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Ines Reinecke

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2020 – today

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2024
[j4]
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  - journals/cbm/GuldenMRSPB24
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Christian Gulden, Philipp Macho, Ines Reinecke, Cosima Strantz, Hans-Ulrich Prokosch, Romina Blasini:
recruIT: A cloud-native clinical trial recruitment support system based on Health Level 7 Fast Healthcare Interoperability Resources (HL7 FHIR) and the Observational Medical Outcomes Partnership Common Data Model (OMOP CDM). Comput. Biol. Medicine 174: 108411 (2024)
[j3]
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  - journals/midm/HenkeZPRSB24
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Elisa Henke, Michele Zoch, Yuan Peng, Ines Reinecke, Martin Sedlmayr, Franziska Bathelt:
Conceptual design of a generic data harmonization process for OMOP common data model. BMC Medical Informatics Decis. Mak. 24(1): 58 (2024)
[c15]
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  - conf/gmds/NguyenDHSGR24
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Hung Manh Nguyen, Luise Donat, Jens Helbig, Martin Sedlmayr, Miriam Goldammer, Ines Reinecke:
Challenges in Retrieving Patterns from Generic Data Structures in Clinical Systems - A Technical Case Report. GMDS 2024: 201-209
[c14]
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  - conf/mie/HoffmannGGPRWS24
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Katja Hoffmann, Richard Gebler, Sophia Grummt, Yuan Peng, Ines Reinecke, Markus Wolfien, Martin Sedlmayr:
A Concept for Integrating AI-Based Support Systems into Clinical Practice. MIE 2024: 643-644
2023
[j2]
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  - journals/ijmi/PengHRZSB23
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Yuan Peng, Elisa Henke, Ines Reinecke, Michéle Zoch, Martin Sedlmayr, Franziska Bathelt:
An ETL-process design for data harmonization to participate in international research with German real-world data based on FHIR and OMOP CDM. Int. J. Medical Informatics 169: 104925 (2023)
[j1]
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Anna Ostropolets, Yasser Albogami, Mitchell Conover, Juan M. Banda, William A. Baumgartner Jr., Clair Blacketer, Priyamvada Desai, Scott L. DuVall, Stephen P. Fortin, James P. Gilbert, Asieh Golozar, Joshua Ide, Andrew S. Kanter, David M. Kern, Chungsoo Kim, Lana Y. H. Lai, Chenyu Li, Feifan Liu, Kristine E. Lynch, Evan Minty, Maria Inês Neves, Ding Quan Ng, Tontel Obene, Victor Pera, Nicole Pratt, Gowtham Rao, Nadav Rappoport, Ines Reinecke, Paola Saroufim, Azza Shoaibi, Katherine Simon, Marc A. Suchard, Joel N. Swerdel, Erica A. Voss, James Weaver, Linying Zhang, George Hripcsak, Patrick B. Ryan:
Reproducible variability: assessing investigator discordance across 9 research teams attempting to reproduce the same observational study. J. Am. Medical Informatics Assoc. 30(5): 859-868 (2023)
[c13]
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Elisa Henke, Michéle Zoch, Ines Reinecke, Melissa Spoden, Thomas Ruhnke, Christian Günster, Martin Sedlmayr, Franziska Bathelt:
German Claims Data for Real-World Research: Content Coverage Evaluation in OMOP CDM. MIE 2023: 3-7
[c12]
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Ines Reinecke, Elisa Henke, Yuan Peng, Martin Sedlmayr, Franziska Bathelt:
Fitness for Use of Anatomical Therapeutic Classification for Real World Data Research. MIE 2023: 711-715
[c11]
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  - conf/mie/LorenzGBSR23
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Stephan Lorenz, Richard Gebler, Franziska Bathelt, Martin Sedlmayr, Ines Reinecke:
Evaluation of Modeling Approaches for a Clinical Data Warehouse in a Highly Dynamic Environment. MIE 2023: 753-754
2022
[c10]
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  - conf/efmi-stc/BatheltRSHGS22
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Franziska Bathelt, Ines Reinecke, Brita Sedlmayr, Sepp Höhne, Christian Gierschner, Martin Sedlmayr:
Visualization of Medical Wearable-Data Using SMART-on-FHIR - A Concept for an Interdisciplinary Complex Practical Course. EFMI-STC 2022: 61-65
[c9]
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Ines Reinecke, Franziska Bathelt, Martin Sedlmayr, Andreas Kühn:
Pharmaceutical Feedback Loop - A Concept to Improve Prescription Safety and Data Quality. EFMI-STC 2022: 73-77
[c8]
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  - conf/icimth/ReineckeGPAFZBS22
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Ines Reinecke, Mirko Gruhl, Martin Pinnau, Fatma Betül Altun, Michael Folz, Michéle Zoch, Franziska Bathelt, Martin Sedlmayr:
An OHDSI ATLAS Extension to Support Feasibility Requests in a Research Network. ICIMTH 2022: 515-516
[c7]
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Ines Reinecke, Michael Kallfelz, Martin Sedlmayr, Joscha Siebel, Franziska Bathelt:
Evaluation and Challenges of Medical Procedure Data Harmonization to SNOMED-CT for Observational Research. MIE 2022: 405-406
[c6]
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Elisa Henke, Ines Reinecke, Michele Zoch, Martin Sedlmayr, Franziska Bathelt:
Towards the Improvement of Clinical Guidelines Based on Real World Data. MIE 2022: 480-484
2021
[c5]
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Ines Reinecke, Michéle Zoch, Markus Wilhelm, Martin Sedlmayr, Franziska Bathelt:
Transfer of Clinical Drug Data to a Research Infrastructure on OMOP - A FAIR Concept. EFMI-STC 2021: 63-67
[c4]
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  - conf/gmds/ReineckeZRSB21
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Ines Reinecke, Michéle Zoch, Christian Reich, Martin Sedlmayr, Franziska Bathelt:
The Usage of OHDSI OMOP - A Scoping Review. GMDS 2021: 95-103
[c3]
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  - conf/medinfo/VassRBPG21
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Albert Vass, Ines Reinecke, Martin Boeker, Hans-Ulrich Prokosch, Christian Gulden:
Availability of Structured Data Elements in Electronic Health Records for Supporting Patient Recruitment in Clinical Trials. MedInfo 2021: 130-134
2020
[c2]
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  - conf/mie/ReineckeGKNBS20
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Ines Reinecke, Christian Gulden, Michéle Kümmel, Azadeh Nassirian, Romina Blasini, Martin Sedlmayr:
Design for a Modular Clinical Trial Recruitment Support System Based on FHIR and OMOP. MIE 2020: 158-162
[c1]
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  - conf/mie/GruhlRS20
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Mirko Gruhl, Ines Reinecke, Martin Sedlmayr:
Specification and Distribution of Vocabularies Among Consortial Partners. MIE 2020: 1393-1394

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