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Towards Efficient Resource Utilization Forecasting in Acute Heat Events Using OMOP.
Thiel, Jakob; Nesterow, Igor; Sedlmayr, Martin; Weidner, Jens; Henke, Elisa.
Affiliation
  • Thiel J; Institute for Medical Informatics and Biometry, Carl Gustav Carus Faculty of Medicine, Technische Universität Dresden, Dresden, Germany.
  • Nesterow I; Institute for Medical Informatics and Biometry, Carl Gustav Carus Faculty of Medicine, Technische Universität Dresden, Dresden, Germany.
  • Sedlmayr M; Institute for Medical Informatics and Biometry, Carl Gustav Carus Faculty of Medicine, Technische Universität Dresden, Dresden, Germany.
  • Weidner J; Institute for Medical Informatics and Biometry, Carl Gustav Carus Faculty of Medicine, Technische Universität Dresden, Dresden, Germany.
  • Henke E; Institute for Medical Informatics and Biometry, Carl Gustav Carus Faculty of Medicine, Technische Universität Dresden, Dresden, Germany.
Stud Health Technol Inform ; 316: 1555-1559, 2024 Aug 22.
Article in En | MEDLINE | ID: mdl-39176503
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Forecasting Limits: Humans Language: En Journal: Stud Health Technol Inform Journal subject: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Year: 2024 Document type: Article Affiliation country:
Fulltext
Add to My VHL
Print
XML
PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Forecasting Limits: Humans Language: En Journal: Stud Health Technol Inform Journal subject: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Year: 2024 Document type: Article Affiliation country: