Standardizing Heat-Related Diagnoses for Predictive Modeling in Healthcare
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Buch/Sammelband/Gutachten › Beigetragen › Begutachtung
Beitragende
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
| Originalsprache | Englisch |
|---|---|
| Titel | dHealth 2025 |
| Seiten | 43-44 |
| Seitenumfang | 2 |
| Band | 324 |
| ISBN (elektronisch) | 978-1-64368-592-2 |
| Publikationsstatus | Veröffentlicht - 24 Apr. 2025 |
| Peer-Review-Status | Ja |
Publikationsreihe
| Reihe | Studies in health technology and informatics |
|---|---|
| Band | 324 |
| ISSN | 0926-9630 |
Externe IDs
| Scopus | 105003982197 |
|---|---|
| ORCID | /0000-0002-5002-2676/work/184442374 |
| ORCID | /0000-0002-9888-8460/work/184442542 |
Schlagworte
Ziele für nachhaltige Entwicklung
ASJC Scopus Sachgebiete
Schlagwörter
- Germany/epidemiology, Heat Stress Disorders/diagnosis, Hot Temperature, Humans, International Classification of Diseases, heat forecast, interoperability, resource utilization, heat events