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1 novembre 2020
- doi: 10.1093/jamia/ocaa172
- issn: 1067-5027
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Health care delivery Health services Personal health services Medical services Medical and health care industry Delivery of medical care Health care Healthcare Delivery of health care Learning, MachineCiter ce document
J.L. Raisaro et al., « SCOR: A secure international informatics infrastructure to investigate COVID-19. », Serveur académique Lausannois, ID : 10.1093/jamia/ocaa172
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Résumé
Global pandemics call for large and diverse healthcare data to study various risk factors, treatment options, and disease progression patterns. Despite the enormous efforts of many large data consortium initiatives, scientific community still lacks a secure and privacy-preserving infrastructure to support auditable data sharing and facilitate automated and legally compliant federated analysis on an international scale. Existing health informatics systems do not incorporate the latest progress in modern security and federated machine learning algorithms, which are poised to offer solutions. An international group of passionate researchers came together with a joint mission to solve the problem with our finest models and tools. The SCOR Consortium has developed a ready-to-deploy secure infrastructure using world-class privacy and security technologies to reconcile the privacy/utility conflicts. We hope our effort will make a change and accelerate research in future pandemics with broad and diverse samples on an international scale.