Publications

217 Publications visible to you, out of a total of 217

Abstract (Expand)

BACKGROUND: Smartphones and related applications are increasingly gaining relevance in the healthcare domain. We previously assessed the demands and preferences of medical students towards an application accompanying them during a course on general practice. The current study aims to elucidate the factors associated with adoption of such a technology. Therefore we provided students with a prototype of an application specifically related to their studies in general practice. METHODS: A total estimation among students participating in a general practice examination at the Leipzig Medical School was conducted in May 2014. Students were asked to answer a structured self-designed questionnaire. Univariable comparisons were made to identify significant differences between those students who reported to have used the application frequently and those who did not. Multivariable binary logistic regression was used to reveal independent predictors of frequent application usage. RESULTS: The response rate was 99.3 % (n = 305/307). The majority (59 %, n = 180/305) were female students. The mean age was 24.5 years and 79.9 % (n = 243/304) owned a smartphone or tablet computer. Regarding the usage of the provided application, 2.3 % (n = 7/303) did not use the app while 68.0 % (n = 206/303) replied to have used it more than five times. Frequent users significantly differed from non-frequent users with regard to being female rather than male, higher mobile device ownership, more frequent exchange about obtaining the course certificate, higher personal interest in new technologies, larger enjoyment of the technology, lower intention to not use smartphone applications in the future, better opinion towards smartphone applications for the profession of a doctor, higher perceived importance of medical applications on the job, higher compatibility of smartphone applications with personal work style, higher perceived relevance of university support and personal benefit of use. Multivariable analysis revealed a set of four variables independently predicting frequent usage: being female, a higher perceived benefit of the supplied application, a higher personal interest in new technologies, and a higher perceived impact of previous experiences on smartphone adoption (Pseudo-R(2) Nagelkerke = 0.245). CONCLUSIONS: Understanding medical students’ adoption of smartphone applications used for educational purposes may provide useful information to guide the implementation process as well as the design of respective applications.

Authors: M. Sandholzer, T. Deutsch, T. Frese, Alfred Winter

Date Published: 1st Dec 2015

Publication Type: Journal article

Abstract

Not specified

Authors: Sebastian Stäubert, Kirsti Meinel, Frank Meineke, Matthias Löbe, Alfred Winter

Date Published: 2015

Publication Type: InProceedings

Abstract (Expand)

The demand for evidence-based health informatics and benchmarking of ’good’ information systems in health care gives an opportunity to continue reporting on recent papers in the German journal GMS Medical Informatics, Biometry and Epidemiology (MIBE) here. The publications in focus deal with a comparison of benchmarking initiatives in German-speaking countries, use of communication standards in telemonitoring scenarios, the estimation of national cancer incidence rates and modifications of parametric tests. Furthermore papers in this issue of MIM are introduced which originally have been presented at the Annual Conference of the German Society of Medical Informatics, Biometry and Epidemiology. They deal as well with evidence and evaluation of ’good’ information systems but also with data harmonization, surveillance in obstetrics, adaptive designs and parametrical testing in statistical analysis, patient registries and signal processing.   The demand for evidence-based health informatics and benchmarking of ’good’ information systems in health care gives an opportunity to continue reporting on recent papers in the German journal GMS Medical Informatics, Biometry and Epidemiology (MIBE) here. The publications in focus deal with a comparison of benchmarking initiatives in German-speaking countries, use of communication standards in telemonitoring scenarios, the estimation of national cancer incidence rates and modifications of parametric tests. Furthermore papers in this issue of MIM are introduced which originally have been presented at the Annual Conference of the German Society of Medical Informatics, Biometry and Epidemiology. They deal as well with evidence and evaluation of ’good’ information systems but also with data harmonization, surveillance in obstetrics, adaptive designs and parametrical testing in statistical analysis, patient registries and signal processing. //  The demand for evidence-based health informatics and benchmarking of ’good’ information systems in health care gives an opportunity to continue reporting on recent papers in the German journal GMS Medical Informatics, Biometry and Epidemiology (MIBE) here. The publications in focus deal with a comparison of benchmarking initiatives in German-speaking countries, use of communication standards in telemonitoring scenarios, the estimation of national cancer incidence rates and modifications of parametric tests. Furthermore papers in this issue of MIM are introduced which originally have been presented at the Annual Conference of the German Society of Medical Informatics, Biometry and Epidemiology. They deal as well with evidence and evaluation of ’good’ information systems but also with data harmonization, surveillance in obstetrics, adaptive designs and parametrical testing in statistical analysis, patient registries and signal processing.

Authors: Alfred Winter, R-D Hilgers, R. Hofestädt, Ursula Hübner, Petra Knaup-Gregori, C. Ose, C. Schmoor, A. Timmer, D. Wege

Date Published: 2015

Publication Type: Journal article

Abstract (Expand)

Einleitung: An der Universität Leipzig wird die Studienrichtung Medizinische Informatik als Schwerpunkt im Studiengang Informatik in Kooperation von Medizinischer Fakultät und der Fakultät für Mathematik und Informatik angeboten. Den Studierenden wird in diesem interdisziplinären[zum vollständigen Text gelangen Sie über die oben angegebene URL]

Authors: Sebastian Stäubert, Matthias Löbe, Franziska Jahn, Michael Schaaf, Alfred Winter

Date Published: 2015

Publication Type: Misc

Abstract

Journal of Clinical Bioinformatics 2015, 5:S6. doi:10.1186/2043-9113-5-S1-S6

Authors: Christian R. Bauer, Thomas Ganslandt, Benjamin Baum, Jan Christoph, Igor Engel, Matthias Löbe, Sebastian Mate, Hans-Ulrich Prokosch, Ulrich Sax, Sebastian Stäubert, Alfred Winter

Date Published: 2015

Publication Type: Journal article

Abstract

Not specified

Authors: Christian Kücherer, Manuel Jung, Franziska Jahn, Michael Schaaf, Kais Tahar, Barbara Paech, Alfred Winter

Date Published: 2015

Publication Type: InCollection

Abstract (Expand)

Die Methode des Benchmarkings wird mittlerweile in vielen Krankenhäusern als Instrument des strategischen Informationsmanagements genutzt. Während der letzten Jahre bildeten sich im deutschsprachigen Raum mehrere Benchmarkingcluster, innerhalb derer sich Krankenhäuser bezüglich der Kosten, Leistung und Effizienz ihrer Informationssysteme und ihres Informationsmanagements vergleichen und positionieren. Um Benchmarkingcluster hinsichtlich ihrer Merkmale unterscheiden zu können und eine Entscheidungsunterstützung für die Auswahl eines geeigneten Benchmarkingclusters zu schaffen, wird ein Klassifikationsschema entwickelt. Das Klassifikationsschema betrachtet sowohl die Rahmenbedingungen der Benchmarkingcluster sowie deren inhaltliche Ausrichtung. Es wird auf sieben im deutschsprachigen Raum und in den letzten Jahren aktive Benchmarkingcluster angewandt, um diese zu beschreiben. Derzeit überwiegt das Performance Benchmarking, wobei sich die Benchmarkingcluster hinsichtlich der Anzahl der Benchmarkingpartner und der Kooperationsformen unterscheiden. Auch werden unterschiedliche Benchmarkingobjekte betrachtet. Die Untersuchung von Kosten und Qualität von Anwendungssystemen, physischen Datenverarbeitungssystemen, Organisationsstrukturen des Informationsmanagements und IT-Service-Prozessen dominiert. Untersuchungen zum strategischen Informationsmanagement, taktischen Informationsmanagement, der IT Governance und der Qualität von Daten und datenverarbeitenden Prozessen können noch ausgebaut werden. Auf Basis des Klassifikationsschemas und der Analyse der Benchmarkingcluster werden schließlich allgemeine Empfehlungen für das Benchmarking von Krankenhausinformationssystemen abgeleitet.

Authors: Franziska Jahn, Klaus Baltschukat, Uwe Buddrus, Uwe Günther, Ansgar Kutscha, Jan-David Liebe, Volker Lowitsch, Helmut Schlegel, Alfred Winter

Date Published: 2015

Publication Type: Journal article

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