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Erschienen in: Orphanet Journal of Rare Diseases 1/2014

Open Access 01.12.2014 | Poster presentation

Se-atlas-cartographic representation of experts for rare diseases

verfasst von: Holger Storf, Tobias Hartz, Wulf Pfeiffer, Kathrin Rommel, Mareike Derks, Elisabeth Nyoungui, Joerg Schmidtke, Holm Graessner, Mirjam Knoell, Thomas Wagner, Frank Ueckert

Erschienen in: Orphanet Journal of Rare Diseases | Sonderheft 1/2014

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Motivation

Numerous highly specialized facilities for the diagnosis and treatment of rare diseases exist in Germany, but it is challenging to present them adequately. Searching in the internet is a common way for patients to find medical information or appropriate clinical experts [1]. Existing services and databases such as Orphanet already offer good contact information to expert centers. A core challenge is to keep the data up to date and to ensure the expertise of the listed centers.

Aim of the project

The project’s aim is to visualize and present the known expert centers in an innovative way and to help completing existing data bases. The representation is realized in an interactive map and in a list format. Stakeholders of the information system are patients and their relatives, doctors, non-medical personnel and the general public. The basis for the underlying data set of the eligible facilities is provided by the project partner Orphanet Germany. The project’s primary goals are to consistently increase the data set and to ensure its quality.

Conception

In se-atlas general information about the expert centers like name, address, special consultation hours, etc. are stored. To find the relevant centers, they are tagged additionally with the treated diagnoses (by using the Orphanet classification and ICD-10). The decision which centers will be listed or not will be made by an editorial team based on the so-called NAMSE criteria proposed in the German national plan by the Joint Declaration and Agreement on the Establishment of the National Action League for People with Rare Diseases (NAMSE). Both, centers for rare diseases and patient organizations will be allowed to grant affirmations of quality. The conception allows for individual views of the cartographic visualization to be included on other web pages, e.g. those of patient organizations.

Realization and test

At present, the system is implemented in a prototypical way and accessible for registered persons only. The core functions are realized and the Orphanet classification is included. The next steps are to include the Orphanet data base of expert centres and contact the centers for rare diseases for including them.

Schedule

Se-atlas started in June 2013 and is scheduled to run for two years. The public release of the official version is planned for January 2015.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://​creativecommons.​org/​licenses/​by/​4.​0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.
Literatur
1.
Zurück zum Zitat McMullan M: Patients using the Internet to obtain health information: How this affects the patient–health professional relationship. Patient Education and Counseling. 2006, 63/1–2: 24-28.CrossRef McMullan M: Patients using the Internet to obtain health information: How this affects the patient–health professional relationship. Patient Education and Counseling. 2006, 63/1–2: 24-28.CrossRef
Metadaten
Titel
Se-atlas-cartographic representation of experts for rare diseases
verfasst von
Holger Storf
Tobias Hartz
Wulf Pfeiffer
Kathrin Rommel
Mareike Derks
Elisabeth Nyoungui
Joerg Schmidtke
Holm Graessner
Mirjam Knoell
Thomas Wagner
Frank Ueckert
Publikationsdatum
01.12.2014
Verlag
BioMed Central
Erschienen in
Orphanet Journal of Rare Diseases / Ausgabe Sonderheft 1/2014
Elektronische ISSN: 1750-1172
DOI
https://doi.org/10.1186/1750-1172-9-S1-P1

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