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Studies in Health Technology and Informatics

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https://www.readbyqxmd.com/read/30147081/user-evaluation-indicates-high-quality-of-the-surveillance-outbreak-response-management-and-analysis-system-sormas-after-field-deployment-in-nigeria-in-2015-and-2018
#1
Daniel Tom-Aba, Salla E Toikkanen, Stephan Glöckner, Olawunmi Adeoye, Sabine Mall, Cindy Fähnrich, Kerstin Denecke, Justus Benzler, Göran Kirchner, Norbert Schwarz, Gabriele Poggensee, Bernard C Silenou, Celestine A Ameh, Patrick Nguku, Ojo Olubunmi, Chikwe Ihekweazu, Gérard Krause
During the West African Ebola virus disease outbreak in 2014-15, health agencies had severe challenges with case notification and contact tracing. To overcome these, we developed the Surveillance, Outbreak Response Management and Analysis System (SORMAS). The objective of this study was to measure perceived quality of SORMAS and its change over time. We ran a 4-week-pilot and 8-week-implementation of SORMAS among hospital informants in Kano state, Nigeria in 2015 and 2018 respectively. We carried out surveys after the pilot and implementation asking about usefulness and acceptability...
2018: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/30147080/17-surveillance-screening-and-registries
#2
(no author information available yet)
No abstract text is available yet for this article.
2018: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/30147079/xml-skeleton-definitions-for-human-posture-assessments
#3
Christian Lins, Sebastian Fudickar, Andreas Hein
In this paper, we show how the XML dialect SKAML (Skeletal Assessment Markup Language) can be used to use data from one or more Motion Capture systems to perform human posture assessments with multiple assessment methods. We show an implementation example using an inertial measuring suit and both OWAS and REBA assessment methods. SKAML makes it possible to implement classifiers for a Motion Capture system once and adapt the classifier by-configuration to various ergonomics assessment methods. We anticipate our work as help for researchers and developers that implement new assessment methods or motion capture systems...
2018: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/30147078/16-standards-classifications-terminologies
#4
(no author information available yet)
No abstract text is available yet for this article.
2018: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/30147077/using-rna-seq-data-for-the-detection-of-a-panel-of-clinically-relevant-mutations
#5
Alexander Wolff, Júlia Perera-Bel, Hans-Ulrich Schildhaus, Kia Homayounfar, Bawarjan Schatlo, Annalen Bleckmann, Tim Beißbarth
Somatic single nucleotide variants (SNVs) are genomic events with increasing implications in cancer treatment. The clinical standard for SNVs detection is whole genome/exome sequencing (WGS/WES) in matched tumor-normal samples. Yet, this is a very costly approach both economically and biologically and very often only tumor samples are sequenced. On the other hand, RNA sequencing (RNA-Seq) is the most popular technology to study gene expression, and has also the potential for a cost-effective identification of SNVs as an alternative to tumor-only WES...
2018: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/30147076/15-sequencing-and-high-dimensional-data
#6
(no author information available yet)
No abstract text is available yet for this article.
2018: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/30147075/osse-goes-fair-implementation-of-the-fair-data-principles-for-an-open-source-registry-for-rare-diseases
#7
Jannik Schaaf, Dennis Kadioglu, Jens Goebel, Christian-Alexander Behrendt, Marco Roos, David van Enckevort, Frank Ückert, Fatlume Sadiku, Thomas O F Wagner, Holger Storf
The Open Source Registry for Rare Diseases (OSSE) provides a concept and a software for the management of registries for patients with rare diseases. A disease is defined as rare if less than 5 out of 10,000 people are affected. Up to date, approximately 6,000 rare diseases are catalogued. Networking and data exchange for research purposes remains challenging due to the paucity of interoperability and due to the fact that small data stocks are stored locally. The so called "Findable, Accessible, Interoperable, Reusable" (FAIR) Data Principles have been developed to improve research in the field of rare diseases...
2018: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/30147074/14-research-data-management-and-reproducible-research
#8
(no author information available yet)
No abstract text is available yet for this article.
2018: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/30147073/what-are-inter-professional-ehealth-competencies
#9
Johannes Thye, Toria Shaw, Jens Hüsers, Moritz Esdar, Marion Ball, Birgit Babitsch, Ursula Hübner
As health IT supports processes along the entire patient trajectory and involves different types of professional groups, eHealth is inter-professional by nature. The aim of this study, therefore, is to investigate which competencies are at the intersection of the individual groups of health professionals. 718 international experts provided relevance ratings of eHealth competencies for different professional roles in an online survey. Communication and leadership proved to be important competencies across all professions, not only for executives...
2018: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/30147072/building-a-community-of-inquiry-within-an-online-based-health-informatics-program-instructional-design-and-lessons-learned
#10
Elske Ammenwerth, Werner O Hackl, Michael Felderer, Clemens Sauerwein, Alexander Hörbst
The rapid medical and technological progress and the resulting need for life-long learning lead to the proliferation of online-based programs in health informatics for health care and health informatics professionals. Effective learning in these online-based programs demands close interaction and cooperation between students and instructors. In such cooperative online-based programs, special emphasis is thus put on fostering a community of inquiry between all participants. The online-based master program on Health Information Management at the University UMIT is firmly based on the constructivist theory of situated learning in such a community of inquiry...
2018: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/30147071/smart-glasses-in-nursing-situation-change-and-further-usages-exemplified-on-a-wound-care-application
#11
Hanna Wüller, Jonathan Behrens, Kai Klinker, Manuel Wiesche, Helmut Krcmar, Hartmut Remmers
Smart Glasses are a promising technology that can be leveraged to improve flexible service processes. Especially in the field of nursing where practitioners are facing complex tasks and challenges. Introducing such pervasive computing devices in service processes may have both positive and negative consequences. This leads us to the following research questions: How does the usage of the Smart Glass applications change the caring situation? Which ideas for future usage of Smart Glasses do nurses have? To answer these questions we followed a design science research approach to design a prototype for support of wound care management in nursing...
2018: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/30147070/13-nursing-and-interprofessional-applications-and-teaching
#12
(no author information available yet)
No abstract text is available yet for this article.
2018: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/30147069/visualization-and-analysis-of-mirnas-implicated-in-amyotrophic-lateral-sclerosis-within-gene-regulatory-pathways
#13
Hamid Hamzeiy, Rabia Suluyayla, Christoph Brinkrolf, Sebastian Jan Janowski, Ralf Hofestädt, Jens Allmer
MicroRNAs (miRNAs), approximately 22 nucleotides long, post-transcriptionally active gene expression regulators, play active roles in modulating cellular processes. Gene regulation and miRNA regulation are intertwined and the main aim of this study is to facilitate the analysis of miRNAs within gene regulatory pathways. VANESA enables the reconstruction of biological pathways and supports visualization and simulation. To support integrative miRNA and gene pathway analyses, a custom database of experimentally proven miRNAs, integrating data from miRBase, TarBase and miRTarBase, was added to DAWIS-M...
2018: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/30147068/12-networks-and-systems-medicine
#14
(no author information available yet)
No abstract text is available yet for this article.
2018: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/30147067/understanding-the-characteristics-of-frequent-users-of-emergency-departments-what-role-do-medical-conditions-play
#15
Jens Rauch, Jens Hüsers, Birgit Babitsch, Ursula Hübner
Frequent users of emergency departments (ED) pose a significant challenge to hospital emergency services. Despite a wealth of studies in this field, it is hardly understood, what medical conditions lead to frequent attendance. We examine (1) what ambulatory care sensitive conditions (ACSC) are linked to frequent use, (2) how frequent users can be clustered into subgroups with respect to their diagnoses, acuity and admittance, and (3) whether frequent use is related to higher acuity or admission rate. We identified several ACSC that highly increase the risk for heavy ED use, extracted four major diagnose subgroups and found no significant effect neither for acuity nor admission rate...
2018: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/30147066/prediction-of-readmissions-in-the-german-drg-system-based-on-%C3%A2-21-datasets
#16
Alphons Eggerth, Dieter Hayn, Sai Veeranki, Jörg Stieg, Günter Schreier
Hospital readmissions receive increasing interest, since they are burdensome for patients and costly for healthcare providers. For the calculation of reimbursement fees, in Germany there is the German-Diagnosis Related Groups (G-DRG) system. For every hospital stay, data are collected as a so-called "case", as the basis for the subsequent reimbursement calculations ("§21 dataset"). Merging rules lead to a loss of information in §21 datasets. We applied machine learning to §21 datasets and evaluated the influence of case merging for the resulting accuracy of readmission risk prediction...
2018: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/30147065/de-identification-of-german-medical-admission-notes
#17
Phillip Richter-Pechanski, Stefan Riezler, Christoph Dieterich
Medical texts are a vast resource for medical and computational research. In contrast to newswire or wikipedia texts medical texts need to be de-identified before making them accessible to a wider NLP research community. We created a prototype for German medical text de-identification and named entity recognition using a three-step approach. First, we used well known rule-based models based on regular expressions and gazetteers, second we used a spelling variant detector based on Levenshtein distance, exploiting the fact that the medical texts contain semi-structured headers including sensible personal data, and third we trained a named entity recognition model on out of domain data to add statistical capabilities to our prototype...
2018: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/30147064/finding-needles-in-the-haystack-identifying-patients-with-rare-subtype-of-multiple-myeloma-supported-by-a-data-warehouse-and-information-extraction
#18
Jonathan Krebs, Max Bittrich, Georg Dietrich, Maximilian Ertl, Georg Fette, Mathias Kaspar, Leon Liman, Hermann Einsele, Frank Puppe, Stefan Knop
Finding patient cases with extremely rare pathologies is a laborious task. To decrease time spent on manually searching through thousands of discharge letters and reports, a data warehouse with a fast fulltext search index was queried. Our use case is to find "macrofocal myeloma", i.e. Multiple Myeloma patients with few large lesions. We guessed the number of those patients in the University Hospital Würzburg at about 20. Most criteria were available in the data warehouse in an unstructured form requiring information extraction...
2018: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/30147063/modeling-activity-tracker-data-using-deep-boltzmann-machines
#19
Martin Treppner, Stefan Lenz, Harald Binder, Daniela Zöller
Commercial activity trackers are set to become an essential tool in health research, due to increasing availability in the general population. The corresponding vast amounts of mostly unlabeled data pose a challenge to statistical modeling approaches. To investigate the feasibility of deep learning approaches for unsupervised learning with such data, we examine weekly usage patterns of Fitbit activity trackers with deep Boltzmann machines (DBMs). This method is particularly suitable for modeling complex joint distributions via latent variables...
2018: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/30147062/11-machine-learning
#20
(no author information available yet)
No abstract text is available yet for this article.
2018: Studies in Health Technology and Informatics
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