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Evaluating the Potential of Machine Learning for Discharge Management on Routine Health Insurance Data.

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Title: Evaluating the Potential of Machine Learning for Discharge Management on Routine Health Insurance Data.
Authors: Ritter Z; Department of Medical Informatics, University Medical Center Göttingen, Germany.; Emergency Department, University Medical Center Göttingen, Germany.; University of Göttingen, Campus Institute Data Science, Göttingen, Germany., Maurer MC; Department of Medical Informatics, University Medical Center Göttingen, Germany.; University of Göttingen, Campus Institute Data Science, Göttingen, Germany.; Dpt of Predictive Deep Learning in Medicine and Healthcare, Justus-Liebig University Gießen, Germany., Metsch JM; Department of Medical Informatics, University Medical Center Göttingen, Germany.; University of Göttingen, Campus Institute Data Science, Göttingen, Germany.; Dpt of Predictive Deep Learning in Medicine and Healthcare, Justus-Liebig University Gießen, Germany., Weller L; aQua Institute for Applied Quality Improvement and Research in Health Care, Göttingen, Germany., Pollmann T; aQua Institute for Applied Quality Improvement and Research in Health Care, Göttingen, Germany., Kretzler M; BKK Dachverband, Berlin, Germany., Grobe T; aQua Institute for Applied Quality Improvement and Research in Health Care, Göttingen, Germany., Hauschild AC; Department of Medical Informatics, University Medical Center Göttingen, Germany.; University of Göttingen, Campus Institute Data Science, Göttingen, Germany.; Dpt of Predictive Deep Learning in Medicine and Healthcare, Justus-Liebig University Gießen, Germany.
Source: Studies in health technology and informatics [Stud Health Technol Inform] 2026 May 21; Vol. 336, pp. 388-392.
Publication Type: Journal Article
Journal Info: Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE
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              Text: 2026 May 21
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