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Potential of Machine Learning for Discharge Management Using Routine Health Insurance Data

Year: 2026

Type: conference-paper

Abstract: Introduction: The use of artificial intelligence, particularly machine learning models, to develop predictive models from health insurance routine data is becoming increasingly common [ref:1], [ref:2]. However, it’s not always clear when and how to leverage the advantages [for full text, please go to the a.m. URL]

Source: German Medical Science (German Research Foundation)

DOI: 10.3205/25gmds203

Authors: Ritter, Zully, Maurer, Miriam Cindy, Beinecke, Jacqueline, Weller, Lisa, Pollmann, Thorsten, Kretzler, Matthias, Grobe, Thomas, Hauschild, Anne-Christin

Institutions: Universitätsmedizin Göttingen, University of Göttingen, Justus-Liebig-Universität Gießen

Language: English

Topic: Machine Learning in Healthcare

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7147414602

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