Towards Efficient Resource Utilization Forecasting in Acute Heat Events Using OMOP
Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-review
Contributors
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
| Original language | English |
|---|---|
| Title of host publication | Digital Health and Informatics Innovations for Sustainable Health Care Systems |
| Pages | 1555-1559 |
| Number of pages | 5 |
| Volume | 316 |
| ISBN (electronic) | 978-1-64368-533-5 |
| Publication status | Published - 22 Aug 2024 |
| Peer-reviewed | Yes |
Publication series
| Series | Studies in health technology and informatics |
|---|---|
| Volume | 316 |
| ISSN | 0926-9630 |
External IDs
| Scopus | 85202000205 |
|---|---|
| ORCID | /0000-0002-5002-2676/work/166762062 |
| ORCID | /0000-0002-9888-8460/work/166764828 |
| ORCID | /0000-0003-4373-8147/work/166765380 |
Keywords
ASJC Scopus subject areas
Keywords
- Electronic Health Records, Forecasting, Health Information Interoperability, Hot Temperature, Humans, OMOP CDM, interoperability, resource utilization, heat events