Monika Pobiruchin

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A variety of substances contained in cosmetic products can lead to allergic reactions for certain individuals. The names of such substances are predominantly printed onto a product in small-sized expert language. For this reason, consumers often have difficulties to assess whether some of the ingredients might be harmful for them. Consequently, patients are(More)
Adherence is an important factor for the outcome of medical therapies. Several reminder applications to raise adherence have been developed, e.g., smart phone apps. Literature suggests that such solutions seem to be inefficient. In this paper, we discuss current research in the field of ultra-mobile devices, i.e., smart watches. In addition, we investigate(More)
Hospital cancer registries can be a reliable source for comparative effectiveness research. We used an expanded Markov model to estimate breast cancer prevalence for a distinct region in Germany. Thereby, transition probabilities were computed with patient information gained directly from the dataset. A first validation was executed by comparing the results(More)
Even long before it was published, many people regarded Google Glass as a Swiss army knife for nearly every task. There are some fields of application in which the best known wearable device could simplify daily life, such as car navigation or reading recipes. But does this also apply for medicine and health care? This paper will at first explain what(More)
BACKGROUND Today, runners use wearable technology such as global positioning system (GPS)-enabled sport watches to track and optimize their training activities, for example, when participating in a road race event. For this purpose, an increasing amount of low-priced, consumer-oriented wearable devices are available. However, the variety of such devices is(More)
UNLABELLED There has been legitimate criticism with regard to the quality and the transparency of health economic modelling studies. For that reason, the aim of the PROSIT Disease Modelling Community is to develop transparent open source health economic disease models for diabetes mellitus. RESULTS Markov type models were developed in the open source(More)
Medication adherence is an important factor for the outcome of medical therapies. To support high adherence levels, smartwatches can be used to assist the patient. However, a successful integration of such devices into clinicians' or general practitioners' information systems requires the use of standards. In this paper, a medication management system(More)
OBJECTIVES Today, hospitals and other health care-related institutions are accumulating a growing bulk of real world clinical data. Such data offer new possibilities for the generation of disease models for the health economic evaluation. In this article, we propose a new approach to leverage cancer registry data for the development of Markov models.(More)
Records of female breast cancer patients were selected from a clinical cancer registry and separated into three cohorts according to HER2-status (human epidermal growth factor receptor 2) and treatment with or without Trastuzumab (a humanized monoclonal antibody). Propensity score matching was used to balance the cohorts. Afterwards, documented information(More)