Maximizing Research on Long COVID using FHIR and OMOP
In 2020 The European commission funded the ORCHESTRA project with the aim to join the efforts of several European research centers in the research around the COVID-19 disease. One of the main challenges was to harmonize data across the different cohorts and countries. The introduction of standard t...
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| Format: | Article |
| Language: | English |
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Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca
2024-11-01
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| Series: | Applied Medical Informatics |
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| Online Access: | https://ami.info.umfcluj.ro/index.php/AMI/article/view/1078 |
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| _version_ | 1841558924821528576 |
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| author | Eugenia RINALDI Lorenzo CANZIANI Salvatore CAUTADELLA Chiara DELLACASA Anna GORSKA Juan Mata NARANJO Thomas OSMO Miroslav PUSKARIC Elisa ROSSI Sylvia THUN |
| author_facet | Eugenia RINALDI Lorenzo CANZIANI Salvatore CAUTADELLA Chiara DELLACASA Anna GORSKA Juan Mata NARANJO Thomas OSMO Miroslav PUSKARIC Elisa ROSSI Sylvia THUN |
| author_sort | Eugenia RINALDI |
| collection | DOAJ |
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In 2020 The European commission funded the ORCHESTRA project with the aim to join the efforts of several European research centers in the research around the COVID-19 disease. One of the main challenges was to harmonize data across the different cohorts and countries. The introduction of standard terminologies such as SNOMED CT or LOINC helped establish a common language within the project. Over 3500 variables from several information categories were mapped to international codes from standard terminologies. After four years since the start of the pandemic, the study of long COVID seems to be of particular relevance due to the long-term effects that some people keep experiencing even after the infection has disappeared. To facilitate this research, we selected the ORCHESTRA variables that concerned long COVID and mapped them to the standards FHIR and OMOP to possibly support further data exchange with other research organizations.
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| format | Article |
| id | doaj-art-7ff843ff08ff48699c8794dfb264a0c7 |
| institution | Kabale University |
| issn | 2067-7855 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca |
| record_format | Article |
| series | Applied Medical Informatics |
| spelling | doaj-art-7ff843ff08ff48699c8794dfb264a0c72025-01-05T21:07:23ZengIuliu Hatieganu University of Medicine and Pharmacy, Cluj-NapocaApplied Medical Informatics2067-78552024-11-0146Suppl. 2Maximizing Research on Long COVID using FHIR and OMOPEugenia RINALDI0Lorenzo CANZIANI1Salvatore CAUTADELLA2Chiara DELLACASA3Anna GORSKA4Juan Mata NARANJO5Thomas OSMO6Miroslav PUSKARIC7Elisa ROSSI8Sylvia THUN9Berlin Institute of Health at Charité-Universitaetsmedizin Berlin, Luisenstr. 65 10117 Berlin, GermanyUniversity of Verona, Via S. Francesco, 22, Verona, ItalyCineca Consorzio Interuniversitario, Bologna, Via Magnanelli, 6/3, 40033 Casalecchio di Reno BO, ItalyCineca Consorzio Interuniversitario, Bologna, Via Magnanelli, 6/3, 40033 Casalecchio di Reno BO, ItalyUniversity of Verona, Via S. Francesco, 22, Verona, ItalyCineca Consorzio Interuniversitario, Bologna, Via Magnanelli, 6/3, 40033 Casalecchio di Reno BO, ItalyCentre Informatique National de l'Enseignement Supérieur, 950 Rue de St - Priest, 34000 Montpellier, FranceHigh-Performance Computing Center, Nobelstraße 19, 70569 Stuttgart, GermanyCineca Consorzio Interuniversitario, Bologna, Via Magnanelli, 6/3, 40033 Casalecchio di Reno BO, ItalyBerlin Institute of Health at Charité-Universitaetsmedizin Berlin, Luisenstr. 65 10117 Berlin, Germany In 2020 The European commission funded the ORCHESTRA project with the aim to join the efforts of several European research centers in the research around the COVID-19 disease. One of the main challenges was to harmonize data across the different cohorts and countries. The introduction of standard terminologies such as SNOMED CT or LOINC helped establish a common language within the project. Over 3500 variables from several information categories were mapped to international codes from standard terminologies. After four years since the start of the pandemic, the study of long COVID seems to be of particular relevance due to the long-term effects that some people keep experiencing even after the infection has disappeared. To facilitate this research, we selected the ORCHESTRA variables that concerned long COVID and mapped them to the standards FHIR and OMOP to possibly support further data exchange with other research organizations. https://ami.info.umfcluj.ro/index.php/AMI/article/view/1078FHIROMOP CDMLong COVIDStandardInteroperability |
| spellingShingle | Eugenia RINALDI Lorenzo CANZIANI Salvatore CAUTADELLA Chiara DELLACASA Anna GORSKA Juan Mata NARANJO Thomas OSMO Miroslav PUSKARIC Elisa ROSSI Sylvia THUN Maximizing Research on Long COVID using FHIR and OMOP Applied Medical Informatics FHIR OMOP CDM Long COVID Standard Interoperability |
| title | Maximizing Research on Long COVID using FHIR and OMOP |
| title_full | Maximizing Research on Long COVID using FHIR and OMOP |
| title_fullStr | Maximizing Research on Long COVID using FHIR and OMOP |
| title_full_unstemmed | Maximizing Research on Long COVID using FHIR and OMOP |
| title_short | Maximizing Research on Long COVID using FHIR and OMOP |
| title_sort | maximizing research on long covid using fhir and omop |
| topic | FHIR OMOP CDM Long COVID Standard Interoperability |
| url | https://ami.info.umfcluj.ro/index.php/AMI/article/view/1078 |
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