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- W3043945595 abstract "Abstract Objective ‘Data’ is relevant in evolving value-based healthcare that involves machine learning and artificial intelligence-based technologies which are increasingly changing the landscape of personalised medicine (PM). However, a lack in adequate data for decision making may lead to new forms of health inequalities spite of the advancement in the technological front. There exists a dearth in alignment between incentive structures for innovation and policy measures for collective action and data transparency. Against this background, this article identifies the legal challenges for a data-driven PM in Europe. Transparency, data protection and Intellectual property rights (IP) are major legal challenges for data-oriented personalised research in Europe. Consequently, there is a need for restructuring public policy strategies in the interest of patients. Method Legal dogmatic analysis of structural inefficiencies within interrelated legal paradigm over data that limits a functional development of a data-driven PM. Result Engaging in the data movement in personalised health care calls for special attention to strategic tools such as co-regulation and self-regulation that bridge the gap in law and practice." @default.
- W3043945595 created "2020-07-29" @default.
- W3043945595 creator A5067795213 @default.
- W3043945595 date "2020-09-01" @default.
- W3043945595 modified "2023-09-29" @default.
- W3043945595 title "Policy strategies for personalising medicine “in the data moment”" @default.
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- W3043945595 doi "https://doi.org/10.1016/j.hlpt.2020.07.003" @default.
- W3043945595 hasPublicationYear "2020" @default.
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