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MIRACUM: Medical Informatics in Research and Care in University Medicine: A Large Data Sharing Network to Enhance Translational Research and Medical Care

Introduction: This article is part of the Focus Theme of Methods of Information in Medicine on the German Medical Informatics Initiative. Similar to other large international data sharing networks (e.g. OHDSI, PCORnet, eMerge, RD-Connect) MIRACUM is a consortium of academic and hospital partners as...

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Autores principales: Prokosch, Hans-Ulrich, Acker, Till, Bernarding, Johannes, Binder, Harald, Boeker, Martin, Boerries, Melanie, Daumke, Philipp, Ganslandt, Thomas, Hesser, Jürgen, Höning, Gunther, Neumaier, Michael, Marquardt, Kurt, Renz, Harald, Rothkötter, Hermann-Josef, Schade-Brittinger, Carmen, Schmücker, Paul, Schüttler, Jürgen, Sedlmayr, Martin, Serve, Hubert, Sohrabi, Keywan, Storf, Holger
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Schattauer GmbH 2018
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6178200/
https://www.ncbi.nlm.nih.gov/pubmed/30016814
http://dx.doi.org/10.3414/ME17-02-0025
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author Prokosch, Hans-Ulrich
Acker, Till
Bernarding, Johannes
Binder, Harald
Boeker, Martin
Boerries, Melanie
Daumke, Philipp
Ganslandt, Thomas
Hesser, Jürgen
Höning, Gunther
Neumaier, Michael
Marquardt, Kurt
Renz, Harald
Rothkötter, Hermann-Josef
Schade-Brittinger, Carmen
Schmücker, Paul
Schüttler, Jürgen
Sedlmayr, Martin
Serve, Hubert
Sohrabi, Keywan
Storf, Holger
author_facet Prokosch, Hans-Ulrich
Acker, Till
Bernarding, Johannes
Binder, Harald
Boeker, Martin
Boerries, Melanie
Daumke, Philipp
Ganslandt, Thomas
Hesser, Jürgen
Höning, Gunther
Neumaier, Michael
Marquardt, Kurt
Renz, Harald
Rothkötter, Hermann-Josef
Schade-Brittinger, Carmen
Schmücker, Paul
Schüttler, Jürgen
Sedlmayr, Martin
Serve, Hubert
Sohrabi, Keywan
Storf, Holger
author_sort Prokosch, Hans-Ulrich
collection PubMed
description Introduction: This article is part of the Focus Theme of Methods of Information in Medicine on the German Medical Informatics Initiative. Similar to other large international data sharing networks (e.g. OHDSI, PCORnet, eMerge, RD-Connect) MIRACUM is a consortium of academic and hospital partners as well as one industrial partner in eight German cities which have joined forces to create interoperable data integration centres (DIC) and make data within those DIC available for innovative new IT solutions in patient care and medical research. Objectives: Sharing data shall be supported by common interoperable tools and services, in order to leverage the power of such data for biomedical discovery and moving towards a learning health system. This paper aims at illustrating the major building blocks and concepts which MIRACUM will apply to achieve this goal. Governance and Policies: Besides establishing an efficient governance structure within the MIRACUM consortium (based on the steering board, a central administrative office, the general MIRACUM assembly, six working groups and the international scientific advisory board), defining DIC governance rules and data sharing policies, as well as establishing (at each MIRACUM DIC site, but also for MIRACUM in total) use and access committees are major building blocks for the success of such an endeavor. Architectural Framework and Methodology: The MIRACUM DIC architecture builds on a comprehensive ecosystem of reusable open source tools (MIRACOLIX), which are linkable and interoperable amongst each other, but also with the existing software environment of the MIRACUM hospitals. Efficient data protection measures, considering patient consent, data harmonization and a MIRACUM metadata repository as well as a common data model are major pillars of this framework. The methodological approach for shared data usage relies on a federated querying and analysis concept. Use Cases: MIRACUM aims at proving the value of their DIC with three use cases: IT support for patient recruitment into clinical trials, the development and routine care implementation of a clinico-molecular predictive knowledge tool, and molecular-guided therapy recommendations in molecular tumor boards. Results: Based on the MIRACUM DIC release in the nine months conceptual phase first large scale analysis for stroke and colorectal cancer cohorts have been pursued. Discussion: Beyond all technological challenges successfully applying the MIRACUM tools for the enrichment of our knowledge about diagnostic and therapeutic concepts, thus supporting the concept of a Learning Health System will be crucial for the acceptance and sustainability in the medical community and the MIRACUM university hospitals.
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spelling pubmed-61782002018-10-30 MIRACUM: Medical Informatics in Research and Care in University Medicine: A Large Data Sharing Network to Enhance Translational Research and Medical Care Prokosch, Hans-Ulrich Acker, Till Bernarding, Johannes Binder, Harald Boeker, Martin Boerries, Melanie Daumke, Philipp Ganslandt, Thomas Hesser, Jürgen Höning, Gunther Neumaier, Michael Marquardt, Kurt Renz, Harald Rothkötter, Hermann-Josef Schade-Brittinger, Carmen Schmücker, Paul Schüttler, Jürgen Sedlmayr, Martin Serve, Hubert Sohrabi, Keywan Storf, Holger Methods Inf Med Introduction: This article is part of the Focus Theme of Methods of Information in Medicine on the German Medical Informatics Initiative. Similar to other large international data sharing networks (e.g. OHDSI, PCORnet, eMerge, RD-Connect) MIRACUM is a consortium of academic and hospital partners as well as one industrial partner in eight German cities which have joined forces to create interoperable data integration centres (DIC) and make data within those DIC available for innovative new IT solutions in patient care and medical research. Objectives: Sharing data shall be supported by common interoperable tools and services, in order to leverage the power of such data for biomedical discovery and moving towards a learning health system. This paper aims at illustrating the major building blocks and concepts which MIRACUM will apply to achieve this goal. Governance and Policies: Besides establishing an efficient governance structure within the MIRACUM consortium (based on the steering board, a central administrative office, the general MIRACUM assembly, six working groups and the international scientific advisory board), defining DIC governance rules and data sharing policies, as well as establishing (at each MIRACUM DIC site, but also for MIRACUM in total) use and access committees are major building blocks for the success of such an endeavor. Architectural Framework and Methodology: The MIRACUM DIC architecture builds on a comprehensive ecosystem of reusable open source tools (MIRACOLIX), which are linkable and interoperable amongst each other, but also with the existing software environment of the MIRACUM hospitals. Efficient data protection measures, considering patient consent, data harmonization and a MIRACUM metadata repository as well as a common data model are major pillars of this framework. The methodological approach for shared data usage relies on a federated querying and analysis concept. Use Cases: MIRACUM aims at proving the value of their DIC with three use cases: IT support for patient recruitment into clinical trials, the development and routine care implementation of a clinico-molecular predictive knowledge tool, and molecular-guided therapy recommendations in molecular tumor boards. Results: Based on the MIRACUM DIC release in the nine months conceptual phase first large scale analysis for stroke and colorectal cancer cohorts have been pursued. Discussion: Beyond all technological challenges successfully applying the MIRACUM tools for the enrichment of our knowledge about diagnostic and therapeutic concepts, thus supporting the concept of a Learning Health System will be crucial for the acceptance and sustainability in the medical community and the MIRACUM university hospitals. Schattauer GmbH 2018-07 2018-07-17 /pmc/articles/PMC6178200/ /pubmed/30016814 http://dx.doi.org/10.3414/ME17-02-0025 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License, which permits unrestricted reproduction and distribution, for non-commercial purposes only; and use and reproduction, but not distribution, of adapted material for non-commercial purposes only, provided the original work is properly cited.
spellingShingle Prokosch, Hans-Ulrich
Acker, Till
Bernarding, Johannes
Binder, Harald
Boeker, Martin
Boerries, Melanie
Daumke, Philipp
Ganslandt, Thomas
Hesser, Jürgen
Höning, Gunther
Neumaier, Michael
Marquardt, Kurt
Renz, Harald
Rothkötter, Hermann-Josef
Schade-Brittinger, Carmen
Schmücker, Paul
Schüttler, Jürgen
Sedlmayr, Martin
Serve, Hubert
Sohrabi, Keywan
Storf, Holger
MIRACUM: Medical Informatics in Research and Care in University Medicine: A Large Data Sharing Network to Enhance Translational Research and Medical Care
title MIRACUM: Medical Informatics in Research and Care in University Medicine: A Large Data Sharing Network to Enhance Translational Research and Medical Care
title_full MIRACUM: Medical Informatics in Research and Care in University Medicine: A Large Data Sharing Network to Enhance Translational Research and Medical Care
title_fullStr MIRACUM: Medical Informatics in Research and Care in University Medicine: A Large Data Sharing Network to Enhance Translational Research and Medical Care
title_full_unstemmed MIRACUM: Medical Informatics in Research and Care in University Medicine: A Large Data Sharing Network to Enhance Translational Research and Medical Care
title_short MIRACUM: Medical Informatics in Research and Care in University Medicine: A Large Data Sharing Network to Enhance Translational Research and Medical Care
title_sort miracum: medical informatics in research and care in university medicine: a large data sharing network to enhance translational research and medical care
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6178200/
https://www.ncbi.nlm.nih.gov/pubmed/30016814
http://dx.doi.org/10.3414/ME17-02-0025
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