Literature DB >> 28289778

[Registries for rare diseases : OSSE - An open-source framework for technical implementation].

Holger Storf1, Jannik Schaaf2, Dennis Kadioglu3, Jens Göbel2, Thomas O F Wagner4, Frank Ückert5.   

Abstract

Meager amounts of data stored locally, a small number of experts, and a broad spectrum of technological solutions incompatible with each other characterize the landscape of registries for rare diseases in Germany. Hence, the free software Open Source Registry for Rare Diseases (OSSE) was created to unify and streamline the process of establishing specific rare disease patient registries. The data to be collected is specified based on metadata descriptions within the registry framework's so-called metadata repository (MDR), which was developed according to the ISO/IEC 11179 standard. The use of a central MDR allows for sharing the same data elements across any number of registries, thus providing a technical prerequisite for making data comparable and mergeable between registries and promoting interoperability.With OSSE, the foundation is laid to operate linked patient registries while respecting strong data protection regulations. Using the federated search feature, data for clinical studies can be identified across registries. Data integrity, however, remains intact since no actual data leaves the premises without the owner's consent. Additionally, registry solutions other than OSSE can participate via the OSSE bridgehead, which acts as a translator between OSSE registry networks and non-OSSE registries. The pseudonymization service Mainzelliste adds further data protection.Currently, more than 10 installations are under construction in clinical environments (including university hospitals in Frankfurt, Hamburg, Freiburg and Münster). The feedback given by the users will influence further development of OSSE. As an example, the installation process of the registry for undiagnosed patients at University Hospital Frankfurt is described in more detail.

Entities:  

Keywords:  Interoperability; Metadata; Open source; Rare diseases; Registries

Mesh:

Year:  2017        PMID: 28289778     DOI: 10.1007/s00103-017-2536-7

Source DB:  PubMed          Journal:  Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz        ISSN: 1436-9990            Impact factor:   1.513


  6 in total

1.  Evaluation of a clinical decision support system for rare diseases: a qualitative study.

Authors:  Jannik Schaaf; Martin Sedlmayr; Brita Sedlmayr; Hans-Ulrich Prokosch; Holger Storf
Journal:  BMC Med Inform Decis Mak       Date:  2021-02-18       Impact factor: 2.796

2.  How to design a registry for undiagnosed patients in the framework of rare disease diagnosis: suggestions on software, data set and coding system.

Authors:  Alexandra Berger; Anne-Kathrin Rustemeier; Jens Göbel; Dennis Kadioglu; Vanessa Britz; Katharina Schubert; Klaus Mohnike; Holger Storf; Thomas O F Wagner
Journal:  Orphanet J Rare Dis       Date:  2021-05-01       Impact factor: 4.303

3.  An Open-Source, Standard-Compliant, and Mobile Electronic Data Capture System for Medical Research (OpenEDC): Design and Evaluation Study.

Authors:  Leonard Greulich; Stefan Hegselmann; Martin Dugas
Journal:  JMIR Med Inform       Date:  2021-11-19

4.  MIRACUM: Medical Informatics in Research and Care in University Medicine.

Authors:  Hans-Ulrich Prokosch; Till Acker; Johannes Bernarding; Harald Binder; Martin Boeker; Melanie Boerries; Philipp Daumke; Thomas Ganslandt; Jürgen Hesser; Gunther Höning; Michael Neumaier; Kurt Marquardt; Harald Renz; Hermann-Josef Rothkötter; Carmen Schade-Brittinger; Paul Schmücker; Jürgen Schüttler; Martin Sedlmayr; Hubert Serve; Keywan Sohrabi; Holger Storf
Journal:  Methods Inf Med       Date:  2018-07-17       Impact factor: 2.176

5.  Pan-European Data Harmonization for Biobanks in ADOPT BBMRI-ERIC.

Authors:  Sebastian Mate; Marvin Kampf; Wolfgang Rödle; Stefan Kraus; Rumyana Proynova; Kaisa Silander; Lars Ebert; Martin Lablans; Christina Schüttler; Christian Knell; Niina Eklund; Michael Hummel; Petr Holub; Hans-Ulrich Prokosch
Journal:  Appl Clin Inform       Date:  2019-09-11       Impact factor: 2.342

6.  Interviews with experts in rare diseases for the development of clinical decision support system software - a qualitative study.

Authors:  Jannik Schaaf; Hans-Ulrich Prokosch; Martin Boeker; Johanna Schaefer; Jessica Vasseur; Holger Storf; Martin Sedlmayr
Journal:  BMC Med Inform Decis Mak       Date:  2020-09-16       Impact factor: 2.796

  6 in total

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