Towards Efficient Resource Utilization Forecasting in Acute Heat Events Using OMOP
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
Beitragende
Abstract
Predicting resource utilization can help to optimize the distribution of limited resources in the healthcare system. This requires different climatic and medical data from different sources, which can lead to problems with interoperability. In the paper we describe which data is needed for the prediction and how the data can be made interoperable using OMOP CDM.
Details
| Originalsprache | Englisch |
|---|---|
| Titel | Digital Health and Informatics Innovations for Sustainable Health Care Systems |
| Seiten | 1555-1559 |
| Seitenumfang | 5 |
| Band | 316 |
| ISBN (elektronisch) | 978-1-64368-533-5 |
| Publikationsstatus | Veröffentlicht - 22 Aug. 2024 |
| Peer-Review-Status | Ja |
Publikationsreihe
| Reihe | Studies in health technology and informatics |
|---|---|
| Band | 316 |
| ISSN | 0926-9630 |
Externe IDs
| Scopus | 85202000205 |
|---|---|
| ORCID | /0000-0002-5002-2676/work/166762062 |
| ORCID | /0000-0002-9888-8460/work/166764828 |
| ORCID | /0000-0003-4373-8147/work/166765380 |
Schlagworte
ASJC Scopus Sachgebiete
Schlagwörter
- Electronic Health Records, Forecasting, Health Information Interoperability, Hot Temperature, Humans, OMOP CDM, interoperability, resource utilization, heat events