Der Weg zu Routinedaten aus 16 Notaufnahmen für die sektorenübergreifende Versorgungsforschung

  1. Fischer-Rosinský, Antje
  2. Slagman, Anna
  3. King, Ryan
  4. Zimmermann, Grit
  5. Drepper, Johannes
  6. Brammen, Dominik
  7. Lüpkes, Christian
  8. Reinhold, Thomas
  9. Roll, Stephanie
  10. Keil, Thomas
  11. Möckel, Martin
  12. Greiner, Felix
  13. Behringer, Wilhelm
  14. Bernhard, Michael
  15. Blaschke, Sabine
  16. Busch, Hans-Jörg
  17. Erdmann, Bernadett
  18. Flasch, Bernhard
  19. Gries, André
  20. Höger-Schmidt, Heike
  21. Schöpke, Timo
  22. Schwarz, Constanze
  23. Somasundaram, Rajan
  24. Weidmann, Erik
  25. Wolfrum, Sebastian
  26. Wrede, Christian

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1000 Titel
  • Der Weg zu Routinedaten aus 16 Notaufnahmen für die sektorenübergreifende Versorgungsforschung
1000 Titelzusatz
  • The way to routine data from 16 emergency departments for cross-sectoral health services research
1000 Autor/in
  1. Fischer-Rosinský, Antje |
  2. Slagman, Anna |
  3. King, Ryan |
  4. Zimmermann, Grit |
  5. Drepper, Johannes |
  6. Brammen, Dominik |
  7. Lüpkes, Christian |
  8. Reinhold, Thomas |
  9. Roll, Stephanie |
  10. Keil, Thomas |
  11. Möckel, Martin |
  12. Greiner, Felix |
  13. Behringer, Wilhelm |
  14. Bernhard, Michael |
  15. Blaschke, Sabine |
  16. Busch, Hans-Jörg |
  17. Erdmann, Bernadett |
  18. Flasch, Bernhard |
  19. Gries, André |
  20. Höger-Schmidt, Heike |
  21. Schöpke, Timo |
  22. Schwarz, Constanze |
  23. Somasundaram, Rajan |
  24. Weidmann, Erik |
  25. Wolfrum, Sebastian |
  26. Wrede, Christian |
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-10-28
1000 Erschienen in
1000 Quellenangabe
  • 117(8):644-653
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s00063-021-00879-0 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9633500/ |
1000 Publikationsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Background!#!In Germany there is currently no health reporting on cross-sectoral care patterns in the context of an emergency department care treatment. The INDEED project (Utilization and trans-sectoral patterns of care for patients admitted to emergency departments in Germany) collects routine data from 16 emergency departments, which are later merged with outpatient billing data from 2014 to 2017 on an individual level.!##!Aim!#!The methodological challenges in planning of the internal merging of routine clinical and administrative data from emergency departments in Germany up to the final data extraction are presented together with possible solution approaches.!##!Methods!#!Data were selected in an iterative process according to the research questions, medical relevance, and assumed data availability. After a preparatory phase to clarify formalities (including data protection, ethics), review test data and correct if necessary, the encrypted and pseudonymous data extraction was performed.!##!Results!#!Data from the 16 cooperating emergency departments came mostly from the emergency department and hospital information systems. There was considerable heterogeneity in the data. Not all variables were available in every emergency department because, for example, they were not standardized and digitally available or the extraction effort was judged to be too high.!##!Conclusion!#!Relevant data from emergency departments are stored in different structures and in several IT systems. Thus, the creation of a harmonized data set requires considerable resources on the part of the hospital as well as the data processing unit. This needs to be generously calculated for future projects.
1000 Sacherschließung
lokal Notfallmedizin
lokal Dokumentation
lokal Hospitalization [MeSH]
lokal Datenintegration
lokal Humans [MeSH]
lokal Documentation
lokal Data integration
lokal Emergency care
lokal Health Services Research [MeSH]
lokal Originalien
lokal Secondary data
lokal Emergency Service, Hospital [MeSH]
lokal Germany [MeSH]
lokal Standardisierung
lokal Emergency Medical Services [MeSH]
lokal Sekundärdaten
lokal Standardization
1000 Liste der Beteiligten
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1000 Erstellt am 2023-05-04T10:09:11.462+0200
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1000 Zuletzt bearbeitet Fri Oct 20 23:10:58 CEST 2023
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