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Smart Medical Information Technology for Healthcare (SMITH) : Data Integration based on Interoperability Standards

Introduction: This article is part of the Focus Theme of Methods of Information in Medicine on the German Medical Informatics Initiative. “Smart Medical Information Technology for Healthcare (SMITH)” is one of four consortia funded by the German Medical Informatics Initiative (MI-I) to create an all...

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Autores principales: Winter, Alfred, Stäubert, Sebastian, Ammon, Danny, Aiche, Stephan, Beyan, Oya, Bischoff, Verena, Daumke, Philipp, Decker, Stefan, Funkat, Gert, Gewehr, Jan E., de Greiff, Armin, Haferkamp, Silke, Hahn, Udo, Henkel, Andreas, Kirsten, Toralf, Klöss, Thomas, Lippert, Jörg, Löbe, Matthias, Lowitsch, Volker, Maassen, Oliver, Maschmann, Jens, Meister, Sven, Mikolajczyk, Rafael, Nüchter, Matthias, Pletz, Mathias W., Rahm, Erhard, Riedel, Morris, Saleh, Kutaiba, Schuppert, Andreas, Smers, Stefan, Stollenwerk, André, Uhlig, Stefan, Wendt, Thomas, Zenker, Sven, Fleig, Wolfgang, Marx, Gernot, Scherag, André, Löffler, Markus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Schattauer GmbH 2018
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6193398/
https://www.ncbi.nlm.nih.gov/pubmed/30016815
http://dx.doi.org/10.3414/ME18-02-0004
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author Winter, Alfred
Stäubert, Sebastian
Ammon, Danny
Aiche, Stephan
Beyan, Oya
Bischoff, Verena
Daumke, Philipp
Decker, Stefan
Funkat, Gert
Gewehr, Jan E.
de Greiff, Armin
Haferkamp, Silke
Hahn, Udo
Henkel, Andreas
Kirsten, Toralf
Klöss, Thomas
Lippert, Jörg
Löbe, Matthias
Lowitsch, Volker
Maassen, Oliver
Maschmann, Jens
Meister, Sven
Mikolajczyk, Rafael
Nüchter, Matthias
Pletz, Mathias W.
Rahm, Erhard
Riedel, Morris
Saleh, Kutaiba
Schuppert, Andreas
Smers, Stefan
Stollenwerk, André
Uhlig, Stefan
Wendt, Thomas
Zenker, Sven
Fleig, Wolfgang
Marx, Gernot
Scherag, André
Löffler, Markus
author_facet Winter, Alfred
Stäubert, Sebastian
Ammon, Danny
Aiche, Stephan
Beyan, Oya
Bischoff, Verena
Daumke, Philipp
Decker, Stefan
Funkat, Gert
Gewehr, Jan E.
de Greiff, Armin
Haferkamp, Silke
Hahn, Udo
Henkel, Andreas
Kirsten, Toralf
Klöss, Thomas
Lippert, Jörg
Löbe, Matthias
Lowitsch, Volker
Maassen, Oliver
Maschmann, Jens
Meister, Sven
Mikolajczyk, Rafael
Nüchter, Matthias
Pletz, Mathias W.
Rahm, Erhard
Riedel, Morris
Saleh, Kutaiba
Schuppert, Andreas
Smers, Stefan
Stollenwerk, André
Uhlig, Stefan
Wendt, Thomas
Zenker, Sven
Fleig, Wolfgang
Marx, Gernot
Scherag, André
Löffler, Markus
author_sort Winter, Alfred
collection PubMed
description Introduction: This article is part of the Focus Theme of Methods of Information in Medicine on the German Medical Informatics Initiative. “Smart Medical Information Technology for Healthcare (SMITH)” is one of four consortia funded by the German Medical Informatics Initiative (MI-I) to create an alliance of universities, university hospitals, research institutions and IT companies. SMITH’s goals are to establish Data Integration Centers (DICs) at each SMITH partner hospital and to implement use cases which demonstrate the usefulness of the approach. Objectives: To give insight into architectural design issues underlying SMITH data integration and to introduce the use cases to be implemented. Governance and Policies: SMITH implements a federated approach as well for its governance structure as for its information system architecture. SMITH has designed a generic concept for its data integration centers. They share identical services and functionalities to take best advantage of the interoperability architectures and of the data use and access process planned. The DICs provide access to the local hospitals’ Electronic Medical Records (EMR). This is based on data trustee and privacy management services. DIC staff will curate and amend EMR data in the Health Data Storage. Methodology and Architectural Framework: To share medical and research data, SMITH’s information system is based on communication and storage standards. We use the Reference Model of the Open Archival Information System and will consistently implement profiles of Integrating the Health Care Enterprise (IHE) and Health Level Seven (HL7) standards. Standard terminologies will be applied. The SMITH Market Place will be used for devising agreements on data access and distribution. 3LGM (2) for enterprise architecture modeling supports a consistent development process. The DIC reference architecture determines the services, applications and the standards-based communication links needed for efficiently supporting the ingesting, data nourishing, trustee, privacy management and data transfer tasks of the SMITH DICs. The reference architecture is adopted at the local sites. Data sharing services and the market place enable interoperability. Use Cases: The methodological use case “Phenotype Pipeline” (PheP) constructs algorithms for annotations and analyses of patient-related phenotypes according to classification rules or statistical models based on structured data. Unstructured textual data will be subject to natural language processing to permit integration into the phenotyping algorithms. The clinical use case “Algorithmic Surveillance of ICU Patients” (ASIC) focusses on patients in Intensive Care Units (ICU) with the acute respiratory distress syndrome (ARDS). A model-based decision-support system will give advice for mechanical ventilation. The clinical use case HELP develops a “hospital-wide electronic medical record-based computerized decision support system to improve outcomes of patients with blood-stream infections” (HELP). ASIC and HELP use the PheP. The clinical benefit of the use cases ASIC and HELP will be demonstrated in a change of care clinical trial based on a step wedge design. Discussion: SMITH’s strength is the modular, reusable IT architecture based on interoperability standards, the integration of the hospitals’ information management departments and the public-private partnership. The project aims at sustainability beyond the first 4-year funding period.
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spelling pubmed-61933982018-10-30 Smart Medical Information Technology for Healthcare (SMITH) : Data Integration based on Interoperability Standards Winter, Alfred Stäubert, Sebastian Ammon, Danny Aiche, Stephan Beyan, Oya Bischoff, Verena Daumke, Philipp Decker, Stefan Funkat, Gert Gewehr, Jan E. de Greiff, Armin Haferkamp, Silke Hahn, Udo Henkel, Andreas Kirsten, Toralf Klöss, Thomas Lippert, Jörg Löbe, Matthias Lowitsch, Volker Maassen, Oliver Maschmann, Jens Meister, Sven Mikolajczyk, Rafael Nüchter, Matthias Pletz, Mathias W. Rahm, Erhard Riedel, Morris Saleh, Kutaiba Schuppert, Andreas Smers, Stefan Stollenwerk, André Uhlig, Stefan Wendt, Thomas Zenker, Sven Fleig, Wolfgang Marx, Gernot Scherag, André Löffler, Markus Methods Inf Med Introduction: This article is part of the Focus Theme of Methods of Information in Medicine on the German Medical Informatics Initiative. “Smart Medical Information Technology for Healthcare (SMITH)” is one of four consortia funded by the German Medical Informatics Initiative (MI-I) to create an alliance of universities, university hospitals, research institutions and IT companies. SMITH’s goals are to establish Data Integration Centers (DICs) at each SMITH partner hospital and to implement use cases which demonstrate the usefulness of the approach. Objectives: To give insight into architectural design issues underlying SMITH data integration and to introduce the use cases to be implemented. Governance and Policies: SMITH implements a federated approach as well for its governance structure as for its information system architecture. SMITH has designed a generic concept for its data integration centers. They share identical services and functionalities to take best advantage of the interoperability architectures and of the data use and access process planned. The DICs provide access to the local hospitals’ Electronic Medical Records (EMR). This is based on data trustee and privacy management services. DIC staff will curate and amend EMR data in the Health Data Storage. Methodology and Architectural Framework: To share medical and research data, SMITH’s information system is based on communication and storage standards. We use the Reference Model of the Open Archival Information System and will consistently implement profiles of Integrating the Health Care Enterprise (IHE) and Health Level Seven (HL7) standards. Standard terminologies will be applied. The SMITH Market Place will be used for devising agreements on data access and distribution. 3LGM (2) for enterprise architecture modeling supports a consistent development process. The DIC reference architecture determines the services, applications and the standards-based communication links needed for efficiently supporting the ingesting, data nourishing, trustee, privacy management and data transfer tasks of the SMITH DICs. The reference architecture is adopted at the local sites. Data sharing services and the market place enable interoperability. Use Cases: The methodological use case “Phenotype Pipeline” (PheP) constructs algorithms for annotations and analyses of patient-related phenotypes according to classification rules or statistical models based on structured data. Unstructured textual data will be subject to natural language processing to permit integration into the phenotyping algorithms. The clinical use case “Algorithmic Surveillance of ICU Patients” (ASIC) focusses on patients in Intensive Care Units (ICU) with the acute respiratory distress syndrome (ARDS). A model-based decision-support system will give advice for mechanical ventilation. The clinical use case HELP develops a “hospital-wide electronic medical record-based computerized decision support system to improve outcomes of patients with blood-stream infections” (HELP). ASIC and HELP use the PheP. The clinical benefit of the use cases ASIC and HELP will be demonstrated in a change of care clinical trial based on a step wedge design. Discussion: SMITH’s strength is the modular, reusable IT architecture based on interoperability standards, the integration of the hospitals’ information management departments and the public-private partnership. The project aims at sustainability beyond the first 4-year funding period. Schattauer GmbH 2018-07 2018-07-17 /pmc/articles/PMC6193398/ /pubmed/30016815 http://dx.doi.org/10.3414/ME18-02-0004 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 Winter, Alfred
Stäubert, Sebastian
Ammon, Danny
Aiche, Stephan
Beyan, Oya
Bischoff, Verena
Daumke, Philipp
Decker, Stefan
Funkat, Gert
Gewehr, Jan E.
de Greiff, Armin
Haferkamp, Silke
Hahn, Udo
Henkel, Andreas
Kirsten, Toralf
Klöss, Thomas
Lippert, Jörg
Löbe, Matthias
Lowitsch, Volker
Maassen, Oliver
Maschmann, Jens
Meister, Sven
Mikolajczyk, Rafael
Nüchter, Matthias
Pletz, Mathias W.
Rahm, Erhard
Riedel, Morris
Saleh, Kutaiba
Schuppert, Andreas
Smers, Stefan
Stollenwerk, André
Uhlig, Stefan
Wendt, Thomas
Zenker, Sven
Fleig, Wolfgang
Marx, Gernot
Scherag, André
Löffler, Markus
Smart Medical Information Technology for Healthcare (SMITH) : Data Integration based on Interoperability Standards
title Smart Medical Information Technology for Healthcare (SMITH) : Data Integration based on Interoperability Standards
title_full Smart Medical Information Technology for Healthcare (SMITH) : Data Integration based on Interoperability Standards
title_fullStr Smart Medical Information Technology for Healthcare (SMITH) : Data Integration based on Interoperability Standards
title_full_unstemmed Smart Medical Information Technology for Healthcare (SMITH) : Data Integration based on Interoperability Standards
title_short Smart Medical Information Technology for Healthcare (SMITH) : Data Integration based on Interoperability Standards
title_sort smart medical information technology for healthcare (smith) : data integration based on interoperability standards
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6193398/
https://www.ncbi.nlm.nih.gov/pubmed/30016815
http://dx.doi.org/10.3414/ME18-02-0004
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