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Standardizing Heat-Related Diagnoses for Predictive Modeling in Healthcare
Jakob Thiel1, Martin Sedlmayr1, Elisa Henke1
1Institute for Medical Informatics and Biometry, Faculty of Medicine and University Hospital Carl Gustav Carus, TU Dresden University of Technology, Dresden, Germany.
Abstract:
Climate change is increasing acute heat events, intensifying health risks and straining healthcare systems. This study aims to support heat-related diagnoses prediction models for Germany by assigning ICD-10-GM codes to relevant conditions identified from the literature. Using the OHDSI mapping tool and clinical validation, 64 heat-related conditions were coded, enhancing data standardization. This approach facilitates reliable inclusion of diagnoses in association analyses and paves the way for improved resource allocation during heat events.
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