Evaluation of hybrid stroke quality indicators by integrating NIHSS and claims data for improved outcome prediction.
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| Title: | Evaluation of hybrid stroke quality indicators by integrating NIHSS and claims data for improved outcome prediction. |
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| Authors: | Datzmann T; Center for Evidence-Based Healthcare, Medical Faculty and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany., Lang C; Center for Evidence-Based Healthcare, Medical Faculty and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany., Tesch F; Center for Evidence-Based Healthcare, Medical Faculty and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany., Spoden M; Wissenschaftliches Institut der AOK (AOK Research Institute), Berlin, Germany., Dröge P; Wissenschaftliches Institut der AOK (AOK Research Institute), Berlin, Germany., Ehm F; Center for Evidence-Based Healthcare, Medical Faculty and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany., Schuler E; Helios Kliniken GmbH, Berlin, Germany., Krogias C; Department of Neurology, Evangelisches Krankenhaus Herne, Academic Teaching Hospital of the Ruhr University Bochum, Herne, Germany., Günster C; Wissenschaftliches Institut der AOK (AOK Research Institute), Berlin, Germany., Schmitt J; Center for Evidence-Based Healthcare, Medical Faculty and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany., Gumbinger C; Department of Neurology, Heidelberg University Hospital, Heidelberg, Germany., Barlinn J; Department of Neurology, University Hospital and Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany. Jessica.Barlinn@ukdd.de. |
| Source: | Scientific reports [Sci Rep] 2025 Nov 07; Vol. 15 (1), pp. 38994. Date of Electronic Publication: 2025 Nov 07. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2045-2322 |
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| DOI: | 10.1038/s41598-025-25979-1 |
