A system for electronic delivery of information in personalized healthcare, the system comprising: a social network infrastructure with one or more servers configured to host a social network configured to facilitate interactions between multiple health care provider participants with respect to health care of a patient, including inviting health care provider participants within the social network to collaborate with respect to medical care of the patient, the collaboration based on a referral process through the social network and including sharing information between the multiple health care provider participants to make determinations with respect to the health care of the patient, the social network is configured to allow sharing via bidirectional secure communication within the social network; and a data analytics unit (926, 838) including one or more servers coupled to the social network, configured to receive the information from one or more of the multiple health care provider participants concerning the health care of the patient through the social network, characterized in that the data analytics unit (926, 838) is further configured to analyze the received information in relation to data from other individuals using predictive analytics based on one or more of: machine learning algorithms, data mining, and statistical analysis techniques, the analysis further including curating the received and analyzed information; the system comprises a reporting unit (930, 826) configured to generate an integrated report based on the analysis of the received and analyzed information and to deliver the integrated report to one of the multiple health care provider participants through a personalized health care tailored dashboard, the integrated report providing information regarding a personalized treatment with respect to health care of the patient; and the analysis of the received information in relation to the data from the other individuals by the data analytics unit includes performing a semantic search against the data from the other individuals to discover and rank one or more of the other individuals cases with known treatment outcome similar to the patient's case to provide the personalized treatment in the patient's case. a social network infrastructure with one or more servers configured to host a social network configured to facilitate interactions between multiple health care provider participants with respect to health care of a patient, including inviting health care provider participants within the social network to collaborate with respect to medical care of the patient, the collaboration based on a referral process through the social network and including sharing information between the multiple health care provider participants to make determinations with respect to the health care of the patient, the social network is configured to allow sharing via bidirectional secure communication within the social network; and a data analytics unit (926, 838) including one or more servers coupled to the social network, configured to receive the information from one or more of the multiple health care provider participants concerning the health care of the patient through the social network, characterized in that the data analytics unit (926, 838) is further configured to analyze the received information in relation to data from other individuals using predictive analytics based on one or more of: machine learning algorithms, data mining, and statistical analysis techniques, the analysis further including curating the received and analyzed information; the system comprises a reporting unit (930, 826) configured to generate an integrated report based on the analysis of the received and analyzed information and to deliver the integrated report to one of the multiple health care provider participants through a personalized health care tailored dashboard, the integrated report providing information regarding a personalized treatment with respect to health care of the patient; and the analysis of the received information in relation to the data from the other individuals by the data analytics unit includes performing a semantic search against the data from the other individuals to discover and rank one or more of the other individuals cases with known treatment outcome similar to the patient's case to provide the personalized treatment in the patient's case.