Author :
Choi, Sae Sol ; Choi, Mun Kee ; Song, Won Jay ; Son, Sang H.
Abstract :
In this paper, we have studied ubiquitous personal healthcare systems using radio frequency identification (RFID) tag, wearable electrocardiogram (ECG) sensor, smart card, PQRM grid computing, PhysioNet, wired/wireless network, and public-key infrastructure (PKI) technologies. For research and development of these systems, we have also designed and modeled the system architecture and framework workflow, which are described by six classified core players or subsystems. They are consisting of the patient area network and wearable sensor provider, network service provider, healthcare service provider, emergency service provider, and PKI service providers, whose individual private and public keys should be stored on their smart card and be used to enhance security level control for the patient´s medical privacy. All ECG measured data in wearable ECG sensor and analyzed data in grid computing with PhysioNet should be encrypted by using an individually generated one-time secure key with expire-time by the patient´s and healthcare service provider´s private keys, respectively. These encrypted medical data and encrypted secure keys should be also transferred to the network service provider via secured communication channels in wired/wireless networks. In addition, these encrypted data and keys should be stored on the secured database directory of network service provider. Therefore, all of the patient and providers need suitable secure private and public keys in order to access to ECG medical raw data, diagnosis results and tracking information for emergency service. By enforcing the requirements of necessary keys among the patient and providers, the patient´s ECG data can be successfully protected and be effectively controlled over the open medical directory service. Consequently, the proposed architecture for ubiquitous RFID healthcare system is appropriate to build up medical privacy policies. Further, the system architecture workflow is modeled and verified using Pe- - tri nets
Keywords :
Petri nets; data privacy; electrocardiography; grid computing; health care; medical computing; medical information systems; patient care; personal area networks; portals; private key cryptography; public key cryptography; radiofrequency identification; ubiquitous computing; ECG; PQRM grid computing; Petri nets; PhysioNet grid portal service; data encryption; emergency service; network service provider; open medical directory service; patient area network; patient medical privacy; radio frequency identification; secured communication channel; security level control; smart card; system architecture; ubiquitous RFID healthcare system analysis; wearable electrocardiogram sensor; Cryptography; Electrocardiography; Intelligent sensors; Medical diagnostic imaging; Medical services; Petri nets; Portals; Public key; Radiofrequency identification; Wearable sensors; Grid computing; PKI; PQRM; PhysioNet; RFID; Ubiquitous healthcare system; medical privacy control; smart card;
