TY - GEN
T1 - Developing IHE-based PHR cloud systems
AU - Yang, Cheng Yi
AU - Liu, Chien Tsai
PY - 2013
Y1 - 2013
N2 - Population aging in the world causes medical expenses to soar. Preventive health care attracts people and government's close attention. Integrated electronic health records (EHRs) and Personal Health Records (PHRs) play a crucial role in providing continuous health care. Although, IHE (Integrating the Healthcare Enterprise) has developed the XDS (Cross Enterprise Document Sharing) integration profile for sharing clinical documents among computer systems in healthcare, the XDS integration profile may not directly support cloud computing environments where repository systems are heterogeneous and virtualized. In this paper, we propose a PHR cloud system architecture based on the cloud computing Service Model defined by the National Institute of Standards and Technology (NIST), and adopt the IHE XDS integration profile for system interoperability. To enhance computation power and system scalability we include Hadoop parallel computing model and implement a NoSQL storage layer in this PHR cloud architecture. Our approach presented here to PHR Systems Cloud architecture could be a paradigm for sharing documents in health care settings and supporting cloud computing as well.
AB - Population aging in the world causes medical expenses to soar. Preventive health care attracts people and government's close attention. Integrated electronic health records (EHRs) and Personal Health Records (PHRs) play a crucial role in providing continuous health care. Although, IHE (Integrating the Healthcare Enterprise) has developed the XDS (Cross Enterprise Document Sharing) integration profile for sharing clinical documents among computer systems in healthcare, the XDS integration profile may not directly support cloud computing environments where repository systems are heterogeneous and virtualized. In this paper, we propose a PHR cloud system architecture based on the cloud computing Service Model defined by the National Institute of Standards and Technology (NIST), and adopt the IHE XDS integration profile for system interoperability. To enhance computation power and system scalability we include Hadoop parallel computing model and implement a NoSQL storage layer in this PHR cloud architecture. Our approach presented here to PHR Systems Cloud architecture could be a paradigm for sharing documents in health care settings and supporting cloud computing as well.
KW - Cloud computing
KW - Electronic health record
KW - Personal health record
KW - System interoperability
UR - http://www.scopus.com/inward/record.url?scp=84893532521&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84893532521&partnerID=8YFLogxK
U2 - 10.1109/SocialCom.2013.164
DO - 10.1109/SocialCom.2013.164
M3 - Conference contribution
AN - SCOPUS:84893532521
SN - 9780769551371
T3 - Proceedings - SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013
SP - 1022
EP - 1025
BT - Proceedings - SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013
T2 - 2013 ASE/IEEE Int. Conf. on Social Computing, SocialCom 2013, the 2013 ASE/IEEE Int. Conf. on Big Data, BigData 2013, the 2013 Int. Conf. on Economic Computing, EconCom 2013, the 2013 PASSAT 2013, and the 2013 ASE/IEEE Int. Conf. on BioMedCom 2013
Y2 - 8 September 2013 through 14 September 2013
ER -