Data Fusion and Aggregation Methods for Pre-Processing Ambulatory Monitoring and Remote Sensor Data for Upload to Personal Electronic Health Records

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dc.contributor.author Moulton, BD
dc.contributor.author Chaczko, ZC
dc.contributor.author Karatovic, M
dc.date.accessioned 2010-05-28T09:57:38Z
dc.date.issued 2009-01
dc.identifier.citation International Journal of Digital Content Technology a..., 2009, 3 (4), pp. 120 - 127
dc.identifier.issn 1975-9339
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/10596
dc.description.abstract Several countries including Australia are developing standards for personal electronic health records, and in many cases the standards provide ways for patients to upload data from their own sensor systems to their electronic health records. This article explores issues relating to the design of systems where electronic medical records are updated with data or meta-data from in-home or on-body health monitoring sensor systems. A prototype system was designed, implemented and subsequently evaluated in a way intended to further understanding regarding collection and transfer of sensor data to an electronic health record. A key issue that arose was the extent to which levels of confidence in the data may be affected by the type, quality, installation, maintenance and calibration of the sensors.
dc.publisher Advanced Institute of Convergence IT
dc.title Data Fusion and Aggregation Methods for Pre-Processing Ambulatory Monitoring and Remote Sensor Data for Upload to Personal Electronic Health Records
dc.type Journal Article
dc.parent International Journal of Digital Content Technology a...
dc.journal.volume 4
dc.journal.volume 3
dc.journal.number 4 en_US
dc.publocation United States en_US
dc.identifier.startpage 120 en_US
dc.identifier.endpage 127 en_US
dc.cauo.name FEIT.School of Elec, Mech and Mechatronic Systems en_US
dc.conference Verified OK en_US
dc.for 200102 Communication Technology and Digital Media Studies
dc.personcode 011197
dc.personcode 010755
dc.percentage 100 en_US
dc.classification.name Communication Technology and Digital Media Studies en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords Electronic health records, Ambulatory monitoring, personal health sensors, data fusion en_US
dc.description.keywords Electronic health records, Ambulatory monitoring, personal health sensors, data fusion
dc.description.keywords Electronic health records, Ambulatory monitoring, personal health sensors, data fusion
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computing and Communications
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Elec, Mech and Mechatronic Systems
pubs.organisational-group /University of Technology Sydney/Strength - Health Technologies
pubs.organisational-group /University of Technology Sydney/Strength - Realtime Information Networks


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