Federated electronic health records for the European Health Data Space

The Lancet Digital Health - Tập 5 - Trang e840-e847 - 2023
René Raab1, Arne Küderle1, Anastasiya Zakreuskaya1, Ariel D Stern2, Jochen Klucken3,4,5, Georgios Kaissis6,7,8, Daniel Rueckert6,8, Susanne Boll9, Roland Eils10, Harald Wagener10, Bjoern M Eskofier1
1Machine Learning and Data Analytics Lab, Department of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
2Harvard Business School and Harvard-MIT Center for Regulatory Science, Boston, MA, USA
3Chair of Digital Medicine, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
4Digital Medicine Group, Luxembourg Institute of Health, Strassen, Luxembourg
5Centre hospitalier de Luxembourg, Luxembourg, Luxembourg
6Klinikum Rechts der Isar, Technical University of Munich, Institute for Artificial Intelligence and Informatics in Medicine, Munich, Germany
7Helmholtz Munich, Institute for Machine Learning in Biomedical Imaging, Neuherberg, Germany
8Department of Computing, Imperial College London, London, UK
9OFFIS—Institut für Informatik, Oldenburg, Germany
10Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Digital Health Center, Berlin, Germany

Tài liệu tham khảo

Courtiol, 2019, Deep learning-based classification of mesothelioma improves prediction of patient outcome, Nat Med, 25, 1519, 10.1038/s41591-019-0583-3 Ekins, 2019, Exploiting machine learning for end-to-end drug discovery and development, Nat Mater, 18, 435, 10.1038/s41563-019-0338-z Simpson, 2020, Early Pandemic Evaluation and Enhanced Surveillance of COVID-19 (EAVE II): protocol for an observational study using linked Scottish national data, BMJ Open, 10, 10.1136/bmjopen-2020-039097 Niazkhani, 2020, Barriers to patient, provider, and caregiver adoption and use of electronic personal health records in chronic care: a systematic review, BMC Med Inform Decis Mak, 20, 153, 10.1186/s12911-020-01159-1 Ruhi, 2021, Sociotechnical drivers and barriers in the consumer adoption of personal health records: empirical investigation, JMIR Med Inform, 9, 10.2196/30322 Epstein, 2011, The values and value of patient-centered care, Ann Fam Med, 9, 100, 10.1370/afm.1239 Morozov, 2013 Braun, 2021, Represent me: please! Towards an ethics of digital twins in medicine, J Med Ethics, 47, 394, 10.1136/medethics-2020-106134 Tapuria, 2021, Impact of patient access to their electronic health record: systematic review, Inform Health Soc Care, 46, 192, 10.1080/17538157.2021.1879810 Bell, 2014, Sharing my health data: a survey of data sharing preferences of healthy individuals, AMIA Annu Symp Proc, 2014, 1699 Kim, 2019, Patient perspectives about decisions to share medical data and biospecimens for research, JAMA Netw Open, 2, 10.1001/jamanetworkopen.2019.9550 Dwork, 2014, The algorithmic foundations of differential privacy, Found Trends Theor Comput Sci, 9, 211, 10.1561/0400000042 Kaissis, 2020, Secure, privacy-preserving and federated machine learning in medical imaging, Nat Mach Intell, 2, 305, 10.1038/s42256-020-0186-1 Kaissis, 2021, End-to-end privacy preserving deep learning on multi-institutional medical imaging, Nat Mach Intell, 3, 473, 10.1038/s42256-021-00337-8 Posnack
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The Lancet Digital Health

Tập 5

e840-e847

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