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2507302 XI94ATI3 1 apa 50 date desc year 3920 https://mi-ki.eu/wp-content/plugins/zotpress/
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Bott, O. J., Egbert, N., Kröner, S., Rühlicke, S., Schreiweis, B., Strahwald, B., Strotbaum, V., & Wiesner, M. (2026). Wie wird die Datenspende zum Erfolgsmodell? Workshopbericht zu effektiven Kommunikations- und Vermittlungsstrategien für Bürger:innen und Patient:innen. https://journals.publisso.de/de/journals/mibe/volume22/mibe000299, (22). https://doi.org/10.3205/mibe000299
Tran, F., Bourgery, M., Eicker, N. N., Hinrichsen, F., Guggeis, M., Welz, L., Schreiweis, B., Aden, K., Rosenstiel, P., & Schreiber, S. W. (2026). P0229 Bowel urgency across inflammatory bowel disease phenotypes: A large real-world analysis reveals high symptom burden in ileal Crohn’s disease. Journal of Crohn’s and Colitis, 20(Supplement_1), jjaf231.410. https://doi.org/10.1093/ecco-jcc/jjaf231.410
Mejia, L., Bergh, B., & Schreiweis, B. (2025). Time for Clarity in Exploring the Evidence and Key Concepts of Human-Centered Design in Digital Health Care: Protocol for a Scoping Review. JMIR Research Protocols, 14(1), e74067. https://doi.org/10.2196/74067
Bronsch, T., Anywar, M., Kinast, B., Ulrich, H., Macedo, M., Kruse, J., Behrend, P., & Schreiweis, B. (2025). Implementation of a Patient Consent Management at a German Medical Data Integration Center. Studies in Health Technology and Informatics, 329, 1626–1627. https://doi.org/10.3233/SHTI251134
Macedo, M., Wiedekopf, J., Hillmer, T., Schreiweis, B., Saalfeld, S., & Ulrich, H. (2025). From Text to Knowledge: An End-To-End Extraction Pipeline for Clinical Information. Studies in Health Technology and Informatics, 329, 1074–1078. https://doi.org/10.3233/SHTI251004
Arshad, K., Ardalan, S., Schreiweis, B., & Bergh, B. (2025). Integrating an AI platform into clinical IT: BPMN processes for clinical AI model development. BMC Medical Informatics and Decision Making, 25(1), 243. https://doi.org/10.1186/s12911-025-03087-4
Felbel, D., Prüser, M., Schmidt, C., Schreiweis, B., Spicher, N., Rottbauer, W., Varghese, J., Zietzer, A., Störk, S., Dieterich, C., Krefting, D., Martens, E., Sedlmayr, M., Bongiovanni, D., Olivier, C. B., Lapp, H., Schmidt, H., Katzmann, J. L., Nensa, F., … the ACRIBiS Study Group. (2025). The “Advancing Cardiovascular Risk Identification with Structured Clinical Documentation and Biosignal Derived Phenotypes Synthesis” (ACRIBiS) Project – Conceptual Design, Project Planning, and First Implementation Experiences. European Heart Journal - Digital Health, ztaf075. https://doi.org/10.1093/ehjdh/ztaf075
Pobiruchin, M., Schreiweis, B., Bott, O. J., & Wiesner, M. (2025). ePA für alle – alles klar?! (GI-Radar). Gesellschaft für Informatik. https://gi-radar.de/378-die-epa-fuer-alle-ist-da/
Mejia, L., Bergh, B., & Schreiweis, B. (2025). Mind the Gap: Design Thinking and Human Centered Design for eHealth Applications - Insights from Vulnerable Populations in a Scoping Review. Studies in Health Technology and Informatics, 327, 426–427. https://doi.org/10.3233/SHTI250369
Kinast, B., Wiedekopf, J., Ulrich, H., & Schreiweis, B. (2025). Extracting LOINC Codes from a Laboratory Information System’s Index: Addressing Semantic Interoperability with Web Scraping. Studies in Health Technology and Informatics, 324, 234–239. https://doi.org/10.3233/SHTI250194
Kröner, S., Schreiweis, B., Strotbaum, V., Brandl, L. C., Pobiruchin, M., & Wiesner, M. (2025). Consumer perspectives on the national electronic health record and barriers to its adoption in Germany: does health policy require a change in communication? BMC Health Services Research, 25(1), 33. https://doi.org/10.1186/s12913-024-12175-6
Lehmann, H., Franzenburg, J., Qian, H., Bergh, B., & Schreiweis, B. (2024). Integration des Healthcare Embedded Biobanking in das Medizinische Datenintegrationszentrum des Universitätsklinikum Schleswig-Holstein. In 12. Nationales Biobanken-Symposium 2024 - Vernetztes Biobanking: Gemeinsam stark in die Zukunft (Vol. 12, pp. 211–216).
Schladetzky, J., Reimer, N., Nicolaus, H., Busch, H., Schreiweis, B., & Kock-Schoppenhauer, A.-K. (2024). Integration of Oncological Data into openEHR: A Path Towards Improved Cancer Care and Research. Studies in Health Technology and Informatics, 316, 1319–1323. https://doi.org/10.3233/SHTI240655
Anywar, M., Macedo, M., Pazmino, S., Bronsch, T., Kinast, B., Kock-Schoppenhauer, A.-K., & Schreiweis, B. (2024). Challenges and Lessons Learned in Mapping HL7 v2 Data to openEHR: Insights from UKSH Medical Data Integration Center. Studies in Health Technology and Informatics, 316, 1328–1332. https://doi.org/10.3233/SHTI240658
Arshad, K., Ardalan, S., Schreiweis, B., & Bergh, B. (2024). Leveraging Clinical Data Treasures: Integration of an AI Platform into Clinical IT. Studies in Health Technology and Informatics, 316, 1169–1173. https://doi.org/10.3233/SHTI240619
Hillmer, T., Riech, K., Gisch, S., Bergh, B., Schreiweis, B., & Ulrich, H. (2024). Advancing Healthcare Research Through Live-Data Integration: Implementing IEEE 11073 and FHIR in Clinical Environment. Studies in Health Technology and Informatics, 316, 1343–1347. https://doi.org/10.3233/SHTI240661
Kinast, B., Rohde, H., Anywar, M., Bronsch, T., Voran, J., Kreidl, F., Frank, D., & Schreiweis, B. (2024). Implementation of an Atrioventricular Valve Intervention Registry: Comparative Study of REDCap vs. CDR-Based openEHR Registry. Studies in Health Technology and Informatics, 316, 1069–1073. https://doi.org/10.3233/SHTI240595
Cheng, K. Y., Böhm, R., Bulin, C., Jandok, B., & Schreiweis, B. (2024). Quality Assessment Framework of Clinical Routine Data for Secondary Use. Studies in Health Technology and Informatics, 316, 100–104. https://doi.org/10.3233/SHTI240355
Albashiti, F., Thasler, R., Wendt, T., Bathelt, F., Reinecke, I., & Schreiweis, B. (2024). [Data integration centers-from a concept in the Medical Informatics Initiative to its local implementation in the Network of University Medicine]. Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 67(6), 629–636. https://doi.org/10.1007/s00103-024-03879-5
Heitmann, K., Pantazoglou, E., Schreiweis, B., Krieg, S., Kallfelz, M., Thole, H., Störk, S., Kampmann, A., Schug, S., Wahle, L., & Ortmann, S. (2024). Positionspapier Kardiologischer Basisdatensatz. https://doi.org/10.13140/RG.2.2.10719.27045
Heitmann, K., Pantazoglou, E., Schreiweis, B., Krieg, S., Kallfelz, M., Thole, H., Störk, S., Kampmann, A., Schug, S., Wahle, L., & Ortmann, S. (2024). Positionspapier Kardiologischer Basisdatensatz. InteropCouncil for digital health in Germany. https://www.ina.gematik.de/fileadmin/Dokumente/Positionspapier_Kardiologischer_Basisdatensatz_v1.01.pdf
Ulrich, H., Anywar, M., Kinast, B., & Schreiweis, B. (2024). Large-Scale Standardized Image Integration for Secondary Use Research Projects. Studies in Health Technology and Informatics, 310, 174–178. https://doi.org/10.3233/SHTI230950
Müller, D., Voran, J. C., Macedo, M., Hartmann, D., Lind, C., Frank, D., Schreiweis, B., Kramer, F., & Ulrich, H. (2024). Assessing Patient Health Dynamics by Comparative CT Analysis: An Automatic Approach to Organ and Body Feature Evaluation. Diagnostics, 14(23), 2760. https://doi.org/10.3390/diagnostics14232760
Schreiweis, B., Ammon, D., Sedlmayr, M., Albashiti, F., & Wendt, T. (2024). Datenintegrationszentren (DIZ) für eine bessere Vernetzung von Krankenversorgung und Forschung. In V. Henke, G. Hülsken, H. Schneider, & J. Varghese (Eds.), Health Data Management: Schlüsselfaktor für erfolgreiche Krankenhäuser (pp. 497–506). Springer Fachmedien. https://doi.org/10.1007/978-3-658-43236-2_42
Schreiweis, B., Ulrich, H., Lehmann, H., Kock-Schoppenhauer, A.-K., Kinast, B., & Bergh, B. (2024). Die Wissensmanagementplattform für Versorgung und Forschung am Universitätsklinikum Schleswig-Holstein – Ein Praxisbeispiel. In V. Henke, G. Hülsken, H. Schneider, & J. Varghese (Eds.), Health Data Management: Schlüsselfaktor für erfolgreiche Krankenhäuser (pp. 689–701). Springer Fachmedien. https://doi.org/10.1007/978-3-658-43236-2_58
Cheng, K. Y., Pazmino, S., Bergh, B., Lange-Hegermann, M., & Schreiweis, B. (2024). An Image Retrieval Pipeline in a Medical Data Integration Center. Stud Health Technol Inform, 310, 1388–1389. https://doi.org/10.3233/SHTI231208
Cheng, K. Y., Pazmino, S., Qian, H., Bergh, B., & Schreiweis, B. (2024). Structured Data Retrieval and Analysis of HL7 v2 Messages with Elasticsearch. Stud Health Technol Inform, 310, 1464–1465. https://doi.org/10.3233/SHTI231246
Andrikopoulou, E., Schreiweis, B., & Anywar, M. (2023). Interdisciplinary Teams in Health Informatics: Using FHIR Standards to Share Computable Knowledge. Studies in Health Technology and Informatics, 302, 541–545. https://doi.org/10.3233/SHTI230201
Kinast, B., Ulrich, H., Bergh, B., & Schreiweis, B. (2023). Functional Requirements for Medical Data Integration into Knowledge Management Environments: Requirements Elicitation Approach Based on Systematic Literature Analysis. Journal of Medical Internet Research, 25, e41344. https://doi.org/10.2196/41344
Mejia, L., Rademacher, A. V., Dördelmann, J., Bergh, B., Schewe, D. M., Frielitz, F.-S., & Schreiweis, B. (2022). Patient Journey Mapping: Does It Help Identifying Patient Needs for the Development of Digital Technologies in Healthcare? DocAbstr. 102. https://doi.org/10.3205/22gmds045
Bronsch, T., Bergh, B., & Schreiweis, B. (2022). Requirements Analysis for Core Medical Research IT Infrastructure Components: A Systematic Literature Analysis. DocAbstr. 194. https://doi.org/10.3205/22gmds021
Kinast, B., Lutz, M., & Schreiweis, B. (2022). Telemonitoring of real-world health data in cardiology: a systematic review. DocAbstr. 3. https://doi.org/10.3205/22gmds027
Fischer, S., Winter, A., Bergh, B., Strübing, A., Merzweiler, A., Bialke, M., Gött, R., Kaulke, K., & Stäubert, S. (2022). Anforderungen an die Modellierung von IT-Sicherheitszonen in 3LGM2. DocAbstr. 122. https://doi.org/10.3205/22gmds118
Brandl, L. C., Kröner, S., Pobiruchin, M., Schreiweis, B., Strotbaum, V., Woll, S., & Wiesner, M. (2022). ePA-Survey 2021: Bekanntheit, Bedarfe und Nutzung der elektronischen Patientenakte unter Versicherten in Deutschland. DocAbstr. 76. https://doi.org/10.3205/22gmds043
Arshad, K., Ardalan, S., Schreiweis, B., & Bergh, B. (2022). Integration of AI platforms with clinical IT: Process modelling for generic use cases. DocAbstr. 46. https://doi.org/10.3205/22gmds001
Cheng, K. Y., Pazmino, S., & Schreiweis, B. (2022). ETL Processes for Integrating Healthcare Data - Tools and Architecture Patterns. Stud Health Technol Inform, 299, 151–156. https://doi.org/10.3233/SHTI220974
Beß, A., Friedhoff, C., Brinkmann, W., Schmücker, P., Schreiweis, B., Matzerath, I., Berger, K., Weinhold, K., & Reiter, M. (2022). Health Data Management, Wissensgenerierung und Datenkompetenzpotenziale. In V. Henke, G. Hülsken, P.-M. Meier, & A. Beß (Eds.), Digitalstrategie im Krankenhaus: Einführung und Umsetzung von Datenkompetenz und Compliance (pp. 471–489). Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-36226-3_34
Bennett, A., Wiedekopf, J., Ulrich, H., & Johnson, A. (2022). MIMIC-IV Clinical Database Demo on FHIR. PhysioNet. https://doi.org/10.13026/2F5G-DH02
Anywar, M., Schreiweis, B., & Ulrich, H. (2022). Strategies and Recommendation for Data Loading of FHIR-Based Data Marts with Focus on GDPR Compliance. Stud Health Technol Inform, 298, 127–131. https://doi.org/10.3233/SHTI220921
Anywar, M., Pazmino, S., Cheng, K. Y., Petersen, N., Qian, H., Rottmann, F., Richter, T., Bronsch, T., Bergh, B., & Schreiweis, B. (2021). Mapping HL7v2 ORU and BAR Messages to openEHR Archetypes. DocAbstr. 100. https://doi.org/10.3205/21gmds025
Schreiweis, B., Brandner, A., & Bergh, B. (2021). Applicability of Different Electronic Record Types for Use in Patient Recruitment Support Systems: Comparative Analysis. JMIR Formative Research, 5(9). https://doi.org/10.2196/13790
Kinast, B., Lutz, M., & Schreiweis, B. (2021). Telemonitoring of Real-World Health Data in Cardiology: A Systematic Review. International Journal of Environmental Research and Public Health, 18(17), 9070. https://doi.org/10.3390/ijerph18179070
Schreiweis, B., Ammon, D., Sedlmayr, M., Albashiti, F., & Wendt, T. (2021). the data integration centre - a hub for health data a hub for health data from patient care and from patient care and medical research medical research. Gesundhyte.de https://www.systembiologie.de/lw_resource/datapool/systemfiles/elements/files/C728237E17616860E0537E695E867C1A/live/document/gesundhyte_13_2021_engl_Online.pdf , (13 July 2021), 84–87. https://www.systembiologie.de/lw_resource/datapool/systemfiles/elements/files/C728237E17616860E0537E695E867C1A/live/document/gesundhyte_13_2021_engl_Online.pdf
Schreiweis, B. (2021). Digitale Medizin. Erkennen, Verstehen, Heilen – 66. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS) e.V. und 12. Jahreskongress der Technologie- und Methodenplattform für die vernetzte medizinische Forschung (TMF) e.V. (Digital Medicine. Recognizing, Understanding, Healing – 66th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS) and 12th Annual Congress of Technology, Methods, and Infrastructure for Networked Medical Research (TMF)) Editorial. GMS Med Inform Biom Epidemiol, 17(4), Doc 19. https://doi.org/10.3205/mibe000233
Arshad, K., Schreiweis, B., Strodthoff, C., & Bergh, B. (2021). Überblick über ethische und soziale Herausforderungen im Kontext der klinischen Nutzung von KI-Systemen= Overview of ethical and social challenges in the context of clinical use of AI systems. Zeitschrift Für Medizinische Ethik, 67(3), 297–308.
Schreiweis, B., & Kock-Schoppenhauer, A. K. (2021). One Conference, Three Proceedings - Which Papers Should I Submit and How? A Publication Strategy for Young Scientists Regarding the GMDS Annual Conference and Beyond (Editorial). Stud Health Technol Inform, 283, 12–19. https://doi.org/10.3233/SHTI210535
Kock-Schoppenhauer, A.-K., Schreiweis, B., Ulrich, H., Reimer, N., Wiedekopf, J., Kinast, B., Busch, H., Bergh, B., & Ingenerf, J. (2021). Medical Data Engineering – Theory and Practice. In L. Bellatreche, G. Chernishev, A. Corral, S. Ouchani, & J. Vain (Eds.), Advances in Model and Data Engineering in the Digitalization Era (pp. 269–284). Springer International Publishing. https://doi.org/10.1007/978-3-030-87657-9_21
Kinast, B., Pobiruchin, M., Schreiweis, B., Strotbaum, V., & Wiesner, M. (2020). Erst zum Arzt oder gleich die App?! Ein Workshop der GMDS-AG Consumer Health Informatics zur Wirkung digitaler Lebenswelten auf das Arzt-Patienten-Verhältnis.
Schreiweis, B., Strahwald, B., Wiesner, M., Pobiruchin, M., Ziehm, T., & Strotbaum, V. (2020). Episode 2 - Wie kann ich online zu meinem Arzt gehen? [Web Page]. GMDS. Coronakrise - Welche Digitalen Angebote Helfen Könn(t)En, https://www.gmds.de/de/aktivitaeten/medizinische-informatik/arbeitsgruppenseiten/consumer-health-informatics-chi/covid19digital/episode2/. https://www.gmds.de/de/aktivitaeten/medizinische-informatik/arbeitsgruppenseiten/consumer-health-informatics-chi/covid19digital/episode2/
Bild, R., Bialke, M., Buckow, K., Ganslandt, T., Ihrig, K., Jahns, R., Merzweiler, A., Roschka, S., Schreiweis, B., Staubert, S., Zenker, S., & Prasser, F. (2020). Towards a comprehensive and interoperable representation of consent-based data usage permissions in the German medical informatics initiative. BMC Med Inform Decis Mak, 20(1), 103. https://doi.org/10.1186/s12911-020-01138-6

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