinischen Forschung Half day afternoon 14 00 17 15 hrs Dr Anette Blümle Cochrane Deutschland Universitätsklinikum Freiburg Dr Peggy Sekula Dept für Med Biometrie und Med Informatik Universitätsklinikum Freiburg Kurzzusammenfassung Der Workshop Basiswissen zu Studiendesign und Auswertung in der klinischen Forschung vermittelt grundlegendes Wissen zu verschiedenen Designs klinischer Studien und den jeweiligen Auswertungsmethoden Näher eingegangen wird dabei auf Therapiestudien Warum historische Vergleiche und Beobachtungsstudien problematisch sind Bedeutung der Randomisierung und Verblindung Biasquellen Intention to treat Analyse etc Des Weiteren werden Beobachtungsstudien behandelt wie z B Fall Kontroll Studien Querschnittsstudien und Kohortenstudien und die jeweiligen Zusammenhangsmaße die in diesen Studien Verwendung finden erläutert Methodik Der Workshop umfasst sowohl Präsentationen sowie dazugehörige Übungsaufgaben Bitte Taschenrechner mitbringen Die Teilnehmer erhalten eine Broschüre mit Vortragsfolien und Übungsaufgaben Zielgruppe Medizinische Dokumentare sowie andere interessierte Personen Statistische Kenntnisse werden nicht vorausgesetzt Ablauf 1 Block zum Thema Therapiestudien 2 Block zum Thema Beobachtungsstudien Tutorials Epidemiology Tuesday 30 August 2016 E I Taking Information Bias Seriously Understanding the Impact of Misclassification on Study Results and Addressing Misclassification through Quantitative Bias Analysis Full day 10 00 16 30 hrs Half day morning 10 00 13 15 hrs Half day afternoon 14 00 16 30 hrs may be booked independently morning session implications of misclassification theory and practical examples afternoon session methods for quantifying the impact of bias applications in MS Excel or STATA Prof Matthew Fox MPH DSc Boston University School of Public Health While random error is nearly always quantified in medical and epidemiologic studies systematic error rarely is Instead information bias caused by misclassification of study variables one common source of bias is typically noted as a study limitation in discussion sections most often to note the error was non differential and therefore

    Original URL path: http://www.hec2016.eu/tutorials.html (2016-05-02)
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  • Submission of Contributions - HEC 2016
    are Welcome Address Home Scientific Information Key Note Speakers Tutorials Submission of Contributions Topics and ideas Science Slam Awards Travel awards for young researchers EFMI Doctoral Colloquium Registration Hotel Registration Hotelbooking General Information Local Organising Committee Coord Scientific Program Committee Scientific Program Committees Exhibition Sponsoring Venue Arrival About Munich Social Events Organized City Tours Downloads Submissions of Contribution Submissions for HEC2016 are now closed Response was overwhelming a huge thank

    Original URL path: http://www.hec2016.eu/abstract-submission.html (2016-05-02)
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  • Topics and ideas - HEC 2016
    ambient sensors the management and analysis of such data locally and in the cloud the development of crowdsourcing trial concepts for very large cohorts with millions of participants including the use of smartphone sensor data the Quantified Self Movement new intervention models for lifestyle change and prevention the new role of participants and patients ethical implications and data protection With this in mind we also want the more classical topics of Epidemiology Medical Biometry Health Data Management and Medical Informatics to be represented Topics Epidemiology epidemiology of communicable diseases allergy cancer cardiovascular and metabolic disease occupational epidemiology genetic epidemiology neurologic and mental health epidemiology environmental epidemiology life course epidemiology epidemiology of ageing pharmacoepidemiology health geography social epidemiology paediatric epidemiology statistical methods in epidemiology Topics Medical Biometry trial designs for stratified medicine health economic evaluation in clinical trials dealing with heterogeneity in clinical trials and systematic reviews meta analysis of diagnostic accuracy studies methods for network meta analysis statistical methods for health services research Big Data techniques for clinical registries dynamic prediction with observational data statistical techniques for systems biology and systems medicine bioinformatics and statistics for sequencing data integrative analysis of high dimensional molecular data clinical trials for stratified medicine and small populations adaptive designs for phase I II studies health economic evaluation in clinical trials advances in meta analysis of diagnostic accuracy studies and network meta analysis mixed methods and qualitative health services research statistical methods for analyzing Big Data in health research statistical integration of heterogeneous data sources from registry studies and electronic health records dynamic prediction and time to event modeling with observational data statistical methods for systems biology and systems medicine bioinformatics and statistics for sequencing data external knowledge and integrative tools for high dimensional molecular data advanced multiple testing methods with applications in clinical trials

    Original URL path: http://www.hec2016.eu/topics-and-ideas.html (2016-05-02)
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