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- W2149372000 abstract "Governments and health care payers everywhere seek ways how to design public funding policies for high-cost drugs, which are increasingly personalized and often only effective in small population groups or sub-groups. Access to drugs is usually preceded by health technology assessment. Challenges for access to effective drugs at the patient level remain, as the current reimbursement environment is not ready to encompass the complexity of Personalized Medicine. A high level of uncertainty remains as to how, for whom and which type of Personalized Medicine should unfold in the future. Foresight modeling may come into play here. Foresight is a systematic approach to look into the longer-term future of science and technologies and their potential impacts on society. It aims at identifying research and development areas likely to generate future economic, environmental and social benefits." @default.
- W2149372000 created "2016-06-24" @default.
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- W2149372000 date "2015-04-14" @default.
- W2149372000 modified "2023-10-14" @default.
- W2149372000 title "Personalized Medicine Takes Foresight and Smart Public Policies" @default.
- W2149372000 cites W2102830538 @default.
- W2149372000 doi "https://doi.org/10.15406/mojph.2015.02.00021" @default.
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