e-Health, as a community, is facing Big Data issues from very different viewpoints.. The approaches used in P5 Medicine (Personalized, Predictive, Preventive and Participatory, Population) require a radical change in mentality and a close collaboration between physicians, patients and computer scientists from a variety of research areas. P5 Medicine will shape the four previous "P"s address medical problems in more encompassing integrative ways, creating complete Population perspectives. In this paper we present some of the key challenges involved in building a P5 framework based on the Cloud and Big Data prospective including privacy, anonymity and genetic awareness and education.. This consideration may help in raising awareness about the challenges of P5 in the build-up of personalised medicine.
Challenges in building an e-health infrastructure for P5 medicine
Milanesi Luciano
2014
Abstract
e-Health, as a community, is facing Big Data issues from very different viewpoints.. The approaches used in P5 Medicine (Personalized, Predictive, Preventive and Participatory, Population) require a radical change in mentality and a close collaboration between physicians, patients and computer scientists from a variety of research areas. P5 Medicine will shape the four previous "P"s address medical problems in more encompassing integrative ways, creating complete Population perspectives. In this paper we present some of the key challenges involved in building a P5 framework based on the Cloud and Big Data prospective including privacy, anonymity and genetic awareness and education.. This consideration may help in raising awareness about the challenges of P5 in the build-up of personalised medicine.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.