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Publications (4)1.08 Total impact

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    ABSTRACT: Health care network eHealth.Braunschweig has been started in the South-East region of Lower Saxony in Germany in 2009. It composes major health care players, participants from research institutions and important local industry partners. The objective of this paper is firstly to describe the relevant regional characteristics and distinctions of the eHealth.Braunschweig health care network and to inform about the goals and structure of eHealth.Braunschweig; secondly to picture and discuss the main concepts and domain fields which are addressed in the health care network; and finally to discuss the architectural challenges of eHealth.Braunschweig regarding the addressed domain fields and defined requirements. Based on respective literature and former conducted projects we discuss the project structure and goals of eHealth.Braunschweig, depict major domain fields and requirements gained in workshops with participants and discuss the architectural challenges as well as the architectural approach of eHealth.Braunschweig network. The regional healthcare network eHealth.Braunschweig has been established in April 2009. Since then the network has grown constantly and a sufficient progress in network activities has been achieved. The main domain fields have been specified in different workshops with network participants and an architectural realization approach for the transinstitutional information system architecture in the healthcare network has been developed. However, the effects on quality of information processing and quality of patient care have not been proved yet. Systematic evaluation studies have to be done in future in order to investigate the impact of information and communication technology on the quality of information processing and the quality of patient care. In general, the aspects described in this paper are expected to contribute to a systematic approach for the establishment of regional health care networks with lasting and sustainable effects on patient-centered health care in a regional context.
    Methods of Information in Medicine 09/2011; 51(3):199-209. · 1.08 Impact Factor
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    BMC proceedings 01/2011; 5:1-1.
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    ABSTRACT: Numerous eHealth projects and efforts to establish inter-organizational communication and to build up regional health care networks could be observed in the last ten years. Nevertheless the success of such efforts is profoundly different. The aim of this paper is to introduce the lately started regional initiative eHealth.Braunschweig compounding of the major health care players (hospitals, physician offices, nursing services and nursing homes) in the region of Braunschweig, participants from research institutions and industry. We propose in this paper the main goals of the regional initiative eHealth.Braunschweig, its constitution and major approaches. Based on respective literature and our former projects as well as experiences in this field we discuss our vision of a patient-oriented cooperative health care by depicting regional distinctions, identifying the major domain fields in this context and discussing the architectural challenges for the regional health care network eHealth.Braunschweig. In our view this work can be considered as a systematical approach to the establishment of regional health care networks with lasting and sustainable effects on patient-centered health care in a region.
    Studies in health technology and informatics 01/2010; 160(Pt 1):386-90.
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    ABSTRACT: Monitoring elderly or disabled people in smart home environments is a major area of research because it allows for controlling chronic diseases and promises cost reduction. Context recognition and in particular activity recognition is of key importance as it facilitates the interpretation of data from medical monitoring devices. In our study with five elderly or disabled people we used data from multi-sensor wearable devices to generate intra- and interindividual machine-learned classifier models to determine activity patterns. Furthermore we computed the relative relevance of each parameter measured, and assessed the acceptance of computerized questionnaires in computer- illiterate people. The mean classification accuracy was 91.4% for the intraindividual classifiers and 53.7% for the interindividual ones. The most relevant parameters for activity classifications were those derived from accelerometric data, the least relevant one was galvanic skin response. Both the sensor device and the computerized questionnaires were well-received by the study participants. Individually-trained machine-learned classifiers used on data from a wearable device are an adequate means to determine context in elderly or disabled people.
    21st International Conference on Advanced Information Networking and Applications (AINA 2007), Workshops Proceedings, Volume 2, May 21-23, 2007, Niagara Falls, Canada; 01/2007