Standardizing Heat-Related Diagnoses for Predictive Modeling in Healthcare
Research output: Contribution to book/Conference proceedings/Anthology/Report › Chapter in book/Anthology/Report › Contributed › peer-review
Contributors
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.
Details
| Original language | English |
|---|---|
| Title of host publication | dHealth 2025 |
| Pages | 43-44 |
| Number of pages | 2 |
| Volume | 324 |
| ISBN (electronic) | 978-1-64368-592-2 |
| Publication status | Published - 24 Apr 2025 |
| Peer-reviewed | Yes |
Publication series
| Series | Studies in health technology and informatics |
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| Volume | 324 |
| ISSN | 0926-9630 |
External IDs
| Scopus | 105003982197 |
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| ORCID | /0000-0002-5002-2676/work/184442374 |
| ORCID | /0000-0002-9888-8460/work/184442542 |
Keywords
Sustainable Development Goals
ASJC Scopus subject areas
Keywords
- Germany/epidemiology, Heat Stress Disorders/diagnosis, Hot Temperature, Humans, International Classification of Diseases, heat forecast, interoperability, resource utilization, heat events