How to Share Data and Promote a Rapid Learning Health Medicine?
The current increasing amount of digitalized medical data in healthcare demands for solutions to store, share, mine, and analyze these data. Today, medical knowledge and evidence is based on outdated data. Tomorrow we aim to have a rapid learning healthcare (RLHC) system in which evidence can be generated instantly, based on the most recent data available. The development of this system requires dedication and support of healthcare providers, politicians, and patients on many levels. The aims of this system are improvement of healthcare quality and support in clinical decision making. Full integration of data handling systems within the clinic and between institutes is inevitable in the near future.
The authors acknowledge financial support from the QuIC-ConCePT project, which is partly funded by EFPIA companies and the Innovative Medicine Initiative Joint Undertaking (IMI JU) under Grant Agreement No. 115151. This research is also supported by the Dutch Technology Foundation STW (grant no. 10696 DuCAT), which is the applied science division of NWO, and the Technology Programme of the Ministry of Economic Affairs. They also acknowledge financial support from EU 7th Framework Programme (EURECA, ARTFORCE – no. 257144, REQUITE – no. 601826), Kankeronderzoekfonds Limburg from the Health Foundation Limburg, Alpe d’HuZes-KWF (DESIGN), and the Dutch Cancer Society (KWF MAC 2013-6425, KWF MAC 2013-6089, KWF 2015-7635).
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