TY - GEN
T1 - Data consistency within a pervasive medical environment
AU - O'Donoghue, John
AU - Herbert, John
AU - Salerno-Kennedy, Rossana
PY - 2006
Y1 - 2006
N2 - Within a pervasive medical environment multiple sources of static and dynamic datasets exist. A high degree of importance is associated with this data, as medical practitioners prescribe relevant patient care based on the information provided. Pervasive environments contain multiple points of access that allow medical practitioners to read and modify patient datasets using PCs, PDAs and other mobile devices. Enabling medical practitioners to modify a patient dataset introduces a new data consistency problem. Presented is the Data Management System-Data Consistency Model (DMS-DCM). It is designed to intelligently interact with servers, mobile computing devices and patient sensor nodes within a wireless sensor network (WSN). Effective data consistency is a fundamental requirement within health informatics, since it provides the foundation to ensure that medical practitioners receive up-to-date data on time every time. In a distributed dynamic environment multiple views of the same dataset may exist. The DMS-DCM employs a JADE agent platform to ensure that all relevant medical practitioners share a consistent view of patient datasets in real-time. The DMS-DCM experimental prototype is presented.
AB - Within a pervasive medical environment multiple sources of static and dynamic datasets exist. A high degree of importance is associated with this data, as medical practitioners prescribe relevant patient care based on the information provided. Pervasive environments contain multiple points of access that allow medical practitioners to read and modify patient datasets using PCs, PDAs and other mobile devices. Enabling medical practitioners to modify a patient dataset introduces a new data consistency problem. Presented is the Data Management System-Data Consistency Model (DMS-DCM). It is designed to intelligently interact with servers, mobile computing devices and patient sensor nodes within a wireless sensor network (WSN). Effective data consistency is a fundamental requirement within health informatics, since it provides the foundation to ensure that medical practitioners receive up-to-date data on time every time. In a distributed dynamic environment multiple views of the same dataset may exist. The DMS-DCM employs a JADE agent platform to ensure that all relevant medical practitioners share a consistent view of patient datasets in real-time. The DMS-DCM experimental prototype is presented.
UR - http://www.scopus.com/inward/record.url?scp=50149119702&partnerID=8YFLogxK
U2 - 10.1109/ICSENS.2007.355785
DO - 10.1109/ICSENS.2007.355785
M3 - Conference contribution
AN - SCOPUS:50149119702
SN - 1424403766
SN - 9781424403769
T3 - Proceedings of IEEE Sensors
SP - 968
EP - 971
BT - 2006 5th IEEE Conference on Sensors
T2 - 2006 5th IEEE Conference on Sensors
Y2 - 22 October 2006 through 25 October 2006
ER -