Abstract: Electronic clinical files (EMRs) play an essential function in healthcare networks. Since these archives continually incorporate substantial touchy statistics related to patients, privateness maintenance for the EMR device is critical. Current schemes generally authorize a person to examine one's EMR if and solely if his/her function satisfies the described get admission to policy. However, these current schemes permit an adversary to hyperlink patients' identities to their doctors. Therefore, classifications of patients' ailments are leaked barring adversaries virtually seeing patients' EMRs. To tackle this problem, we current two nameless schemes. They now not solely gain information confidentiality however additionally recognise anonymity for individuals. The first scheme achieves reasonable security, the place adversaries pick assault goals earlier than acquiring statistics from the EMR system. The 2nd scheme achieves full security, the place adversaries adaptively pick assault ambitions after interplay with the EMR system. We grant rigorous proof displaying the safety and anonymity of our schemes. In addition, we suggest an method in which EMR proprietors can search for their EMRs in an nameless system. For a higher person experience, we practice the online/offline method to pace up records processing. Experimental consequences exhibit that the time complexity for key technology and EMR encapsulation can be decreased to milliseconds