Model-based data integration in clinical environments
Name
Heldt-2010-Model-based data int.pdf
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520.26 KB
Format
Adobe PDF
Checksum (MD5)
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Author(s)
Heldt, Thomas
Verghese, George C.
Date Issued
August 2010
Journal
Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2010. EMBC 2010.
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Heldt, T, and G C Verghese. “Model-based data integration in clinical environments.” IEEE, 2010. 5209-5212. Web. 3 Feb. 2012. © 2010 Institute of Electrical and Electronics Engineers
Version
Final published version
Abstract
As a result of improved hospital information-technology infrastructure and declining costs of storage media, vast amounts of physiological waveform and trend data can now be continuously collected and archived from bedside monitors in operating rooms, intensive care units, or even regular hospital rooms. The real-time or off-line processing of such volumes of high-resolution data, in attempts to turn raw data into clinically actionable information, poses significant challenges. However, it also presents researchers - and eventually clinicians - with unprecedented opportunities to move beyond the traditional individual-channel analysis of waveform data, and towards an integrative patient-monitoring framework, with likely improvements in patient care and safety. We outline some of the challenges and opportunities, and propose strategies for model-based integration of physiological data to improve patient monitoring.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Research Laboratory of Electronics
Harvard--MIT Program in Health Sciences and Technology. Laboratory for Computational Physiology
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/iembs.2010.5626101
