SAS metadata Version 1
This file contains the FHIR CapabilityStatement and FHIR Provenance ressources created within this use case in the local onFHIR store. It covers both #1 Characterization of multimorbidity patterns and association with health outcomes in the elderly and #2 Early prediction service for 30-days readmission risk in COPD patients.
LHA ID: 8C8UR2F3D7-6
Filename:
us1-sas-metadata.zip
Format: Zip file
Size: 1.77 MB
Data file type: Not specified
Human Diseases: No Human Disease specified
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Created: 31st Mar 2022 at 17:40
Last updated: 20th Apr 2022 at 12:47
Last used: 20th Apr 2024 at 00:09
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Version History
Version 1 Created 31st Mar 2022 at 17:40 by Matthias Löbe
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Related items
FAIR4Health is a Horizon 2020 project which aims to FAIRify medical datasets.
Programme: Science with and for Society (SwafS) in Horizon 2020
Public web page: https://www.fair4health.eu/
Start date: 1st Dec 2019
End date: 30th Nov 2021
Submitter: Matthias Löbe
Studies: #1 Characterization of multimorbidity patterns and association with heal...
Resources: Clinical Dataset
To achieve the objective of Use Case 1, a retrospective study has been performed with data from 5 EU cohorts in different health care settings (hospital, primary care, nursing homes) and health research organizations:
- UNIGE: provides anonymized health care data from the EHR of the University Hospitals of Geneva.
- SAS: provides health care data from the EHR of the Virgen del Rocío University Hospital in Seville as part of the Andalusian Health Service.
- UCSC: provides health ...
Submitter: Matthias Löbe
Investigation: FAIR4Health Pathfinder Case Studies
Resources: Clinical Dataset
Study type: Secondary data analysis
Clinical data extracted from local EHR systems.
Submitter: Matthias Löbe
Resource type: Experimental Assay Type
Technology type: Technology Type
Investigation: FAIR4Health Pathfinder Case Studies
https://orcid.org/0000-0002-2344-0426
Projects: FAIR4Health
Web page: https://ec.europa.eu/programmes/horizon2020/en/h2020-section/science-and-society
