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Methods of Information in Medicine

Sebastian C Semler, Frank Wissing, Ralf Heyder
This article is part of the Focus Theme of Methods of Information in Medicine on the German Medical Informatics Initiative. The Medical Informatics Initiative (MII) was launched within the scope of the German Federal Ministry of Education and Research's (BMBF) Medical Informatics Funding Scheme, with the goal of developing infrastructure for the integration of clinical data from patient care and medical research in Germany. Its work is to be performed over the course of a decade (2016-2025) across three funding phases, with the first two concentrating on university hospitals...
July 2018: Methods of Information in Medicine
Stefanie Gehring, René Eulenfeld
This article is part of the Focus Theme of Methods of Information in Medicine on the German Medical Informatics Initiative. The Medical Informatics Initiative of the German Federal Ministry of Education and Research will make use of the potential of digitalization in the field of medicine in Germany. The aim is to improve the possibilities for medical research and patient care through innovative IT solutions. In an initial step, data integration centres will be set up at university hospitals to ensure the technical and organizational conditions necessary for multi-site exchange of data between health care and clinical and biomedical research...
July 2018: Methods of Information in Medicine
Reinhold Haux
This article is part of the Focus Theme of Methods of Information in Medicine on the German Medical Informatics Initiative. Funded by the German Federal Ministry of Education and Research with about 150 million Euro in its currently starting development and networking phase this initiative has already a significant impact on the development of health information systems in Germany. In this Focus Theme two editorials introduce this initiative, one from the viewpoint of its funding institution and one from the initiative's accompanying institutions...
July 2018: Methods of Information in Medicine
Alfred Winter, Sebastian Stäubert, Danny Ammon, Stephan Aiche, Oya Beyan, Verena Bischoff, Philipp Daumke, Stefan Decker, Gert Funkat, Jan E Gewehr, Armin de Greiff, Silke Haferkamp, Udo Hahn, Andreas Henkel, Toralf Kirsten, Thomas Klöss, Jörg Lippert, Matthias Löbe, Volker Lowitsch, Oliver Maassen, Jens Maschmann, Sven Meister, Rafael Mikolajczyk, Matthias Nüchter, Mathias W Pletz, Erhard Rahm, Morris Riedel, Kutaiba Saleh, Andreas Schuppert, Stefan Smers, André Stollenwerk, Stefan Uhlig, Thomas Wendt, Sven Zenker, Wolfgang Fleig, Gernot Marx, André Scherag, Markus Löffler
INTRODUCTION: This article is part of the Focus Theme of Methods of Information in Medicine on the German Medical Informatics Initiative. "Smart Medical Information Technology for Healthcare (SMITH)" is one of four consortia funded by the German Medical Informatics Initiative (MI-I) to create an alliance of universities, university hospitals, research institutions and IT companies. SMITH's goals are to establish Data Integration Centers (DICs) at each SMITH partner hospital and to implement use cases which demonstrate the usefulness of the approach...
July 2018: Methods of Information in Medicine
Hans-Ulrich Prokosch, Till Acker, Johannes Bernarding, Harald Binder, Martin Boeker, Melanie Boerries, Philipp Daumke, Thomas Ganslandt, Jürgen Hesser, Gunther Höning, Michael Neumaier, Kurt Marquardt, Harald Renz, Hermann-Josef Rothkötter, Carmen Schade-Brittinger, Paul Schmücker, Jürgen Schüttler, Martin Sedlmayr, Hubert Serve, Keywan Sohrabi, Holger Storf
INTRODUCTION: This article is part of the Focus Theme of Methods of Information in Medicine on the German Medical Informatics Initiative. Similar to other large international data sharing networks (e.g. OHDSI, PCORnet, eMerge, RD-Connect) MIRACUM is a consortium of academic and hospital partners as well as one industrial partner in eight German cities which have joined forces to create interoperable data integration centres (DIC) and make data within those DIC available for innovative new IT solutions in patient care and medical research...
July 2018: Methods of Information in Medicine
Birger Haarbrandt, Björn Schreiweis, Sabine Rey, Ulrich Sax, Simone Scheithauer, Otto Rienhoff, Petra Knaup-Gregori, Udo Bavendiek, Christoph Dieterich, Benedikt Brors, Inga Kraus, Caroline Marieken Thoms, Dirk Jäger, Volker Ellenrieder, Björn Bergh, Ramin Yahyapour, Roland Eils, HiGHmed Consortium, Michael Marschollek
INTRODUCTION: This article is part of the Focus Theme of Methods of Information in Medicine on the German Medical Informatics Initiative. HiGHmed brings together 24 partners from academia and industry, aiming at improvements in care provision, biomedical research and epidemiology. By establishing a shared information governance framework, data integration centers and an open platform architecture in cooperation with independent healthcare providers, the meaningful reuse of data will be facilitated...
July 2018: Methods of Information in Medicine
Fabian Prasser, Oliver Kohlbacher, Ulrich Mansmann, Bernhard Bauer, Klaus A Kuhn
INTRODUCTION: This article is part of the Focus Theme of Methods of Information in Medicine on the German Medical Informatics Initiative. Future medicine will be predictive, preventive, personalized, participatory and digital. Data and knowledge at comprehensive depth and breadth need to be available for research and at the point of care as a basis for targeted diagnosis and therapy. Data integration and data sharing will be essential to achieve these goals. For this purpose, the consortium Data Integration for Future Medicine (DIFUTURE) will establish Data Integration Centers (DICs) at university medical centers...
July 2018: Methods of Information in Medicine
Ursula Hübner, Toria Shaw, Johannes Thye, Nicole Egbert, Heimar de Fatima Marin, Polun Chang, Siobhán O'Connor, Karen Day, Michelle Honey, Rachelle Blake, Evelyn Hovenga, Diane Skiba, Marion J Ball
BACKGROUND: While health informatics recommendations on competencies and education serve as highly desirable corridors for designing curricula and courses, they cannot show how the content should be situated in a specific and local context. Therefore, global and local perspectives need to be reconciled in a common framework. OBJECTIVES: The primary aim of this study is therefore to empirically define and validate a framework of globally accepted core competency areas in health informatics and to enrich this framework with exemplar information derived from local educational settings...
June 2018: Methods of Information in Medicine
Christoph Maier, Hartmut Dickhaus
OBJECTIVES: To assess the relevance of various potential confounding factors (comorbidities, obesity, body position, ECG lead, respiratory event type and sleep stage) on the detectability of sleep-related breathing disorders from the ECG. METHODS: A set of 140 simultaneous recordings of polysomnograms and 8-channel Holter ECGs taken from 121 patients with suspected sleep related breathing disorders is stratified with respect to the named factors. Minute-by-minute apnea detection performance is assessed using separate receiver operating characteristics curves for each of the subgroups...
May 2018: Methods of Information in Medicine
Georg Dietrich, Jonathan Krebs, Georg Fette, Maximilian Ertl, Mathias Kaspar, Stefan Störk, Frank Puppe
BACKGROUND: Clinical Data Warehouses (CDW) reuse Electronic health records (EHR) to make their data retrievable for research purposes or patient recruitment for clinical trials. However, much information are hidden in unstructured data like discharge letters. They can be preprocessed and converted to structured data via information extraction (IE), which is unfortunately a laborious task and therefore usually not available for most of the text data in CDW. OBJECTIVES: The goal of our work is to provide an ad hoc IE service that allows users to query text data ad hoc in a manner similar to querying structured data in a CDW...
May 2018: Methods of Information in Medicine
Etsuko Shimizu, Toru Nakamura, Jinhyuk Kim, Kazuhiro Yoshiuchi, Yoshiharu Yamamoto
BACKGROUND: The mutual dependencies between mother and infant circadian rhythms are important for examining disturbances of maternal circadian rhythms, which are considered substantial risk factors for the development of maternal depression during childrearing periods. OBJECTIVES: We characterized the mutual dependencies of maternal-infant circadian rhythms by an index of synchronization properties and then tested the hypothesis that such an index, specifically the instantaneous phase differences between their rhythms, is associated with maternal mental health...
May 2018: Methods of Information in Medicine
Roberto Leonarduzzi, Patrice Abry, Herwig Wendt, Ken Kiyono, Yoshiharu Yamamoto, Eiichi Watanabe, Junichiro Hayano
BACKGROUND: Atrial fibrillation (AF) is an identified risk factor for ischemic strokes (IS). AF causes a loss in atrial contractile function that favors the formation of thrombi, and thus increases the risk of stroke. Also, AF produces highly irregular and complex temporal dynamics in ventricular response RR intervals. Thus, it is hypothesized that the analysis of RR dynamics could provide predictors for IS. However, these complex and nonlinear dynamics call for the use of advanced multiscale nonlinear signal processing tools...
May 2018: Methods of Information in Medicine
Gaetano Valenza, Luca Iozzia, Luca Cerina, Luca Mainardi, Riccardo Barbieri
BACKGROUND: There is a fast growing interest in the use of non-contact devices for health and performance assessment in humans. In particular, the use of non-contact videophotoplethysmography (vPPG) has been recently demonstrated as a feasible way to extract cardiovascular information. Nevertheless, proper validation of vPPG-derived heartbeat dynamics is still missing. OBJECTIVE: We aim to an in-depth validation of time-varying, linear and nonlinear/complex dynamics of the pulse rate variability extracted from vPPG...
May 2018: Methods of Information in Medicine
Steffen Schulz, Mathias Bolz, Karl-Jürgen Bär, Andreas Voss
BACKGROUND: The central control of the autonomic nervous system (ANS) and the complex interplay of its components can be described by a functional integrated mode - the central autonomic network (CAN). CAN represents the integrated functioning and interaction between the central nervous system (CNS) and ANS (parasympathetic and sympathetic activity). OBJECTIVE: This study investigates the central cardiovascular network (CCVN) as a part of the CAN, during which heart rate (HR), systolic blood pressure (SYS) and frontal EEG activity in 21 healthy subjects (CON) will be analysed...
May 2018: Methods of Information in Medicine
Ikuhiro Yamaguchi, Akifumi Kishi, Fumiharu Togo, Toru Nakamura, Yoshiharu Yamamoto
OBJECTIVES: This study aimed to describe a robust method with high time resolution for estimating the cortico-thalamo-cortical (CTC) loop strength and the delay when using a scalp electroencephalography (EEG) and to illustrate its applicability for analyzing the wake-sleep transition. METHODS: The basic framework for the proposed method is the parallel use of a physiological model and a parametric phenomenological model: a neural field theory (NFT) of the corticothalamic system and an autoregressive (AR) model...
May 2018: Methods of Information in Medicine
Kazuo Yana, Yoshiharu Yamamoto, Taishin Nomura
No abstract text is available yet for this article.
May 2018: Methods of Information in Medicine
Felicitas Vogelgesang, Peter Schlattmann, Marc Dewey
BACKGROUND: Meta-analyses require a thoroughly planned procedure to obtain unbiased overall estimates. From a statistical point of view not only model selection but also model implementation in the software affects the results. OBJECTIVES: The present simulation study investigates the accuracy of different implementations of general and generalized bivariate mixed models in SAS (using proc mixed, proc glimmix and proc nlmixed), Stata (using gllamm, xtmelogit and midas) and R (using reitsma from package mada and glmer from package lme4)...
May 2018: Methods of Information in Medicine
Saman Abdullah, Thomas Bouchard, Amna Klich, Rene Leiva, Cecilia Pyper, Christophe Genolini, Fabien Subtil, Jean Iwaz, René Ecochard
BACKGROUND: Even in normally cycling women, hormone level shapes may widely vary between cycles and between women. Over decades, finding ways to characterize and compare cycle hormone waves was difficult and most solutions, in particular polynomials or splines, do not correspond to physiologically meaningful parameters. OBJECTIVE: We present an original concept to characterize most hormone waves with only two parameters. METHODS: The modelling attempt considered pregnanediol-3-alpha-glucuronide (PDG) and luteinising hormone (LH) levels in 266 cycles (with ultrasound-identified ovulation day) in 99 normally fertile women aged 18 to 45...
May 2018: Methods of Information in Medicine
Geraldine Rauch, Werner Brannath, Matthias Brückner, Meinhard Kieser
BACKGROUND: In many clinical trial applications, the endpoint of interest corresponds to a time-to-event endpoint. In this case, group differences are usually expressed by the hazard ratio. Group differences are commonly assessed by the logrank test, which is optimal under the proportional hazard assumption. However, there are many situations in which this assumption is violated. Especially in applications were a full population and several subgroups or a composite time-to-first-event endpoint and several components are considered, the proportional hazard assumption usually does not simultaneously hold true for all test problems under investigation...
May 2018: Methods of Information in Medicine
Yong Chen, Marko Zivkovic, Tongtong Wang, Su Su, Jianyi Lee, Edward A Bortnichak
BACKGROUND: Clinical coding systems have been developed to translate real-world healthcare information such as prescriptions, diagnoses and procedures into standardized codes appropriate for use in large healthcare datasets. Due to the lack of information on coding system characteristics and insufficient uniformity in coding practices, there is a growing need for better understanding of coding systems and their use in pharmacoepidemiology and observational real world data research. OBJECTIVES: To determine: 1) the number of available coding systems and their characteristics, 2) which pharmacoepidemiology databases are they adopted in, 3) what outcomes and exposures can be identified from each coding system, and 4) how robust they are with respect to consistency and validity in pharmacoepidemiology and observational database studies...
February 2018: Methods of Information in Medicine
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