Niels Tegtbauer's research while affiliated with Goethe-Universität Frankfurt am Main and other places

Publications (9)

Preprint
Full-text available
Background In rare diseases, only a low number of regionally distributed experts are available in medical care. The health service platform for rare diseases (www.se-atlas.de) provides a search for health care providers and patient organisations in Germany for specific rare diseases and presents the results to patients or physicians. The objective...
Article
Full-text available
Zusammenfassung Eine Erkrankung zählt in der Europäischen Union zu den Seltenen Erkrankungen (SE), wenn diese nicht mehr als 5 von 10.000 Menschen betrifft. Derzeit existiert mit mehr als 6000 SE eine sowohl große als auch heterogene Menge an unterschiedlichen Krankheitsbilder, die in ihrer Symptomatik komplex, vielschichtig und damit im medizinisc...
Chapter
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The diagnosis of patients with rare diseases is often delayed. A Clinical Decision Support System using similarity analysis of patient-based data may have the potential to support the diagnosis of patients with rare diseases. This qualitative study has the objective to investigate how the result of a patient similarity analysis should be presented...
Article
Full-text available
The diagnosis of patients with rare diseases is often delayed. A Clinical Decision Support System using similarity analysis of patient-based data may have the potential to support the diagnosis of patients with rare diseases. This qualitative study has the objective to investigate how the result of a patient similarity analysis should be presented...
Article
se-atlas - the health service information platform for rare diseases - is part of the German National Action Plan for People with Rare Diseases. The website www.se-atlas.de provides an overview of health care providers and support groups focusing on rare diseases in Germany. Since the start of se-atlas in 2013, several strategies are being develope...
Article
Full-text available
In Germany, many highly specialized facilities for the diagnosis and treatment of rare diseases exist. However it is quite difficult for patients to find the required specialists because of the fact that information on the internet is scattered and of variable quality. The German Federal Ministry of Health initiated several activities to address th...

Citations

... Currently existing CS systems are placed in other fields of human medicine [10]. Regardless of the CS character, disease-specific apps can be found [35][36][37][38][39][40][41], apps and websites that refer people to health care providers [42,43], apps for sharing experiences and networking [44,45], a symptom checker [46], information and support apps for RD-affected persons [47,48]. Some of these apps are available in English only. ...
... In the past, we have conducted several studies on the requirements elicitation of DISERDIS [6,[10][11][12]. In this paper, we summarize the results of these studies and derive concrete requirements on this basis. ...
... For instance, a person affected by a RD can enter the name of the disease in a exible search and subsequently receive all results on existing HCPs, including specialized rare diseases centres (RDCs) and patient organisations in Germany. Furthermore, se-atlas displays information on research networks such as the European Reference Networks (ERNs) and medical societies [8,11]. The search for HCPs and patient organisations is the central function of se-atlas. ...
... The 2017 interim report on the implementation of the National Action Plan for People with Rare Diseases (5) will also include in the Information Management field of action the goal of improving the quality of information and access to information for patients and their families and also for physicians, therapists and nursing staff. For example, since 2015, the online platform "se-atlas" (6) which was financially supported by the German Federal Ministry of Health, has been available in order to make it easier to locate specialist treatment centres for those affected in Germany (7). Information about diseases* was also transferred to Orphanet (5,8). ...