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Journal Articles
- 2019
[j5]Brecht Claerhout, Dipak Kalra, Christina Mueller, Gurparkash Singh, Nadir Ammour, Laura Meloni, Juuso Blomster, Mark Hopley, George Kafatos
, Almenia Garvey, Peter Kuhn, Martine Lewi, Bart Vannieuwenhuyse, Benoît Marchal, Ketan Patel, Christoph Schindler, Mats Sundgren:
Federated electronic health records research technology to support clinical trial protocol optimization: Evidence from EHR4CR and the InSite platform. J. Biomed. Informatics 90 (2019)- 2017
- [j4]Danielle Dupont, Ariel Beresniak, Mats Sundgren, Andreas Schmidt, John D. Ainsworth, Pascal Coorevits, Dipak Kalra, Marc Dewispelaere, Georges De Moor:
Business analysis for a sustainable, multi-stakeholder ecosystem for leveraging the Electronic Health Records for Clinical Research (EHR4CR) platform in Europe. Int. J. Medical Informatics 97: 341-352 (2017) - 2015
- [j3]Georges De Moor, Mats Sundgren, Dipak Kalra, Andreas Schmidt, Martin Dugas, Brecht Claerhout, Töresin Karakoyun, Christian Ohmann, Pierre-Yves Lastic, Nadir Ammour, Rebecca Daniels Kush, Danielle Dupont, Marc Cuggia, Christel Daniel, Geert Thienpont, Pascal Coorevits:
Using electronic health records for clinical research: The case of the EHR4CR project. J. Biomed. Informatics 53: 162-173 (2015) - 2011
- [j2]Alexander Styhre, Mats Sundgren:
Management regimes in science-based innovation: control and uncertainty during early phases of new drug development. Technol. Anal. Strateg. Manag. 23(5): 567-581 (2011) - 2003
- [j1]Alexander Styhre, Mats Sundgren:
Creativity as connectivity: a rhizome model of creativity. Int. J. Internet Enterp. Manag. 1(4): 421-436 (2003)
Conference and Workshop Papers
- 2020
- [c1]Nicolas Griffon, Helena Pereira, Juliette Djadi-Prat, María Teresa García, Sara Testoni, Manon Cariou, Jacques Hilbey, Aurèle N'dja, Grégory Navarro, Nicola Gentili, Oriana Nanni, Massimo Raineri, Gilles Chatellier, Agustín Gómez De La Camara, Martine Lewi, Mats Sundgren, Christel Daniel, Almenia Garvey, Marija Todorovic, Nadir Ammour:
Performances of a Solution to Semi-Automatically Fill eCRF with Data from the Electronic Health Record: Protocol for a Prospective Individual Participant Data Meta-Analysis. MIE 2020: 367-371
Coauthor Index
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