| 2024 | |
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Ahmadi N, Zoch M, Guengoeze O, Facchinello C, Mondorf A, Stratmann K, Musleh K, Erasmus HP, Tchertov J, Gebler R, Schaaf J, Frischen LS, Nasirian A, Dai J, Henke E, Tremblay D, Srisuwananukorn A, Bornhäuser M, Röllig C, Eckardt JN, Middeke JM, Wolfien M, Sedlmayr M
How to customize common data models for rare diseases: an OMOP-based implementation and lessons learned. Orphanet journal of rare diseases 19 (2024) 298, DOI Link |
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Henke E, Zoch M, Peng Y, Reinecke I, Sedlmayr M, Bathelt F
Conceptual design of a generic data harmonization process for OMOP common data model. BMC medical informatics and decision making 24 (2024) 58, DOI Link |
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Weidner J, Kern I, Reinecke I, Bathelt F, Manuwald U, Henke E, Zoch M, Rothe U, Kugler J
A systematic review and meta-regression on international trends in the incidence of ulcerative colitis in children and adolescents associated with socioeconomic and geographic factors. European journal of pediatrics (2024), DOI Link |
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Zoch M, Gierschner C, Andreeff AK, Henke E, Sedlmayr M, Müller G, Tippmann J, Hebestreit H, Choukair D, Hoffmann GF, Fritz-Kebede F, Toepfner N, Berner R, Biergans S, Verbücheln R, Schaaf J, Fleck J, Wirth FN, Schepers J, Prasser F
Secondary use of patient data within decentralized studies using the example of rare diseases in Germany: A data scientist's exploration of process and lessons learned. Digital health 10 (2024) 20552076241265219, DOI Link |
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Zoch M, Gierschner C, Gebler R, Leutner LA, Kretschmer T, Danker A, Lee-Kirsch MA, Berner R, Sedlmayr M
Transition database for rare diseases and its use for clinical documentation. Health informatics journal 30 (2024) 14604582241259322, DOI Link |
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| 2023 | |
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Ahmadi N, Zoch M, Sedlmayr B, Schuler K, Hahn W, Sedlmayr M, Wolfien M
Context-Sensitive Common Data Models for Genetic Rare Diseases - A Concept. Studies in health technology and informatics 305 (2023) 139-140, DOI Link |
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Ahmadi N, Zoch M, Kelbert P, Noll R, Schaaf J, Wolfien M, Sedlmayr M
Methods Used in the Development of Common Data Models for Health Data: Scoping Review. JMIR medical informatics 11 (2023) e45116, DOI Link |
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Henke E, Peng Y, Reinecke I, Zoch M, Sedlmayr M, Bathelt F
An Extract-Transform-Load Process Design for the Incremental Loading of German Real-World Data Based on FHIR and OMOP CDM: Algorithm Development and Validation. JMIR medical informatics 11 (2023) e47310, DOI Link |
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Henke E, Zoch M, Reinecke I, Spoden M, Ruhnke T, Günster C, Sedlmayr M, Bathelt F
German Claims Data for Real-World Research: Content Coverage Evaluation in OMOP CDM. Studies in health technology and informatics 302 (2023) 3-7, DOI Link |
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Henke E, Zoch M, Kallfelz M, Ruhnke T, Leutner LA, Spoden M, Günster C, Sedlmayr M, Bathelt F
Assessing the Use of German Claims Data Vocabularies for Research in the Observational Medical Outcomes Partnership Common Data Model: Development and Evaluation Study. JMIR medical informatics 11 (2023) e47959, DOI Link |
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Peng Y, Henke E, Reinecke I, Zoch M, Sedlmayr M, Bathelt F
An ETL-process design for data harmonization to participate in international research with German real-world data based on FHIR and OMOP CDM. International journal of medical informatics 169 (2023) 104925, DOI Link |
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Wolfien M, Ahmadi N, Fitzer K, Grummt S, Heine KL, Jung IC, Krefting D, Kühn A, Peng Y, Reinecke I, Scheel J, Schmidt T, Schmücker P, Schüttler C, Waltemath D, Zoch M, Sedlmayr M
Ten Topics to Get Started in Medical Informatics Research. Journal of medical Internet research 25 (2023) e45948, DOI Link |
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| 2022 | |
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Ahmadi N, Peng Y, Wolfien M, Zoch M, Sedlmayr M
Cancer Prediction on OMOP CDM – a Rapid Review GMDS 2022 (2022), DOI Link |
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Ahmadi N, Peng Y, Wolfien M, Zoch M, Sedlmayr M
OMOP CDM Can Facilitate Data-Driven Studies for Cancer Prediction: A Systematic Review. International journal of molecular sciences 23 (2022), DOI Link |
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Henke E, Reinecke I, Zoch M, Sedlmayr M, Bathelt F
Towards the Improvement of Clinical Guidelines Based on Real World Data. Studies in health technology and informatics 294 (2022) 480-484, DOI Link |
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Henke E, Zoch M, Bathelt F, Spoden M, Ruhnke T, Günster C, Sedlmayr M
Identifikation von Gemeinsamkeiten klinischer Daten und GKV-Routinedaten für deren Verknüpfung in OMOP CDM zur stationären Qualitätsmessung GMDS 2022 (2022), DOI Link |
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Reinecke I, Gruhl M, Pinnau M, Altun FB, Folz M, Zoch M, Bathelt F, Sedlmayr M
An OHDSI ATLAS Extension to Support Feasibility Requests in a Research Network. Studies in health technology and informatics 295 (2022) 515-516, DOI Link |
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| 2021 | |
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Bathelt F, Kümmel M, Helfer S, Gruhl M, Sedlmayr M
Personalisierte Medizin live erleben In: Herrmann C., Berger U., Weiß C., Burkholder I., Rauch G., Kruppa J. (eds): Zeig mir Health Data Science! Springer Spektrum (2021), ISBN: 978-3-662-62192-9 |
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Helfer S, Kümmel M, Bathelt F, Sedlmayr M
Generating Enriched Synthetic German Hospital Claims Data - A Use Case Driven Approach. Studies in health technology and informatics 278 (2021) 58-65, DOI Link |
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Leutner LA, Bathelt F, Sedlmayr B, Sedlmayr M, Zoch M
Development of a Dashboard for Rare Diseases - A Technical Case Report. Studies in health technology and informatics 283 (2021) 78-85, DOI Link |
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Reinecke I, Zoch M, Wilhelm M, Sedlmayr M, Bathelt F
Transfer of Clinical Drug Data to a Research Infrastructure on OMOP - A FAIR Concept. Studies in health technology and informatics 287 (2021) 63-67, DOI Link |
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Reinecke I, Zoch M, Reich C, Kallfeltz M, Grewe N, Sedlmayr M
OHDSI Germany – Join the Journey: A Workshop German Medical Science GMS Publishing House (2021), DOI Link |
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Reinecke I, Zoch M, Reich C, Sedlmayr M, Bathelt F
The Usage of OHDSI OMOP - A Scoping Review. Studies in health technology and informatics 283 (2021) 95-103, DOI Link |
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Zoch M, Gierschner C, Peng Y, Gruhl M, Leutner LA, Sedlmayr M, Bathelt F
Adaption of the OMOP CDM for Rare Diseases. Studies in health technology and informatics 281 (2021) 138-142, DOI Link |
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Zoch M, Sedlmayr B, Knapp A, Bathelt F, Helfer S, Schmitt J, Sedlmayr M
Interdisciplinary care path and potential IT support for people with rare diseases in Germany. Zeitschrift fur Evidenz, Fortbildung und Qualitat im Gesundheitswesen (2021), DOI Link |
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| 2020 | |
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Bathelt F, Kümmel M, Helfer S, Kamann C, Sedlmayr M
Formal Modelling of FHIR Based, Medical Data Exchange Using Algebraic Petri Nets. Studies in health technology and informatics 270 (2020) 597-601, DOI Link |
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Reinecke I, Gulden C, Kümmel M, Nassirian A, Blasini R, Sedlmayr M
Design for a Modular Clinical Trial Recruitment Support System Based on FHIR and OMOP. Studies in health technology and informatics 270 (2020) 158-162, DOI Link |
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Sedlmayr B, Knapp A, Kümmel M, Bathelt F, Sedlmayr M
Evaluation of a future scenario concerning the use of big data applications to improve the care of people with rare diseases. Zeitschrift fur Evidenz, Fortbildung und Qualitat im Gesundheitswesen (2020), DOI Link |
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Schmitt J, Lange T, Forkert C, Rößler M, Walther F, Knapp A, Karschau J, Gruhl M, Kümmel M, Gebler R, Löwe M, Sedlmayr M, Mogwitz A, Kleber C
Das DISPENSE-Tool: Dresdner Informations- und Prognosetool für Bettenauslastung in Sachsen German Medical Science GMS Publishing House (2020), DOI Link |
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