Martin Sedlmayr

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AIMS Recently, a permanently implantable wireless system, designed to monitor and manage pulmonary artery (PA) pressures remotely, demonstrated significant reductions in heart failure (HF) hospitalizations in high-risk symptomatic patients, regardless of ejection fraction. The objectives of this study were to simulate the estimated clinical and economic(More)
OBJECTIVES The secondary use of clinical data provides large opportunities for clinical and translational research as well as quality assurance projects. For such purposes, it is necessary to provide a flexible and scalable infrastructure that is compliant with privacy requirements. The major goals of the cloud4health project are to define such an(More)
BACKGROUND Cloud computing is a recent and fast growing area of development in healthcare. Ubiquitous, on-demand access to virtually endless resources in combination with a pay-per-use model allow for new ways of developing, delivering and using services. Cloud computing is often used in an "OMICS-context", e.g. for computing in genomics, proteomics and(More)
a Interdisciplinary Centre for Health Technology Assessment and Public Health, University of Erlangen-Nuremberg, Erlangen, Germany b Department of Computer Science 7, Computer Networks and Communication Systems, University of Erlangen-Nuremberg, Erlangen, Germany c Siemens AG, Healthcare, Erlangen, Germany d National Cluster of Excellence, Medical(More)
Although constraints are useful to express semantic restrictions on object structures, Java provides little support for their implementation and evaluation. We argue that constraints should be specified explicitly, and propose a set of design patterns for the representation of constraints on JavaBeans. Object-oriented reflection is used to evaluate these(More)
Decision-making in anesthesia requires the integration of information from various clinical data sources, such as the patient, the laboratory, the surgery and the clinical personnel. However, information management and processing is aggravated by the highly heterogeneous and distributed nature of the current clinical data and information repositories.(More)
Prospective Health Technology Assessment (ProHTA) is a new and innovative approach to analyze and assess new technologies, methods and procedures in health care. Simulation processes are used to model innovations before the cost-intensive design and development phase. Thus effects on patient care, the health care system as well as health economics aspects(More)
Selected abstracts presented at the 22nd meeting of the European Society for Computing and Technology in Anaesthesia and Intensive Care (ESCTAIC): Erlangen, Germany, 12th–15th October, 2011 C. Jeleazcov • A. van Dusseldorp • L. Krummreich • G. M. Gurman • S. E. Rees • M. Sedlmayr Springer Science+Business Media, LLC 2012 1 ProHTA: Prospective health(More)
This article is about a new project that combines clinical data intelligence and smart data. It provides an introduction to the “Klinische Datenintelligenz” (KDI) project which is founded by the Federal Ministry for Economic Affairs and Energy (BMWi); we transfer research and development results (R&D) of the analysis of data which are generated in the(More)
Hospital readmissions of patients put a high burden not only on the health care system, but also on the patients since complications after discharge generally lead to additional burdens. Estimating the risk of readmission after discharge from inpatient care has been the subject of several publications in recent years. In those publications the authors(More)