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Studies in Health Technology and Informatics

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https://www.readbyqxmd.com/read/28883207/author-index
#1
(no author information available yet)
No abstract text is available yet for this article.
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28883206/subject-index
#2
(no author information available yet)
No abstract text is available yet for this article.
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28883205/processual-reasoning-over-sequences-of-situations-in-endoscopic-surgery
#3
Sebastian Siemoleit, Alexandr Uciteli, Richard Bieck, Heinrich Herre
Minimally invasive surgery is a highly complex and technically demanding alternative to open surgery. Surgical procedures based on this method are characterized by small incisions and allow for a fast recovery of the patient. Such techniques are challenging for surgeons since they do not have a direct view of the surgical area. Systems that provide surgical navigation are well established in clinical practice but depend on external markers allowing a mapping between a surgeon's tools and a patient's medical images...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28883204/considering-information-up-to-dateness-to-increase-the-accuracy-of-therapy-decision-support-systems
#4
Jan Gaebel, Mario A Cypko, Steffen Oeltze-Jafra
During the diagnostic process a lot of information is generated. All this information is assessed when making a final diagnosis and planning the therapy. While some patient information is stable, e.g., gender, others may become outdated, e.g., tumor size derived from CT data. Quantifying this information up-to-dateness and deriving consequences are difficult. Especially for the implementation in clinical decision support systems, this has not been studied. When information entities tend to become outdated, in practice, clinicians intuitively reduce their impact when making decisions...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28883203/machine-learning-models-of-post-intubation-hypoxia-during-general-anesthesia
#5
Philipp Sippl, Thomas Ganslandt, Hans-Ulrich Prokosch, Tino Muenster, Dennis Toddenroth
Fine-meshed perioperative measurements are offering enormous potential for automatically investigating clinical complications during general anesthesia. In this study, we employed multiple machine learning methods to model perioperative hypoxia and compare their respective capabilities. After exporting and visualizing 620 series of perioperative vital signs, we had ten anesthesiologists annotate the subjective presence and severity of temporary post-intubation oxygen desaturation. We then applied specific clustering and prediction methods on the acquired annotations, and evaluated their performance in comparison to the inter-rater agreement between experts...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28883202/evaluation-of-an-interactive-visualization-tool-for-the-interpretation-of-pediatric-laboratory-test-results
#6
Johannes Hirschmann, Brita Sedlmayr, Jakob Zierk, Manfred Rauh, Markus Metzler, Hans-Ulrich Prokosch, Dennis Toddenroth
The physiological age-related development of pediatric laboratory results interferes with pathological derangements, which can complicate the interpretation of test results. Recently proposed continuous reference intervals (RIs) promise to be beneficial, although their clinical use may depend on graphical presentations. To estimate the clinical utility of continuous RIs, we developed and evaluated an interactive visualization tool, and examined the differentiation of hemoglobinopathies that is attainable based on the underlying innovative RI model...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28883201/deep-learning-for-magnetic-resonance-fingerprinting-a-new-approach-for-predicting-quantitative-parameter-values-from-time-series
#7
Elisabeth Hoppe, Gregor Körzdörfer, Tobias Würfl, Jens Wetzl, Felix Lugauer, Josef Pfeuffer, Andreas Maier
The purpose of this work is to evaluate methods from deep learning for application to Magnetic Resonance Fingerprinting (MRF). MRF is a recently proposed measurement technique for generating quantitative parameter maps. In MRF a non-steady state signal is generated by a pseudo-random excitation pattern. A comparison of the measured signal in each voxel with the physical model yields quantitative parameter maps. Currently, the comparison is done by matching a dictionary of simulated signals to the acquired signals...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28883200/optimizing-a-query-by-transformation-and-expansion
#8
Katrin Glocker, Alexander Knurr, Julia Dieter, Friederike Dominick, Melanie Forche, Christian Koch, Analie Pascoe Pérez, Benjamin Roth, Frank Ückert
In the biomedical sector not only the amount of information produced and uploaded into the web is enormous, but also the number of sources where these data can be found. Clinicians and researchers spend huge amounts of time on trying to access this information and to filter the most important answers to a given question. As the formulation of these queries is crucial, automated query expansion is an effective tool to optimize a query and receive the best possible results. In this paper we introduce the concept of a workflow for an optimization of queries in the medical and biological sector by using a series of tools for expansion and transformation of the query...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28883199/7-biomedical-informatics-innovative-algorithms-and-signal-processing
#9
(no author information available yet)
No abstract text is available yet for this article.
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28883198/analysis-of-annotated-data-models-for-improving-data-quality
#10
Hannes Ulrich, Ann-Kristin Kock-Schoppenhauer, Björn Andersen, Josef Ingenerf
The public Medical Data Models (MDM) portal with more than 9.000 annotated forms from clinical trials and other sources provides many research opportunities for the medical informatics community. It is mainly used to address the problem of heterogeneity by searching, mediating, reusing, and assessing data models, e. g. the semi-interactive curation of core data records in a special domain. Furthermore, it can be used as a benchmark for evaluating algorithms that create, transform, annotate, and analyse structured patient data...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28883197/an-abstraction-layer-to-facilitate-technical-interoperability-between-medical-records-and-knowledge-modules
#11
Martin Staudigel, Hans-Ulrich Prokosch, Stefan Kraus
Integrating clinical decision support (CDS) functions into an existing hospital information system (HIS) is often a tedious task. This problem area is so pervasive that the Arden Syntax, a widely used standard for CDS functions, assigned a specific designation, the so-called "curly braces problem". It derives from a pair of curly braces used to encapsulate any parameters required for the interactions with a HIS. The traditional approach is to leave the problem area of technical interoperability entirely to the specific institution, possibly entailing a considerable amount of initial programming work...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28883196/from-a-content-delivery-portal-to-a-knowledge-management-system-for-standardized-cancer-documentation
#12
Danijela Schlue, Sebastian Mate, Jörg Haier, Dennis Kadioglu, Hans-Ulrich Prokosch, Bernhard Breil
Heterogeneous tumor documentation and its challenges of interpretation of medical terms lead to problems in analyses of data from clinical and epidemiological cancer registries. The objective of this project was to design, implement and improve a national content delivery portal for oncological terms. Data elements of existing handbooks and documentation sources were analyzed, combined and summarized by medical experts of different comprehensive cancer centers. Informatics experts created a generic data model based on an existing metadata repository...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28883195/mapping-equivalence-of-german-emergency-department-medical-record-concepts-with-snomed-ct-after-implementation-with-hl7-cda
#13
Dominik Brammen, Heike Dewenter, Kai U Heitmann, Volker Thiemann, Raphael W Majeed, Felix Walcher, Rainer Röhrig, Sylvia Thun
INTRODUCTION: The German Emergency Department Medical Record (GEDMR) was created by medical domain experts and healthcare providers providing a dataset as well as a form. The trauma module of GEDMR was syntactically standardized using HL7 CDA and semantically standardized using different terminologies including SNOMED CT, LOINC and proprietary coding systems. This study depicts the mapping accuracy with aforementioned syntactical and semantical standards in general and especially the content coverage of SNOMED CT...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28883194/light-weighted-automatic-import-of-standardized-ontologies-into-the-content-management-system-drupal
#14
Christoph Beger, Alexandr Uciteli, Heinrich Herre
The amount of ontologies, which are utilizable for widespread domains, is growing steadily. BioPortal alone, embraces over 500 published ontologies with nearly 8 million classes. In contrast, the vast informative content of these ontologies is only directly intelligible by experts. To overcome this deficiency it could be possible to represent ontologies as web portals, which does not require knowledge about ontologies and their semantics, but still carries as much information as possible to the end-user. Furthermore, the conception of a complex web portal is a sophisticated process...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28883193/expert2owl-a-methodology-for-pattern-based-ontology-development
#15
Kais Tahar, Jie Xu, Heinrich Herre
The formalization of expert knowledge enables a broad spectrum of applications employing ontologies as underlying technology. These include eLearning, Semantic Web and expert systems. However, the manual construction of such ontologies is time-consuming and thus expensive. Moreover, experts are often unfamiliar with the syntax and semantics of formal ontology languages such as OWL and usually have no experience in developing formal ontologies. To overcome these barriers, we developed a new method and tool, called Expert2OWL that provides efficient features to support the construction of OWL ontologies using GFO (General Formal Ontology) as a top-level ontology...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28883192/6-interoperability-standards-terminologies-classification
#16
(no author information available yet)
No abstract text is available yet for this article.
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28883191/implementation-of-task-tracking-software-for-clinical-it-management
#17
Anne-Maria Purohit, Clemens Brutscheck, Hans-Ulrich Prokosch, Thomas Ganslandt, Martin Schneider
Often in clinical IT departments, many different methods and IT systems are used for task-tracking and project organization. Based on managers' personal preferences and knowledge about project management methods, tools differ from team to team and even from employee to employee. This causes communication problems, especially when tasks need to be done in cooperation with different teams. Monitoring tasks and resources becomes impossible: there are no defined deliverables, which prevents reliable deadlines. Because of these problems, we implemented task-tracking software which is now in use across all seven teams at the University Hospital Erlangen...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28883190/extending-the-query-language-of-a-data-warehouse-for-patient-recruitment
#18
Georg Dietrich, Maximilian Ertl, Georg Fette, Mathias Kaspar, Jonathan Krebs, Daniel Mackenrodt, Stefan Störk, Frank Puppe
Patient recruitment for clinical trials is a laborious task, as many texts have to be screened. Usually, this work is done manually and takes a lot of time. We have developed a system that automates the screening process. Besides standard keyword queries, the query language supports extraction of numbers, time-spans and negations. In a feasibility study for patient recruitment from a stroke unit with 40 patients, we achieved encouraging extraction rates above 95% for numbers and negations and ca. 86% for time spans...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28883189/identification-of-measures-and-indicators-for-the-it-security-of-networked-medical-devices-a-delphi-study
#19
Stefan Leber, Elske Ammenwerth
The networking of medical devices or systems in a hospital network is the foundation for modern medical diagnostics and therapy. This, however, makes possible numerous hazards that could lead to risks for patients, clinical processes or data and information. The aim of the work was to develop a catalogue of measures and indicators for the effective support of the IT risk management process in a health facility. Through a qualitative and quantitative Delphi study among 21 experts, it was possible to identify an initial 51 practice-relevant measures of IT risk management that a hospital should implement...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28883188/antecedents-of-cios-innovation-capability-in-hospitals-results-of-an-empirical-study
#20
Jan-David Liebe, Moritz Esdar, Johannes Thye, Ursula Hübner
CIOs' innovation capability is regarded as a precondition of successful HIT adoption in hospitals. Based on the data of 142 CIOs, this study aimed at identifying antecedents of perceived innovation capability. Eight features describing the status quo of the hospital IT management (e.g. use of IT governance frameworks), four features of the hospital structure (e.g. functional diversification) and four CIO characteristics (e.g. duration of employment) were tested as potential antecedents in an exploratory stepwise regression approach...
2017: Studies in Health Technology and Informatics
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