A web-enabled framework for smart card applications in health services
Communications of the ACM
Accessing DICOM 2D/3D-Image and Waveform Data on Mobile Devices
Mobile Computing in Medicine, Second Conference on Mobile Computing in Medicine, Workshop of the Project Group MoCoMed, GMDS-Fachbereich Medizinische Informatik & GI-Fachausschuss 4.7
Health Level-7 compliant clinical patient records system
Proceedings of the 2004 ACM symposium on Applied computing
Applications of context-aware computing in hospital work: examples and design principles
Proceedings of the 2004 ACM symposium on Applied computing
Clinical Applications of Handheld Computers
CBMS '04 Proceedings of the 17th IEEE Symposium on Computer-Based Medical Systems
PDA vs. laptop: a comparison of two versions of a nursing documentation application
CBMS'03 Proceedings of the 16th IEEE conference on Computer-based medical systems
Implementation of a WAP-based telemedicine system for patient monitoring
IEEE Transactions on Information Technology in Biomedicine
A wireless PDA-based physiological monitoring system for patient transport
IEEE Transactions on Information Technology in Biomedicine
A mobile teletrauma system using 3G networks
IEEE Transactions on Information Technology in Biomedicine
Managing care through the air [remote health monitoring]
IEEE Spectrum
Journal of Mobile Multimedia
Non-invasive method for patient-specific virtual heart based on fiber-fluid model
Journal of Mobile Multimedia
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We describe a wireless enabled solution for the vizualisation of pain data. Our approach uses pain drawings to record spatial location and type of pain and enables data collection with appropriate time stamping, thus providing a means for the seldom-recorded (but often attested) time-varying nature of pain, with consequential impact on monitoring the effectiveness of patient treatment regimes. Moreover, since the implementation platform of our solution is that of a Personal Digital Assistant (PDA), data collection takes place ubiquitously, providing back pain sufferers with mobility problems (such as wheelchair users) with a convenient means of logging their pain data and of seamlessly uploading it to a hospital server using WiFi technology. Stakeholder results show that, notwithstanding problems related to PDA data input, our approach is generally perceived to be an easy to use and convenient solution to the challenges of anywhere/anytime data collection.